Pith. sign in

REVIEW 3 major objections 6 minor 151 references

Disaster Informatics after the COVID-19 Pandemic: Bibliometric and Topic Analysis based on Large-scale Academic Literature

T0 review · 3 major / 6 minor · reviewed 2026-08-06 · deepseek-v4-flash

Challenge this review Re-run · record.json Download PDF Read on arXiv ↗

Pith's one-line read The COVID-19 pandemic shifted disaster informatics research toward public health, according to a 5,494-paper bibliometric and topic analysis.

desk verdict A thorough but mislabeled corpus: the findings describe pandemic-era literature that mentions 'pandemic crisis,' not disaster informatics. read the letter →

arxiv 2507.16820 v1 pith:UIXPKFFF submitted 2025-06-28 cs.SI cs.AIcs.CLcs.DL

Ngan Tran , Haihua Chen , Ana Cleveland , Yuhan Zhou This is my paper
classification cs.SIcs.AIcs.CLcs.DL
keywords disasterinformaticsCOVID-19pandemicbibliometricanalysistopicmodelinglargelanguagemodelspublichealthresearchprioritiescollaborationnetworks
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The reading

The paper tries to establish that the COVID-19 pandemic reshaped disaster informatics—the field that applies information technology to disaster preparedness, response, and recovery—by shifting its research priorities toward public health. It bases this claim on a bibliometric and topic analysis of 5,494 papers published from January 2020 to September 2022, drawn from three literature databases. The paper maps the most active countries, institutions, and authors, their collaboration networks, and the twelve most significant research topics, and reports that pandemic-hit countries were the most productive, that collaborations cluster by geography and language, and that top authors form tight one-or-two-partner partnerships. A sympathetic reader would care because, if the shift is real, disaster informatics can no longer be treated as a natural-hazard field with public health on the margins.

What carries the argument

The carrying mechanism is a five-metric topic-model evaluation pipeline. The paper compares four topic-modeling configurations and selects the one that needs no preset number of topics, using transformer-based sentence embeddings, dimensionality reduction, density-based clustering, and class-based TF-IDF keyword scoring. It scores the resulting topics by coherence, perplexity, diversity, average topic-embedding similarity, and topic significance (distance from a uniform word distribution), then takes the twelve highest-significance topics, summarizes them with two large language models, and has two human raters judge how well each summary matches the abstracts. This pipeline is what converts the raw corpus into the claimed twelve-topic structure and the asserted public-health shift.

What would settle it

Take a random sample of about 200 of the 5,494 documents and code each for whether it engages disaster or crisis management rather than merely mentioning "pandemic" or "COVID-19"; if most sampled papers are ordinary clinical, nutritional, or consumer-behavior studies, then the twelve topics and the claimed public-health shift are artifacts of the inclusion rule.

Watch

Extended reading notes

Core claim

The paper's central claim is that the post-2020 disaster informatics literature is dominated by public-health themes, and that this marks an evolution of the field from a narrow focus on natural disasters and social-media monitoring to a holistic approach spanning health, technology, environment, and resilience. The twelve most significant topics it extracts include healthcare-worker burnout, maternal health, dental education, nutrition and immunity, virus genomics, virus inactivation, pharmacy practice, and contact-tracing technology, alongside trade, waste, and consumer behavior. The paper also establishes that the most active countries were among those hardest hit by the pandemic, that country and institution collaborations follow regional and linguistic lines, and that authors specialize in one or two topics while institutions spread across several. Methodologically, it claims that a one-stage transformer-based topic model beat three two-stage variants on coherence, diversity, and topic significance, and that one of two large language models produced topic summaries rated more comprehensive by two human evaluators.

Load-bearing premise

The load-bearing assumption is that the 5,494-paper corpus actually represents disaster informatics, even though a document is kept if it mentions any of "disaster," "crisis," "pandemic," or "COVID-19"—so a large share of the papers may be general pandemic research rather than disaster informatics.

Editorial extensions

If this is right

  • If the shift is real, disaster-informatics training, funding, and response frameworks should treat pandemic and health emergencies as core cases, not as exceptional add-ons.
  • If pandemic-hit countries lead the field, then future global crises can be expected to quickly redirect research capacity toward the affected regions and their specific concerns.
  • The twelve-topic structure gives a baseline against which post-2022 disaster informatics can be tracked for further topic evolution.
  • If the proposed evaluation metrics are sound, the same pipeline can be applied to comparable corpora to identify dominant topics and key collaborators in other crisis domains.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • My inference: the apparent public-health turn may be partly manufactured by the search strategy, since the broad "pandemic crisis" query and the any-one-term inclusion rule sweep in general COVID-19 research; a stricter disaster-informatics query would likely yield a smaller core and a different topic ranking.
  • My inference: a direct testable extension is to run the same pipeline on a pre-2020 disaster-informatics corpus and compare topic distributions, which would quantify the claimed priority shift rather than infer it from a pandemic-era snapshot alone.
  • My inference: the topic-significance metric favors tight, homogeneous clusters, so small clinical topics may rank above broad disaster-management themes; a prevalence-weighted or citation-weighted topic ranking would give a complementary picture.
  • My inference: if the method generalizes, it offers a rapid research-landscape assessment tool that could be deployed during the next public-health emergency to show where scientific attention is concentrating.
Share X Bluesky LinkedIn Reddit HN

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Referee Report

3 major / 6 minor

Summary. The paper presents a bibliometric and topic-modeling study of literature published from January 2020 to September 2022, claimed to represent disaster informatics after the COVID-19 pandemic. The authors collect 7,827 records from PubMed Central, Web of Science, and Scopus using the queries "disaster informatics", "pandemic crisis", and "crisis informatics"; after deduplication and filtering, they retain 5,494 papers. They apply BERTopic and three two-stage variants, evaluate them with five metrics, select the 12 topics with the highest topic-significance scores, and use GPT-3.5-turbo and Llama 2 to generate topic descriptions, with human evaluation of the summaries. They then report country-, institution-, and author-level publication counts and collaboration networks, both overall and within the 12 selected topics, and conclude that the COVID-19 pandemic shifted disaster informatics research priorities toward public health.

Significance. If the corpus actually represented disaster informatics, the paper would offer a useful descriptive landscape of the field during a critical period, and its systematic comparison of BERTopic variants plus the proposed topic-embedding-similarity metric would be a reasonable methodological contribution. The authors are transparent about their PRISMA-style workflow and provide detailed tables and figures for the bibliometric patterns. However, the central empirical claim depends entirely on the corpus being disaster informatics, and that assumption is not met: the retrieval is dominated by the phrase "pandemic crisis", the relevance filter cannot remove general COVID-19 papers, and the 12 extracted topics are standard pandemic-era themes. The paper also lacks any pre-pandemic comparator, so the headline conclusion about a shift in research priorities is not supported by the data as presented. The descriptive results may still be valid for a corpus of pandemic-era crisis-related literature, but the title and interpretations go beyond what the evidence supports.

major comments (3)
  1. [§3.2, Figure 2, §3.3, Table 4] The corpus construction does not yield disaster informatics literature. In Figure 2, the query "pandemic crisis" alone retrieved 4,644 of 4,723 PubMed records, 1,248 of 1,301 Web of Science records, and 1,688 of 1,803 Scopus records, i.e., about 96.8% of the 7,827 raw records. The relevance filter described in §3.3 keeps any document containing any of "disaster", "crisis", "pandemic", or "COVID-19"; since every record retrieved by "pandemic crisis" satisfies this condition trivially, the filter does not remove general pandemic literature. The 12 most significant topics listed in Table 4 (international trade, healthcare burnout, 3D-printed medical equipment, waste management, community pharmacy, SARS-CoV-2 genomics, nutrition and immunity, dental education, maternal health, consumer behavior, virus inactivation, contact tracing) are general COVID-19 research themes, and none of them requires an information-technology-for-disaster lens as defined in §2.1. Consequently, the bibliometric landscape and the topic-wise results describe pandemic-era literature, not disaster informatics, which undermines the abstract's headline finding and the answers to RQ1, RQ3, and RQ4.
  2. [Abstract, §5.1.3, §6] The claim that "the COVID-19 pandemic has influenced research priorities in disaster informatics, placing greater emphasis on public health" has no pre-pandemic comparator. The corpus begins in January 2020, so there is no baseline distribution of topics or publication patterns before the pandemic. A shift in research priorities can only be established by comparing the 2020–2022 corpus with a pre-2020 corpus using the same or equivalent methods; the paper provides no such comparison. Statements such as the field's "evolution from a narrow focus on natural disasters with limited consideration of public health" (§5.1.3) are asserted without longitudinal evidence and therefore are not supported by the data presented in this study.
  3. [§3.3, §6] The manual data quality assurance step is not reported in a way that addresses the selection-bias concern. The only operational criterion described for removing "irrelevant" documents is the presence of one of the four terms "disaster", "crisis", "pandemic", or "COVID-19", and no details are given about what the six annotators were instructed to consider "relevant to disaster informatics" beyond that term check. No inter-annotator agreement or annotation guideline is provided for the manual step. The limitations section acknowledges the restricted time window and LLM hallucination risks but does not acknowledge the possibility that the corpus is dominated by general pandemic literature, which is the most significant threat to the paper's central claim.
minor comments (6)
  1. [Table 3 and §4.2.2] Cohen's Kappa values of at least 0.40 are described as indicating "at least substantial agreement", but in the standard Landis and Koch interpretation, 0.40–0.60 is moderate, 0.61–0.80 is substantial, and 0.81–1.00 is almost perfect; the text should use the standard labels.
  2. [Figures 5, 6, and §4.1.2] There are repeated typographical errors in "Sapienza University" and "University" (e.g., "Sapienza Univerity of Rome", "the Univerity of São Paulo") that should be corrected throughout the text and figures.
  3. [Equation (1), §3.6.3] The perplexity formula uses notation that is unclear: N is defined as the number of words in the corpus, but the sum runs over M documents, and the term P(w_d) is not defined; the standard LDA perplexity formula refers to the probability of a held-out document's words given the model parameters, and the notation should be corrected.
  4. [§3.6.3] The Topic Embedding Similarity metric is described as cosine similarity between vector representations of topic pairs, but the text does not specify which vectors are used (e.g., average document embedding per topic, C-TF-IDF vectors, or keyword embeddings) or how the overall score is aggregated; this should be clarified for reproducibility.
  5. [§4.1] The sentence "A recent literature search showed that from September to December 2022, there were 2,920 additional publications" is unsupported; the query, databases, and date of the search are not given, so this claim cannot be verified.
  6. [Title and Abstract] The first author's ORCID in the manuscript header (0000-0001-2345-6789) is a well-known placeholder identifier rather than a real ORCID; this should be replaced with a valid identifier or removed.

Circularity Check

1 steps flagged · score 6.0 of 10

The central claim that COVID-19 shifted disaster informatics toward public health is largely pre-built into the corpus: the query term 'pandemic crisis' supplies ~97% of raw records and the relevance filter keeps every pandemic/COVID-19 document, so the observed pandemic emphasis restates the inclusion criteria.

  1. self definitional [Sections 3.2, 3.3, and 6; Figure 2]
    "We collected the literature from PubMed Central, Scopus, and WoS from January 2020 to September 2022 using three keywords: “disaster informatics”, “ pandemic crisis”, and “crisis informatics”. ... if a document does not contain one of terms like “disaster”, “crisis”, “pandemic”, or “COVID-19”, we also consider it irrelevant and remove it from the dataset. ... the COVID-19 pandemic has influenced research priorities in the field of disaster informatics, placing greater emphasis on public health."

    The corpus is defined by a query whose dominant term is 'pandemic crisis': Figure 2 shows 4,644/4,723 PubMed records, 1,248/1,301 Web of Science records, and 1,688/1,803 Scopus records were retrieved by that phrase alone. The Section 3.3 relevance filter keeps any document containing 'disaster', 'crisis', 'pandemic', or 'COVID-19', so every 'pandemic crisis' record trivially passes. The final 5,494-document corpus is therefore pandemic-heavy by construction. Running topic modeling on it and then reporting that the 12 most significant topics are COVID-19 topics, and concluding that the pandemic has shifted disaster informatics toward public health, restates the inclusion criteria rather than deriving an independent finding.

full rationale

The bibliometric rankings, collaboration networks, topic-model comparison, and LLM summarization are internally consistent and are not fitted to any external target, so those components are self-contained. The paper's self-citations ([11], [51], [59]) are used as examples of prior work or as support for data-quality principles and are not load-bearing. The one substantive circularity is the interpretive leap from a corpus selected with 'pandemic crisis' to the claim that COVID-19 changed disaster informatics research priorities: the public-health emphasis is embedded in the search and filter design, and the limitations section does not acknowledge this selection effect. The score reflects partial circularity rather than complete circularity because the landscape description and method comparison retain independent descriptive content.

Assumptions & free parameters 3 free parameters · 4 assumptions · 0 invented entities

The central claims rest on dataset relevance, topic significance as importance, annotation accuracy, and LLM summary fidelity. These are domain assumptions rather than derived facts, and several are weakly validated in the paper.

free parameters (3)
  • Minimum cluster size (n=30, m=15) = 30 and 15 documents
    Selected based on preliminary experiments (Section 3.6.2); changes the number of topics and their composition.
  • Network publication thresholds = >=20 countries, >=10 institutions, >=4 authors
    Chosen to enhance visualization clarity (Section 3.5); filters which entities appear in collaboration networks and shapes the reported patterns.
  • Top-12 topic cutoff = 12 topics
    The 12 topics with the highest significance scores were selected for analysis (Section 3.6.4); the cutoff is arbitrary and limits the scope of topic-wise bibliometrics.
assumptions (4)
  • domain assumption The search queries ('disaster informatics', 'crisis informatics', 'pandemic crisis') and the relevance filter identify the disaster informatics literature.
    Section 3.2-3.3; the broad keyword 'pandemic crisis' and minimal relevance criteria admit many general COVID-19 papers, so this assumption is fragile.
  • domain assumption Topic significance, computed as distance from a uniform word distribution, identifies the most important topics.
    Section 3.6.3; relies on [64] and the OCTIS implementation; no external validation that high significance equals domain importance.
  • domain assumption Manual annotation by six master students accurately extracts institution and country names.
    Section 3.3; annotation training and spot-checks are described, but inter-annotator reliability for this metadata extraction is not reported.
  • domain assumption LLM-generated summaries (Llama 2, GPT-3.5) accurately reflect the content of each topic's abstracts.
    Section 3.6.4; evaluated by only two human raters with moderate agreement on some topics; the authors acknowledge hallucination risk in the limitations.

how reviews work

0 comments
Cite this review

Pith. "Pith review of Disaster Informatics after the COVID-19 Pandemic: Bibliometric and Topic Analysis based on Large-scale Academic Literature." pith.science (2026). https://pith.science/paper/UIXPKFFF

@misc{pith2026250716820,
  author       = {Pith},
  title        = {Pith review of: Disaster Informatics after the COVID-19 Pandemic: Bibliometric and Topic Analysis based on Large-scale Academic Literature},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/UIXPKFFF}},
  note         = {Machine review of arXiv:2507.16820}
}
read the original abstract

This study presents a comprehensive bibliometric and topic analysis of the disaster informatics literature published between January 2020 to September 2022. Leveraging a large-scale corpus and advanced techniques such as pre-trained language models and generative AI, we identify the most active countries, institutions, authors, collaboration networks, emergent topics, patterns among the most significant topics, and shifts in research priorities spurred by the COVID-19 pandemic. Our findings highlight (1) countries that were most impacted by the COVID-19 pandemic were also among the most active, with each country having specific research interests, (2) countries and institutions within the same region or share a common language tend to collaborate, (3) top active authors tend to form close partnerships with one or two key partners, (4) authors typically specialized in one or two specific topics, while institutions had more diverse interests across several topics, and (5) the COVID-19 pandemic has influenced research priorities in disaster informatics, placing greater emphasis on public health. We further demonstrate that the field is converging on multidimensional resilience strategies and cross-sectoral data-sharing collaborations or projects, reflecting a heightened awareness of global vulnerability and interdependency. Collecting and quality assurance strategies, data analytic practices, LLM-based topic extraction and summarization approaches, and result visualization tools can be applied to comparable datasets or solve similar analytic problems. By mapping out the trends in disaster informatics, our analysis offers strategic insights for policymakers, practitioners, and scholars aiming to enhance disaster informatics capacities in an increasingly uncertain and complex risk landscape.

Figures

Figures reproduced from arXiv: 2507.16820 by the authors.

Figure 1
Figure 1. Research design. 2. Data pre-processing: We removed non-English documents, documents missing abstracts, and duplicate records. 3. Data quality assurance: To remove irrelevant data and ensure other information is correct, we invited master students in health informatics to annotate every document. A detailed guideline was developed for the annotation. This process ensured that our final dataset consisted of high-qual… view at source ↗
Figure 2
Figure 2. PRISMA flow diagram (Data collected from January 2020 to September 2022). screening. For data pre-processing, we remove 1,588 duplicates, 447 without an abstract, 292 irrelevant, four non￾English, and two retracted papers, resulting in a final dataset with 5,496 papers for bibliometrics and topic analysis. 3.3. Data Quality Assurance The “garbage in, garbage out” principle suggests that data quality is the foundatio… view at source ↗
Figure 3
Figure 3. The most active countries. 2020 to September 2022. Particularly, the U.S. leads with the highest number of publications (981). Italy follows with 534, China with 478, India with 453, and the United Kingdom (UK) with 431. The findings in our study align with previous studies that the U.S. and India were the most active countries in disaster informatics between 1960 and 2020 [1], while the U.S. and China were the most… view at source ↗
Figures from the paper (11 more)
Figure 4
Figure 4. Figure 4: Collaboration network between active countries (produced at least 20 publications). others were omitted from the network since their number of publications was less than 20. Among these countries, Brazil (85), Mexico (77), and Colombia (75) lead in international collab…
Figure 5
Figure 5. Figure 5: The top 20 institutions [PITH_FULL_IMAGE:figures/full_fig_p013_5.png]
Figure 6
Figure 6. Figure 6: Collaboration network between active institutions (produced at least 10 publications). 4.1.3. Authors The top 20 authors are shown in [PITH_FULL_IMAGE:figures/full_fig_p014_6.png]
Figure 7
Figure 7. Figure 7: Collaboration network between authors who produced at least four publications [PITH_FULL_IMAGE:figures/full_fig_p015_7.png]
Figure 8
Figure 8. Figure 8: Collaboration network between the six most active authors in disaster informatics. BERTopic by itself extracted the least number of topics (33 topics), and has the highest average coherence score, diversity score, and average topic significance, along with the lowest t…
Figure 9
Figure 9. Figure 9: The leading countries in contributing to the 12 topics. 4.4.1. The Leading Countries [PITH_FULL_IMAGE:figures/full_fig_p019_9.png]
Figure 10
Figure 10. Figure 10: Collaboration network between the most active countries across 12 topics (The color of the links corresponds to the specific topic on which the countries collaborated). India collaborated with the U.S. (5 times), the UK (6 times), Saudi Arabia (3 times), and China, It…
Figure 11
Figure 11. Figure 11: The most active institutions in contributing to the 12 topics. The Leading Institutions The 12 most active institutions are visualized in [PITH_FULL_IMAGE:figures/full_fig_p021_11.png]
Figure 12
Figure 12. Figure 12: Collaboration network between institutions and their countries (The color of the links denotes the topic that both institutions collaborated on). on multiple topics include Charis Galanakis and Turki Aldawoud (Topics 4 and 7), Adriana Schiopoiu Burlea (Topics 4 and 10…
Figure 13
Figure 13. Figure 13: The most active authors in contributing to the top 12 topics [PITH_FULL_IMAGE:figures/full_fig_p023_13.png]
Figure 14
Figure 14. Figure 14: Collaboration network between authors in the top 12 topics. Four groups of countries that frequently collaborated were identified as the English-speaking group, the European group, the Asian group, and the Latin American group. It seems that geographical proximity and…

Discussion (0). Sign in to comment.

Reference graph

Works this paper leans on

151 extracted references · 71 canonical work pages

  1. [1]

    Disaster informatics: An overview.Progress in Disaster Science, 2020

    Robert Ighodaro Ogie and Nicolas Verstaevel. Disaster informatics: An overview.Progress in Disaster Science, 2020. URL https: //api.semanticscholar.org/CorpusID:224881025. Tran et al.:Preprint submitted to Elsevier Page 28 of 35 Disaster Informatics after the COVID-19 Pandemic

    2020

  2. [2]

    Evolving disaster response practices during covid-19 pandemic

    Gerald Potutan and Masaru Arakida. Evolving disaster response practices during covid-19 pandemic. International Journal of Environmental Research and Public Health, 18(6):3137, March 2021. doi: 10.3390/ijerph18063137. URLhttps://doi.org/10.3390/ ijerph18063137

    work page doi:10.3390/ijerph18063137 2021

  3. [3]

    Information technology in emergency management of covid-19 outbreak.Informatics in Medicine Unlocked, 21:100475, January 2020

    Afsoon Asadzadeh, Saba Pakkhoo, Mahsa Mirzaei Saeidabad, Hero Khezri, and Reza Ferdousi. Information technology in emergency management of covid-19 outbreak.Informatics in Medicine Unlocked, 21:100475, January 2020. doi: 10.1016/j.imu.2020.100475. URL https://doi.org/10.1016/j.imu.2020.100475

    arXiv 2020

  4. [4]

    Wastemanagementbeyond the covid-19 pandemic: Bibliometric and text mining analyses.Gondwana Research, 114:124–137, February 2023

    MeisamRanjbari,ZahraShamsEsfandabadi,SnehaGautam,AlbertoFerraris,andSimoneDomenicoScagnelli. Wastemanagementbeyond the covid-19 pandemic: Bibliometric and text mining analyses.Gondwana Research, 114:124–137, February 2023. doi: 10.1016/j.gr.2021. 12.015. URL https://doi.org/10.1016/j.gr.2021.12.015

    work page doi:10.1016/j.gr.2021 2023

  5. [5]

    Hasan Ejaz, Hafiz Muhammad Zeeshan, Fahad Ahmad, Syed Nasir Abbas Bukhari, Naeem Anwar, Awadh Alanazi, Ashina Sadiq, Kashaf Junaid, Muhammad Atif, Khalid Omer Abdalla Abosalif, Abid Iqbal, Manhal Ahmed Hamza, and Sonia Younas. Bibliometric analysis of publications on the omicron variant from 2020 to 2022 in the scopus database using r and vosviewer.Intern...

    work page doi:10.3390/ijerph191912407 2020

  6. [6]

    Hao Tan and Yuyue Hao. Mapping the global evolution and research directions of information seeking, sharing and communication in disasters: a bibliometric study.International Journal of Environmental Research and Public Health, 19(22):14878, November 2022. doi: 10.3390/ijerph192214878. URL https://doi.org/10.3390/ijerph192214878

    work page doi:10.3390/ijerph192214878 2022

  7. [7]

    Bibliometric monitoring of research performance in ict-based disaster management literature.Quality & Quantity, 55(1):103–132, 2021

    Sahil and Sandeep Kumar Sood. Bibliometric monitoring of research performance in ict-based disaster management literature.Quality & Quantity, 55(1):103–132, 2021

    2021

  8. [8]

    Disaster and climate change resilience: A bibliometric analysis.International Journal of Disaster Risk Reduction, 50: 101839, September 2020

    Irfan Ahmad Rana. Disaster and climate change resilience: A bibliometric analysis.International Journal of Disaster Risk Reduction, 50: 101839, September 2020. doi: 10.1016/j.ijdrr.2020.101839. URLhttps://doi.org/10.1016/j.ijdrr.2020.101839

    arXiv 2020

Show all 151 references
  1. [9]

    Waleed M. Sweileh. A bibliometric analysis of health-related literature on natural disasters from 1900 to 2017.Health Research Policy and Systems, 17(1), February 2019. doi: 10.1186/s12961-019-0418-1. URLhttps://doi.org/10.1186/s12961-019-0418-1

    1900 doi

  2. [10]

    Assessing the quality of bibliographic data sources for measuring international research collaboration.Quantitative Science Studies, 3(3):529–559, 2022

    Ba Xuan Nguyen, Markus Luczak-Roesch, Jesse David Dinneen, and Vincent Larivière. Assessing the quality of bibliographic data sources for measuring international research collaboration.Quantitative Science Studies, 3(3):529–559, 2022

    2022

  3. [11]

    Demystifyingcovid-19publications:institutions,journals,concepts,andtopics

    HaihuaChen,JiangpingChen,andHuyenNguyen. Demystifyingcovid-19publications:institutions,journals,concepts,andtopics. Journal of the Medical Library Association: JMLA, 109(3):395, 2021

    2021

  4. [12]

    Acontrastivetopic-aware attentive framework with label encodings for post-disaster resource classification.Knowledge-Based Systems, page 112526, 2024

    ShahidShafiDar,MihirKanchanKarandikar,MohammadZiaUrRehman,ShubhiBansal,andNagendraKumar. Acontrastivetopic-aware attentive framework with label encodings for post-disaster resource classification.Knowledge-Based Systems, page 112526, 2024

    2024

  5. [13]

    Surveying the use of social media data and natural language processing techniques to investigate natural disasters.Natural Hazards Review, 25(4): 03124003, 2024

    Zihui Ma, Lingyao Li, Yujie Mao, Yu Wang, Olivia Grace Patsy, Michelle T Bensi, Libby Hemphill, and Gregory B Baecher. Surveying the use of social media data and natural language processing techniques to investigate natural disasters.Natural Hazards Review, 25(4): 03124003, 2024

    2024

  6. [14]

    Active learning for identifying disaster-related tweets: A comparison with keyword filtering and generic fine-tuning

    David Hanny, Sebastian Schmidt, and Bernd Resch. Active learning for identifying disaster-related tweets: A comparison with keyword filtering and generic fine-tuning. InIntelligent Systems Conference, pages 126–142. Springer, 2024

    2024

  7. [15]

    Crisis informatics.Journal of Geography & Natural Disasters, 04(01), January 2014

    Christine Hagar. Crisis informatics.Journal of Geography & Natural Disasters, 04(01), January 2014. doi: 10.4172/2167-0587.1000e115. URL https://doi.org/10.4172/2167-0587.1000e115

    2014

  8. [16]

    Reportoftheopen-endedintergovernmentalexpertworkinggrouponindicatorsandterminologyrelatingtodisaster risk reduction.United Nations General Assembly: New York, NY, USA, 41, 2016

    UNGeneralAssembly. Reportoftheopen-endedintergovernmentalexpertworkinggrouponindicatorsandterminologyrelatingtodisaster risk reduction.United Nations General Assembly: New York, NY, USA, 41, 2016

    2016

  9. [17]

    Thesoundofsilence:Exploringhowdecreasesintweetscontributetolocalcrisis identification

    RachelSamuels,JohnEricTaylor,andNedaMohammadi. Thesoundofsilence:Exploringhowdecreasesintweetscontributetolocalcrisis identification. In International Conference on Information Systems for Crisis Response and Management, pages 696 – 704, 2018. URL https://api.semanticscholar.o...

    2018

  10. [18]

    Urban crisis detection technique: A spatial and data driven approach based on latent dirichlet allocation (lda) topic modeling

    Yan Wang and John Eric Taylor. Urban crisis detection technique: A spatial and data driven approach based on latent dirichlet allocation (lda) topic modeling. InConstruction Research Congress 2018, pages 250 – 259, 2018. URLhttps://api.semanticscholar.org/ CorpusID:125816727

    2018

  11. [19]

    Codified hashtags for weather warning on twitter: an italian case study.PLoS Currents, 8, 2016

    Valentina Grasso and Alfonso Crisci. Codified hashtags for weather warning on twitter: an italian case study.PLoS Currents, 8, 2016. URL https://api.semanticscholar.org/CorpusID:27960200

    2016

  12. [20]

    Yago Martín, Zhenlong Li, and Susan L. Cutter. Leveraging twitter to gauge evacuation compliance: Spatiotemporal analysis of hurricane matthew. PLoS ONE, 12, 2017. URLhttps://api.semanticscholar.org/CorpusID:25601118

    2017

  13. [21]

    Using social media to geo-target emergency management efforts

    Bandana Kar, Edwin Chow, Nathaniel Dede-Namfo, and Xiaohui Liu. Using social media to geo-target emergency management efforts. Proceedings of the 5th ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management, 2019. URL https: //api.semanticscholar.org/Cor...

    2019

  14. [22]

    Social media in crisis management: An evaluation and analysis of crisis informaticsresearch

    Christian Reuter, Amanda Lee Hughes, and Marc-André Kaufhold. Social media in crisis management: An evaluation and analysis of crisis informaticsresearch. InternationalJournalofHuman–ComputerInteraction ,34:280–294,2018.URL https://api.semanticscholar. org/CorpusID:3899671

    2018

  15. [23]

    Christian Reuter and Marc-André Kaufhold. Fifteen years of social media in emergencies: A retrospective review and future directions for crisis informatics.Journal of Contingencies and Crisis Management, 26(1):41–57, September 2017. doi: 10.1111/1468-5973.12196. URL https://do...

    2017

  16. [24]

    URL https://api.semanticscholar.org/CorpusID:4659019

    No-SanLee,StefanHirschmeier,SvenMüller,andLarsJürgenLuz.Enablersincrisisinformationmanagement:Aliteraturereview.In Hawaii InternationalConferenceonSystemSciences ,pages274–283,2017. URL https://api.semanticscholar.org/CorpusID:4659019

    2017

  17. [25]

    Laeeq Khan, and Anabel Quan-Haase

    Aqdas Malik, M. Laeeq Khan, and Anabel Quan-Haase. Public health agencies outreach through instagram during the covid-19 pandemic: Crisis and emergency risk communication perspective.International Journal of Disaster Risk Reduction, 61:102346 – 102346, 2021. URL https://api.se...

    2021

  18. [26]

    Dealingwiththecovid-19crisis:Theoreticalapplicationofsocialmediaanalyticsingovernmentcrisis management

    Myoung-GiChonandSeonwooKim. Dealingwiththecovid-19crisis:Theoreticalapplicationofsocialmediaanalyticsingovernmentcrisis management. PublicRelationsReview ,48(3):102201,September2022. doi:10.1016/j.pubrev.2022.102201. URL https://doi.org/10. 1016/j.pubrev.2022.102201

    2022

  19. [27]

    Journalism&MassCommunicationQuarterly ,2019

    MihyeSeo.Amplifyingpanicandfacilitatingprevention:Multifacetedeffectsoftraditionalandsocialmediauseduringthe2015merscrisisin southkorea. Journalism&MassCommunicationQuarterly ,2019. URL https://api.semanticscholar.org/CorpusID:201368562

    2019

  20. [28]

    Media framing and the threat of global pandemics: The ebola crisis in uk media and policy response.Sociological Research Online, 24:73 – 92, 2018

    Elisa Pieri. Media framing and the threat of global pandemics: The ebola crisis in uk media and policy response.Sociological Research Online, 24:73 – 92, 2018. URLhttps://api.semanticscholar.org/CorpusID:150003075

    2018

  21. [29]

    Graham and Nancy J

    Barney S. Graham and Nancy J. Sullivan. Emerging viral diseases from a vaccinology perspective: preparing for the next pandemic.Nature Immunology, 19:20 – 28, 2017. URLhttps://api.semanticscholar.org/CorpusID:32384137

    2017

  22. [30]

    Anticipation and response: pandemic influenza in malawi, 2009.Global Health Action, 10, 2017

    Evanson Zondani Sambala and Lenore Manderson. Anticipation and response: pandemic influenza in malawi, 2009.Global Health Action, 10, 2017. URLhttps://api.semanticscholar.org/CorpusID:42645905

    2009

  23. [31]

    A comparative study of public health and social measures of covid-19 advocated in different countries.Health Policy, 125(8):957–971, August 2021

    Di Wang and Zhifei Mao. A comparative study of public health and social measures of covid-19 advocated in different countries.Health Policy, 125(8):957–971, August 2021. doi: 10.1016/j.healthpol.2021.05.016. URLhttps://doi.org/10.1016/j.healthpol.2021. 05.016

    2021 doi

  24. [32]

    Covid-19outbreak,herdimmunityformation,andfuturepublichealthstrategies

    YoungtaekKimandYoonHyungPark. Covid-19outbreak,herdimmunityformation,andfuturepublichealthstrategies. Epidemiologyand Health, 43:e2021071, September 2021. doi: 10.4178/epih.e2021071. URLhttps://doi.org/10.4178/epih.e2021071

    2021 doi

  25. [33]

    Attributesofnational governance for an effective response to public health emergencies: Lessons from the response to the covid-19 pandemic.Journal of Global Health, 12, July 2022

    YibeltalAssefa,SolomonWoldeyohannes,KatherineCullerton,CharlesFGilks,SimonReid,andWimVanDamme. Attributesofnational governance for an effective response to public health emergencies: Lessons from the response to the covid-19 pandemic.Journal of Global Health, 12, July 2022. do...

    2022 doi

  26. [34]

    Publichealthemergencyandcrisismanagement:casestudyofsars-cov-2 outbreak

    HeminChoi,WonhyukCho,Min-HyuKim,andJoon-YoungHur. Publichealthemergencyandcrisismanagement:casestudyofsars-cov-2 outbreak. InternationalJournalofEnvironmentalResearchandPublicHealth ,17(11):3984,June2020. doi:10.3390/ijerph17113984. URL https://doi.org/10.3390/ijerph17113984

    doi

  27. [35]

    The role of public health emergency management in biodefense: A covid-19 case study.Disaster Medicine and Public Health Preparedness, 17, May 2022

    Ryan Scott Houser. The role of public health emergency management in biodefense: A covid-19 case study.Disaster Medicine and Public Health Preparedness, 17, May 2022. doi: 10.1017/dmp.2022.113. URLhttps://doi.org/10.1017/dmp.2022.113

    2022 doi

  28. [36]

    Covid-19 pandemic: Public health risk assessment and risk mitigation strategies.Journal of Personalized Medicine, 11(12):1243, November 2021

    Dae-Young Kim, Surendra Krushna Shinde, Saifullah Lone, Ramasubba Reddy Palem, and Gajanan Sampatrao Ghodake. Covid-19 pandemic: Public health risk assessment and risk mitigation strategies.Journal of Personalized Medicine, 11(12):1243, November 2021. doi: 10.3390/jpm11121243....

    2021 doi

  29. [37]

    Emanuele Torri, Luca Gino Sbrogiò, Enrico Di Rosa, Sandro Cinquetti, Fausto Francia, and Antonio Ferro. Italian public health response to the covid-19 pandemic: Case report from the field, insights and challenges for the department of prevention.International Journal of Enviro...

    2020 doi

  30. [38]

    The bibliometric analysis of scholarly production: How great is the impact?Scientometrics, 105(3): 1809–1831, July 2015

    Ole Ellegaard and Johan A Wallin. The bibliometric analysis of scholarly production: How great is the impact?Scientometrics, 105(3): 1809–1831, July 2015. doi: 10.1007/s11192-015-1645-z. URLhttps://doi.org/10.1007/s11192-015-1645-z

    2015 doi

  31. [39]

    Climate change-induced migration: a bibliometric review.Globalization and Health, 17, 2021

    Juan Milán-García, José L Caparrós-Martínez, Nuria Rueda-López, and Jaime de Pablo Valenciano. Climate change-induced migration: a bibliometric review.Globalization and Health, 17, 2021. URLhttps://api.semanticscholar.org/CorpusID:235725557

    2021

  32. [40]

    Review on topic models integrating intra-and extra-features of scientific and technical literature.J

    H Zhang, S Xu, and XD Qiao. Review on topic models integrating intra-and extra-features of scientific and technical literature.J. China Soc. Sci. Tech. Inf, 10:1108–1120, 2014

    2014

  33. [41]

    Atopicmodelingcomparisonbetweenlda,nmf,top2vec,andbertopictodemystifytwitterposts

    RomanEggerandJoanneYu. Atopicmodelingcomparisonbetweenlda,nmf,top2vec,andbertopictodemystifytwitterposts. Frontiersin sociology, 7:886498, 2022

    2022

  34. [42]

    Latent dirichlet allocation.Journal of machine Learning research, 3(Jan):993–1022, 2003

    David M Blei, Andrew Y Ng, and Michael I Jordan. Latent dirichlet allocation.Journal of machine Learning research, 3(Jan):993–1022, 2003

    2003

  35. [43]

    Selection of the optimal number of topics for lda topic model—taking patent policy analysis as an example

    Jingxian Gan and Yong Qi. Selection of the optimal number of topics for lda topic model—taking patent policy analysis as an example. Entropy, 23(10):1301, 2021

    2021

  36. [44]

    Bertopic:Neuraltopicmodelingwithaclass-basedtf-idfprocedure,2022

    MaartenGrootendorst. Bertopic:Neuraltopicmodelingwithaclass-basedtf-idfprocedure,2022. URL https://arxiv.org/abs/2203. 05794

    2022

  37. [45]

    Top2vec: Distributed representations of topics.arXiv preprint arXiv:2008.09470, 2020

    Dimo Angelov. Top2vec: Distributed representations of topics.arXiv preprint arXiv:2008.09470, 2020

    2008 arXiv

  38. [46]

    Leveragingstate-of-the-arttopicmodelingfornewsimpactanalysisonfinancial markets: A comparative study.Electronics, 12(12), 2023

    WeisiChen,FethiRabhi,WenqiLiao,andIslamAl-Qudah. Leveragingstate-of-the-arttopicmodelingfornewsimpactanalysisonfinancial markets: A comparative study.Electronics, 12(12), 2023. ISSN 2079-9292. URLhttps://www.mdpi.com/2079-9292/12/12/2605

    2023

  39. [47]

    Keybert: Minimal keyword extraction with bert., 2020

    Maarten Grootendorst. Keybert: Minimal keyword extraction with bert., 2020. URLhttps://doi.org/10.5281/zenodo.4461265

    2020 doi

  40. [48]

    Media coverage and public perception of distance learning during the covid-19 pandemic: a topic modeling approach based on bertopic

    Gloria Hristova and Nikolay Netov. Media coverage and public perception of distance learning during the covid-19 pandemic: a topic modeling approach based on bertopic. In2022 IEEE International Conference on Big Data (Big Data), pages 2259–2264. IEEE, 2022

    2022

  41. [49]

    Gabriel Lindelöf, Talayeh Aledavood, Barbara Keller, et al. Dynamics of the negative discourse toward covid-19 vaccines: topic modeling study and an annotated data set of twitter posts.Journal of Medical Internet Research, 25(1):e41319, 2023

    2023

  42. [50]

    Unveiling the dynamics of ai applications: A review of reviews using scientometrics and bertopic modeling.Journal of Innovation & Knowledge, 9(3):100517, 2024

    Raghu Raman, Debidutta Pattnaik, Laurie Hughes, and Prema Nedungadi. Unveiling the dynamics of ai applications: A review of reviews using scientometrics and bertopic modeling.Journal of Innovation & Knowledge, 9(3):100517, 2024

    2024

  43. [51]

    Identifying interdisciplinary topics and their evolution based on bertopic

    Zhongyi Wang, Jing Chen, Jiangping Chen, and Haihua Chen. Identifying interdisciplinary topics and their evolution based on bertopic. Scientometrics, pages 1–26, 2023

    2023

  44. [52]

    Exploringtopiccoherenceovermanymodelsandmanytopics

    KeithStevens,PhilipKegelmeyer,DavidAndrzejewski,andDavidButtler. Exploringtopiccoherenceovermanymodelsandmanytopics. In Proceedingsofthe2012jointconferenceonempiricalmethodsinnaturallanguageprocessingandcomputationalnaturallanguagelearning , pages 952–961, 2012

    2012

  45. [53]

    A review of stability in topic modeling: Metrics for assessing and techniques for improving stability

    Amin Hosseiny Marani and Eric PS Baumer. A review of stability in topic modeling: Metrics for assessing and techniques for improving stability. ACM Computing Surveys, 56(5):1–32, 2023. Tran et al.:Preprint submitted to Elsevier Page 30 of 35 Disaster Informatics after the COVI...

    2023

  46. [54]

    Topicmodelinginembeddingspaces

    AdjiBDieng,FranciscoJRRuiz,andDavidMBlei. Topicmodelinginembeddingspaces. TransactionsoftheAssociationforComputational Linguistics, 8:439–453, 2020

    2020

  47. [55]

    Constrained relational topic models.Information Sciences, 512:581–594, 2020

    Silvia Terragni, Elisabetta Fersini, and Enza Messina. Constrained relational topic models.Information Sciences, 512:581–594, 2020

    2020

  48. [56]

    Topic modeling algorithms and applications: A survey

    Aly Abdelrazek, Yomna Eid, Eman Gawish, Walaa Medhat, and Ahmed Hassan. Topic modeling algorithms and applications: A survey. Information Systems, 112:102131, 2023

    2023

  49. [57]

    Qing Deng, Yang Gao, Chenyang Wang, and Hui Zhang. Detecting information requirements for crisis communication from social media data: An interactive topic modeling approach.International Journal of Disaster Risk Reduction, 50:101692, 2020

    2020

  50. [58]

    Changing the world by changing the data

    Anna Rogers. Changing the world by changing the data. In Chengqing Zong, Fei Xia, Wenjie Li, and Roberto Navigli, editors,Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Pro...

    2021 doi

  51. [59]

    Asurvey on data quality dimensionsand tools for machine learning

    Yuhan Zhou, FengjiaoTu, Kewei Sha, Junhua Ding,and Haihua Chen. Asurvey on data quality dimensionsand tools for machine learning. In 2024 IEEE International Conference on Artificial Intelligence Testing (AITest), pages 120–131. IEEE, 2024

    2024

  52. [60]

    everyonewantstodothemodel work, not the data work

    NithyaSambasivan,ShivaniKapania,HannahHighfill,DianaAkrong,PraveenParitosh,andLoraMAroyo. “everyonewantstodothemodel work, not the data work”: Data cascades in high-stakes ai. Inproceedings of the 2021 CHI Conference on Human Factors in Computing Systems, pages 1–15, 2021

    2021

  53. [61]

    Gephi: an open source software for exploring and manipulating networks

    Mathieu Bastian, Sebastien Heymann, and Mathieu Jacomy. Gephi: an open source software for exploring and manipulating networks. In Proceedings of the international AAAI conference on web and social media, volume 3, pages 361–362, 2009

    2009

  54. [62]

    Glove:Globalvectorsforwordrepresentation

    JeffreyPennington,RichardSocher,andChristopherD.Manning. Glove:Globalvectorsforwordrepresentation. In ConferenceonEmpirical Methods in Natural Language Processing, page 1532 – 1543, 2014. URLhttps://api.semanticscholar.org/CorpusID:1957433

    2014

  55. [63]

    Elliot Bolton, Abhinav Venigalla, Michihiro Yasunaga, David Hall, Betty Xiong, Tony Lee, Roxana Daneshjou, Jonathan Frankle, Percy Liang, Michael Carbin, and Christopher D. Manning. Biomedlm: A 2.7b parameter language model trained on biomedical text.ArXiv, abs/2403.18421, 202...

    2024 arXiv

  56. [64]

    Topic significance ranking of lda generative models

    Loulwah AlSumait, Daniel Barbará, James Gentle, and Carlotta Domeniconi. Topic significance ranking of lda generative models. In Proceedings of the 2009th European Conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I, ECMLPKDD’09, page 67–82, Ber...

    2009

  57. [65]

    Silvia Terragni, Elisabetta Fersini, Bruno Giovanni Galuzzi, Pietro Tropeano, and Antonio Candelieri. OCTIS: Comparing and optimizing topic models is simple! InProceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System D...

    2021

  58. [66]

    Healthbehaviourchangeduringtheukcovid-19lockdown:Findingsfromthefirstwaveofthec-19health behaviourandwell-beingdailytrackerstudy

    Felix Naughton, Emma Ward, Mizanur Khondoker, Pippa Belderson, Anne Marie Minihane, Jack Dainty, Sarah Hanson, Richard Holland, TraceyBrown,andCaitlinNotley. Healthbehaviourchangeduringtheukcovid-19lockdown:Findingsfromthefirstwaveofthec-19health behaviourandwell-beingdailytra...

    doi

  59. [67]

    Uk lockdown sends retail sales to record low, but alcohol sales rise.The Guardian, July 2020

    Phillip Inman. Uk lockdown sends retail sales to record low, but alcohol sales rise.The Guardian, July 2020. URL https://www. theguardian.com/business/2020/apr/24/uk-lockdown-sends-retail-sales-to-record-low-but-alcohol-sales-rise

    2020

  60. [68]

    Ogundijo, Ayten A

    Daniel A. Ogundijo, Ayten A. Tas, and Bukola A. Onarinde. Exploring the impact of covid-19 pandemic on eating and purchasing behaviours of people living in england.Nutrients, 13(5):1499, April 2021. doi: 10.3390/nu13051499. URL https://doi.org/10. 3390/nu13051499

    2021 doi

  61. [69]

    Changes to household food shopping practices during the covid-19 restrictions: Evidence from the east of england.Health & Place, 78:102906, September 2022

    Claire Thompson, Laura Hamilton, Angela Dickinson, Rosalind Fallaize, Elspeth Mathie, Samantha Rogers, and Wendy Wills. Changes to household food shopping practices during the covid-19 restrictions: Evidence from the east of england.Health & Place, 78:102906, September 2022. d...

    2022

  62. [70]

    An empirical study of catastrophic forgetting in large language modelsduringcontinualfine-tuning

    Yun Luo, Zhen Yang, Fandong Meng, Yafu Li, Jie Zhou, and Yue Zhang. An empirical study of catastrophic forgetting in large language modelsduringcontinualfine-tuning. ArXiv,abs/2308.08747,2023. URL https://api.semanticscholar.org/CorpusID:261031244

    2023 arXiv

  63. [71]

    Survey of hallucination in natural language generation.ACM Computing Surveys, 55:1 – 38, 2022

    Ziwei Ji, Nayeon Lee, Rita Frieske, Tiezheng Yu, Dan Su, Yan Xu, Etsuko Ishii, Yejin Bang, Delong Chen, Wenliang Dai, Andrea Madotto, and Pascale Fung. Survey of hallucination in natural language generation.ACM Computing Surveys, 55:1 – 38, 2022. URL https://api.semanticschola...

    2022

  64. [72]

    Trump’stradepolicy,brexit,coronadynamics,eucrisisanddecliningmultilateralism

    PaulJ.J.Welfens. Trump’stradepolicy,brexit,coronadynamics,eucrisisanddecliningmultilateralism. InternationalEconomicsandEco- nomicPolicy,17(3):563–634,July2020. doi:10.1007/s10368-020-00479-x. URL https://doi.org/10.1007/s10368-020-00479-x

    doi

  65. [73]

    Chad P. Bown. How covid-19 medical supply shortages led to extraordinary trade and industrial policy.Asian Economic Policy Review, 17 (1):114–135, July 2021. doi: 10.1111/aepr.12359. URLhttps://doi.org/10.1111/aepr.12359

    2021 doi

  66. [74]

    Covid-19 test-kit trade and trade policy: Implications for developing countries.World Economy, 45(10): 3246–3268, May 2022

    Long Hai Vo and Thai-Ha Le. Covid-19 test-kit trade and trade policy: Implications for developing countries.World Economy, 45(10): 3246–3268, May 2022. doi: 10.1111/twec.13276. URLhttps://doi.org/10.1111/twec.13276

    2022 doi

  67. [75]

    Cerdeiro and Andras Komaromi

    Diego A. Cerdeiro and Andras Komaromi. Supply spillovers during the pandemic: Evidence from high-frequency shipping data.World Economy, 45(11):3451–3474, June 2022. doi: 10.1111/twec.13306. URLhttps://doi.org/10.1111/twec.13306

    2022 doi

  68. [76]

    Digital-basedservicesglobalizationandmultilateraltradecooperation

    ErikVanDerMarel. Digital-basedservicesglobalizationandmultilateraltradecooperation. GlobalPolicy,12(3):392–398,May2021. doi: 10.1111/1758-5899.12941. URL https://doi.org/10.1111/1758-5899.12941

  69. [77]

    Who sends me face masks? evidence for the impacts of covid-19 on international trade in medical goods

    Kazunobu Hayakawa and Kohei Imai. Who sends me face masks? evidence for the impacts of covid-19 on international trade in medical goods. World Economy, 45(2):365–385, August 2021. doi: 10.1111/twec.13179. URLhttps://doi.org/10.1111/twec.13179

    2021 doi

  70. [78]

    Covid-19 and policy responses by international organizations: crisis of liberal international order orwindowofopportunity? GlobalPolicy,12(4):443–454,June2021

    Maria Josepha Debre and Hylke Dijkstra. Covid-19 and policy responses by international organizations: crisis of liberal international order orwindowofopportunity? GlobalPolicy,12(4):443–454,June2021. doi:10.1111/1758-5899.12975. URL https://doi.org/10.1111/ 1758-5899.12975. Tr...

  71. [79]

    The coronavirus trade-off – life vs

    Ali Zeytoon-Nejad and Tanzid Hasnain. The coronavirus trade-off – life vs. economy: Handling the trade-off rationally and optimally. Social Sciences & Humanities Open, 4(1):100215, January 2021. doi: 10.1016/j.ssaho.2021.100215. URLhttps://doi.org/10.1016/ j.ssaho.2021.100215

    2021

  72. [80]

    Alwashmi and Abdulmajeed A

    Ahmad H. Alwashmi and Abdulmajeed A. Alkhamees. Burnout and the psychological impact among physiatrists in saudi arabia during covid-19.InternationalJournalofEnvironmentalResearchandPublicHealth ,18(18):9621,September2021. doi:10.3390/ijerph18189621. URL https://doi.org/10.339...

    doi

  73. [81]

    Covid-related work changes, burnout, and turnover intentions in mental health providers:Amoderatedmediationanalysis

    Marisa Sklar, Mark G Ehrhart, and Gregory A Aarons. Covid-related work changes, burnout, and turnover intentions in mental health providers:Amoderatedmediationanalysis. PsychiatricRehabilitationJournal ,44(3):219–228,September2021. doi:10.1037/prj0000480. URL https://doi.org/1...

    doi

  74. [82]

    Burnoutdeterminantsamongnursesworkinginpalliativecareduring thecoronavirusdisease2019pandemic

    JoséVítorGonçalves,LuísaCastro,GuilherminaRêgo,andRuiNunes. Burnoutdeterminantsamongnursesworkinginpalliativecareduring thecoronavirusdisease2019pandemic. InternationalJournalofEnvironmentalResearchandPublicHealth ,18(7):3358,March2021. doi: 10.3390/ijerph18073358. URL https:/...

    doi

  75. [83]

    Burnout,stressandresilienceofanaustralianregional hospital during covid-19: a longitudinal study.BMC Health Services Research, 22(1), September 2022

    SamanthaJ.Armstrong,JoanneE.Porter,Jo-AnnLarkins,andChristopherMesagno. Burnout,stressandresilienceofanaustralianregional hospital during covid-19: a longitudinal study.BMC Health Services Research, 22(1), September 2022. doi: 10.1186/s12913-022-08409-0. URL https://doi.org/10...

    2022 doi

  76. [84]

    Emotional labor and burnout of public health nurses during the covid-19 pandemic: Mediating effects of perceived health status and perceived organizational support

    Mi-Na Kim, Yang-Sook Yoo, Ok-Hee Cho, and Kyung-Hye Hwang. Emotional labor and burnout of public health nurses during the covid-19 pandemic: Mediating effects of perceived health status and perceived organizational support. International Journal of Environmental Research and P...

    2022 doi

  77. [85]

    Theroleofresilienceinreducingburnout:Astudywithhealthcareworkersduringthecovid-19pandemic

    PedroFerreiraandSofiaGomes. Theroleofresilienceinreducingburnout:Astudywithhealthcareworkersduringthecovid-19pandemic. Social Sciences, 10(9):317, August 2021. doi: 10.3390/socsci10090317. URLhttps://doi.org/10.3390/socsci10090317

    2021 doi

  78. [86]

    NoemíSansó,LauraGaliana,AmparoOliver,MaciàTomás-Salvá,andGabrielVidal-Blanco. Predictingprofessionalqualityoflifeandlife satisfaction in spanish nurses: a cross-sectional study.International Journal of Environmental Research and Public Health, 17(12):4366, June 2020. doi: 10.3...

    2020 doi

  79. [87]

    Serena Barello, Rosario Caruso, Lorenzo Palamenghi, Tiziana Nania, Federica Dellafiore, Loris Bonetti, Andrea Silenzi, Claudia Marotta, and Guendalina Graffigna. Factors associated with emotional exhaustion in healthcare professionals involved in the covid-19 pandemic: an appl...

    2021 doi

  80. [88]

    Valerie A. Canady. Program seminar addresses workforce issues amid covid-19.Mental Health Weekly, 32(18):6–7, May 2022. doi: 10.1002/mhw.33212. URLhttps://doi.org/10.1002/mhw.33212

    2022 doi

  81. [89]

    Industrial applications of 3d printing to scale-up production of covid-19-related medical equipment.Journal of 3D Printing in Medicine, 5(2):97–110, June 2021

    Muhammad Zaheer Abbas. Industrial applications of 3d printing to scale-up production of covid-19-related medical equipment.Journal of 3D Printing in Medicine, 5(2):97–110, June 2021. doi: 10.2217/3dp-2021-0003. URLhttps://doi.org/10.2217/3dp-2021-0003

    2021 doi

  82. [90]

    The personal protective equipment fabricated via 3d printing technology during covid-19.Annals of 3D Printed Medicine, 5: 100042, March 2022

    Raj Agarwal. The personal protective equipment fabricated via 3d printing technology during covid-19.Annals of 3D Printed Medicine, 5: 100042, March 2022. doi: 10.1016/j.stlm.2021.100042. URLhttps://doi.org/10.1016/j.stlm.2021.100042

    2022

  83. [91]

    Impact of 3d printed medical equipment on the management of the covid19 pandemic.The International Journal of HealthPlanningandManagement ,35(5):1014–1022,June2020

    Soufiane Belhouideg. Impact of 3d printed medical equipment on the management of the covid19 pandemic.The International Journal of HealthPlanningandManagement ,35(5):1014–1022,June2020. doi:10.1002/hpm.3009. URL https://doi.org/10.1002/hpm.3009

    doi

  84. [92]

    Role of additive manufacturing in medical application covid-19 scenario: India case study.Journal of Manufacturing Systems, 60:811–822, July 2021

    Piyush Patel and Piyush Gohil. Role of additive manufacturing in medical application covid-19 scenario: India case study.Journal of Manufacturing Systems, 60:811–822, July 2021. doi: 10.1016/j.jmsy.2020.11.006. URLhttps://doi.org/10.1016/j.jmsy.2020. 11.006

    2021 doi

  85. [93]

    3d-printed covid-19 immunosensors with electronic readout.Chemical Engineering Journal, 425:131433, December 2021

    Jose Muñoz and Martin Pumera. 3d-printed covid-19 immunosensors with electronic readout.Chemical Engineering Journal, 425:131433, December 2021. doi: 10.1016/j.cej.2021.131433. URLhttps://doi.org/10.1016/j.cej.2021.131433

    2021

  86. [94]

    Colin Sherborne and Frederik Claeyssens. Considerations using additive manufacture of emulsion inks to produce respiratory protective filters against viral respiratory tract infections such as the covid-19 virus.International Journal of Bioprinting, 7(1):316, August 2024. doi:...

    2024 doi

  87. [95]

    A. Pais, C. Ferreira, V. Pires, V. Silva, J. Lino Alves, J. Bastos, and J. Belinha. 3d printed devices to avoid hand contact with commonly shared surfaces.International Journal on Interactive Design and Manufacturing (IJIDeM), 16(3):1187–1195, June 2022. doi: 10.1007/s12008-02...

    2022 doi

  88. [96]

    Covid-19: The use of 3d printing to address ppe shortage during a pandemic—a safety perspective

    Neelam Bharti and Shailendra Singh. Covid-19: The use of 3d printing to address ppe shortage during a pandemic—a safety perspective. ACS Chemical Health & Safety, 27(6):335–340, November 2020. doi: 10.1021/acs.chas.0c00089. URLhttps://doi.org/10.1021/ acs.chas.0c00089

    2020 doi

  89. [97]

    3d printing, intellectual property rights and medical emergencies: in search of new flexibilities.Deleted Journal, 53(8):1149–1173, September 2022

    Rosa Maria Ballardini, Marc Mimler, Timo Minssen, and Mika Salmi. 3d printing, intellectual property rights and medical emergencies: in search of new flexibilities.Deleted Journal, 53(8):1149–1173, September 2022. doi: 10.1007/s40319-022-01235-1. URL https: //doi.org/10.1007/s...

    2022 doi

  90. [98]

    Sarower Tareq, Tanzilur Rahman, Mokarram Hossain, and Peter Dorrington

    Md. Sarower Tareq, Tanzilur Rahman, Mokarram Hossain, and Peter Dorrington. Additive manufacturing and the covid-19 challenges: An in-depth study. Journal of Manufacturing Systems, 60:787–798, July 2021. doi: 10.1016/j.jmsy.2020.12.021. URLhttps://doi.org/ 10.1016/j.jmsy.2020.12.021

    2021 doi

  91. [99]

    Hamed Yazdian and Shervin Jamshidi. Performance evaluation of wastewater treatment plants under the sewage variations imposed by covid-19 spread prevention actions.Journal of Environmental Health Science and Engineering, 19(2):1613–1621, September 2021. doi: 10.1007/s40201-021...

    2021 doi

  92. [100]

    Morsy, and Ibrahim H.A

    Faisal Osra, Essam A. Morsy, and Ibrahim H.A. Abd El-Rahim. Guidance plans for solid waste management during covid-19 in makkah, saudiarabia. ArabianJournalofGeosciences ,14(15),July2021. doi:10.1007/s12517-021-07990-8. URL https://doi.org/10.1007/ s12517-021-07990-8. Tran et ...

    doi

  93. [101]

    new normal

    Fatima Haque and Chihhao Fan. Prospect of microplastic pollution control under the “new normal” concept beyond covid-19 pandemic. JournalofCleanerProduction ,367:133027,September2022. doi:10.1016/j.jclepro.2022.133027. URL https://doi.org/10.1016/j. jclepro.2022.133027

    2022

  94. [102]

    Ashish Dehal, Atul Narayan Vaidya, and Asirvatham Ramesh Kumar. Biomedical waste generation and management during covid-19 pandemic in india: challenges and possible management strategies.Environmental Science and Pollution Research, 29(10):14830–14845, October 2021. doi: 10.1...

    2021 doi

  95. [103]

    Covid-19-relatedpersonalprotectiveequipment(ppe)contamination inthehighlyurbanizedsoutheastbraziliancoast

    VictorVasquesRibeiro,GabrielE.De-La-Torre,andItaloBragaCastro. Covid-19-relatedpersonalprotectiveequipment(ppe)contamination inthehighlyurbanizedsoutheastbraziliancoast. MarinePollutionBulletin ,177:113522,April2022. doi:10.1016/j.marpolbul.2022.113522. URL https://doi.org/10....

  96. [104]

    Environmental risks of polymer materials from disposable face masks linked to the covid- 19 pandemic

    Hao Du, Shushi Huang, and Jun Wang. Environmental risks of polymer materials from disposable face masks linked to the covid- 19 pandemic. The Science of the Total Environment, 815:152980, April 2022. doi: 10.1016/j.scitotenv.2022.152980. URL https: //doi.org/10.1016/j.scitoten...

    2022

  97. [105]

    Covid-19:Howdidcommunitypharmaciesgetthroughthefirstwave? CanadianPharmacistsJournal : CPJ, 153:243 – 251, 2020

    PaulA.M.GregoryandZubinAustin. Covid-19:Howdidcommunitypharmaciesgetthroughthefirstwave? CanadianPharmacistsJournal : CPJ, 153:243 – 251, 2020. URLhttps://api.semanticscholar.org/CorpusID:221140361

    2020

  98. [106]

    Pandemic preparedness of community pharmacies for covid-19.Research in Social & Administrative Pharmacy, 17:1888 – 1896, 2020

    Mohamed Bahlol and Rebecca Susan Dewey. Pandemic preparedness of community pharmacies for covid-19.Research in Social & Administrative Pharmacy, 17:1888 – 1896, 2020. URLhttps://api.semanticscholar.org/CorpusID:218571686

    2020

  99. [107]

    Pharmaceuticalcareinhospitalizedpatients.(managementofthecovid-19pandemiccrisis

    DanielSevilla-SánchezandMontseTuset-Creus. Pharmaceuticalcareinhospitalizedpatients.(managementofthecovid-19pandemiccrisis. anewchallengeforpharmacyservices). Farmaciahospitalaria:organooficialdeexpresioncientificadelaSociedadEspanoladeFarmacia Hospitalaria, 44 7:28–31, 2020. ...

    2020

  100. [108]

    Kassem, Asser I

    Amira B. Kassem, Asser I. Ghoneim, Mohamed Ismail Nounou, and Noha A. El-Bassiouny. Community pharmacists’ needs, education, and readiness in facing covid-19: Actions & recommendations in egypt.International Journal of Clinical Practice, 75, 2021. URL https://api.semanticschol...

    2021

  101. [109]

    Chau, Heejung Bang, Lee Meyer, and Mohammed A

    Alamdar Hussain, Hung V. Chau, Heejung Bang, Lee Meyer, and Mohammed A. Islam. Performance of pharmacy students in a communications course delivered online during the covid-19 pandemic.American Journal of Pharmaceutical Education, 85, 2021. URL https://api.semanticscholar.org/...

    2021

  102. [110]

    Fuller, Seth D

    Kathryn A. Fuller, Seth D. Heldenbrand, Mary Douglass Smith, and Daniel R. Malcom. A paradigm shift in us experiential pharmacy education accelerated by the covid-19 pandemic. American Journal of Pharmaceutical Education, 84, 2020. URL https://api. semanticscholar.org/CorpusID...

    2020

  103. [111]

    Law, Marie C Scott, Yong S

    Eileen Pui Yu. Law, Marie C Scott, Yong S. K. Moon, Audrey J. Lee, Veronica T. Bandy, Andrew L. Haydon, Allen Shek, and S. Lena Kang-Birken. Adapting pharmacy experiential education during covid-19: Innovating remote preceptor resources, tools, and patient care delivery beyond...

    2021

  104. [112]

    ChiranjibChakraborty,AshishRanjanSharma,ManojitBhattacharya,BidyutMallik,ShyamSundarNandi,andSang-SooLee. Comparative genomics,evolutionaryepidemiology,andrbd-hace2receptorbindingpatterninb.1.1.7(alpha)andb.1.617.2(delta)relatedtotheirpandemic response in uk and india.Infectio...

    2022

  105. [113]

    Sars-cov-2 evolutionary adaptation toward host entry and recognition of receptor o-acetyl sialylation in virus–host interaction

    Cheorl-Ho Kim. Sars-cov-2 evolutionary adaptation toward host entry and recognition of receptor o-acetyl sialylation in virus–host interaction. InternationalJournalofMolecularSciences ,21,2020. URL https://api.semanticscholar.org/CorpusID:220284576

    2020

  106. [114]

    Omar Ashwaq, Pratibha Manickavasagam, and S. K. Manirul Haque. V483a: an emerging mutation hotspot of sars-cov-2.Future Virology,

  107. [115]

    Dj Darwin Bandoy and Bart C. Weimer. Analysis of sars-cov-2 genomic epidemiology reveals disease transmission coupled to variant emergence and allelic variation.Scientific Reports, 11, 2021. URLhttps://api.semanticscholar.org/CorpusID:232763841

    2021

  108. [116]

    A hierarchical spatio-temporal model to analyze relative risk variations of covid-19: a focus on spain, italyandgermany

    Abdollah Jalilian and Jorge Mateu. A hierarchical spatio-temporal model to analyze relative risk variations of covid-19: a focus on spain, italyandgermany. StochasticEnvironmentalResearchandRiskAssessment ,35:797–812,2020. URL https://api.semanticscholar. org/CorpusID:221995793

    2020

  109. [117]

    Exploring diet associations with covid-19 and other diseases: a network analysis–based approach

    Rashmeet Toor and Inderveer Chana. Exploring diet associations with covid-19 and other diseases: a network analysis–based approach. Medical & Biological Engineering & Computing, 60:991 – 1013, 2022. URL https://api.semanticscholar.org/CorpusID: 246865139

    2022

  110. [118]

    Nutrigenetics of antioxidant enzymes and micronutrient needs in the context of viral infections.Nutrition Research Reviews, 34: 174 – 184, 2020

    Ruth Birk. Nutrigenetics of antioxidant enzymes and micronutrient needs in the context of viral infections.Nutrition Research Reviews, 34: 174 – 184, 2020. URLhttps://api.semanticscholar.org/CorpusID:224829184

    2020

  111. [119]

    Lycopene in the prevention of cardiovascular diseases.International Journal of Molecular Sciences, 23, 2022

    Sylwia Przybylska and Grzegorz Tokarczyk. Lycopene in the prevention of cardiovascular diseases.International Journal of Molecular Sciences, 23, 2022. URLhttps://api.semanticscholar.org/CorpusID:246785428

    2022

  112. [120]

    Jhonatas Rodrigues Barbosa and Raul Nunes de Carvalho Júnior. Polysaccharides obtained from natural edible sources and their role in modulating the immune system: Biologically active potential that can be exploited against covid-19.Trends in Food Science & Technology, 108:223 ...

    2021

  113. [121]

    Bioactive compounds and bioactivities of brassica oleracea l

    Thanh Ninh Le, Chiu Hsia Chiu, and Pao-Chuan Hsieh. Bioactive compounds and bioactivities of brassica oleracea l. var. italica sprouts and microgreens: An updated overview from a nutraceutical perspective.Plants, 9, 2020. URLhttps://api.semanticscholar.org/ CorpusID:220878099

    2020

  114. [122]

    Clinical communication skills training in dental medical education: The covid-19 pandemic challenge

    Henrique Salgado and Ivone Castro-Vale. Clinical communication skills training in dental medical education: The covid-19 pandemic challenge. Healthcare, 8, 2020. URLhttps://api.semanticscholar.org/CorpusID:226057211

    2020

  115. [123]

    Marta Adam, Taja Urbancic-Rak, and Tin Crnic. Dental students’ discomfort and anxiety during the first and the second lockdown due to covid-19 pandemic at the school of dental medicine, university of zagreb.Acta Stomatologica Croatica, 55:186 – 197, 2021. URL https://api.seman...

    2021

  116. [124]

    Khawlah A Turkistani and Khadijah A Turkistani. Dental risks and precautions during covid-19 pandemic: A systematic review.Journal of InternationalSocietyofPreventive&CommunityDentistry ,10:540–548,2020.URL https://api.semanticscholar.org/CorpusID: 222126289

    2020

  117. [125]

    Dental care provision during coronavirus disease 2019 (covid-19) pandemic: The importance of continuous support for vulnerable patients.Medicina, 56, 2020

    Arkadiusz Dziedzic, Marta Tanasiewicz, and Monika Tysiąc-Miśta. Dental care provision during coronavirus disease 2019 (covid-19) pandemic: The importance of continuous support for vulnerable patients.Medicina, 56, 2020. URLhttps://api.semanticscholar. org/CorpusID:219726523

    2019

  118. [126]

    Psychological distress among ethiopian pregnant women during covid-19: Negative correlation with self-efficacy.Psychology Research and Behavior Management, 14:1001 – 1010, 2021

    Aman Dule. Psychological distress among ethiopian pregnant women during covid-19: Negative correlation with self-efficacy.Psychology Research and Behavior Management, 14:1001 – 1010, 2021. URLhttps://api.semanticscholar.org/CorpusID:235901259

    2021

  119. [127]

    Analysingtheimpactofcovid-19onthemothersofbangladesh:hearingtheunheard

    ShahMd.AzimulEhsanandFairoozJahan. Analysingtheimpactofcovid-19onthemothersofbangladesh:hearingtheunheard. Zeitschrift Fur Gesundheitswissenschaften, 30:2869 – 2882, 2020. URLhttps://api.semanticscholar.org/CorpusID:229525610

    2020

  120. [128]

    Postnataldepressionriskfactors:Anoverviewofreviewstoinformcovid-19research,clinical,andpolicy priorities

    FrancesL.DoyleandLouisKlein. Postnataldepressionriskfactors:Anoverviewofreviewstoinformcovid-19research,clinical,andpolicy priorities. Frontiers in Global Women’s Health, 1, 2020. URLhttps://api.semanticscholar.org/CorpusID:224817899

    2020

  121. [129]

    High-risk pregnant women’s experiences of the receiving prenatalcareincovid-19pandemic:aqualitativestudy

    kobra mirzakhani, Nahid Jahani Shoorab, Azam Akbari, and Talat Khadivzadeh. High-risk pregnant women’s experiences of the receiving prenatalcareincovid-19pandemic:aqualitativestudy. BMCPregnancyandChildbirth ,22,2022.URL https://api.semanticscholar. org/CorpusID:248386319

    2022

  122. [130]

    Sarah Turner, Bridget McGann, and Meredith Merilee Brockway. A review of the disruption of breastfeeding supports in response to the covid-19 pandemic in five western countries and applications for clinical practice.International Breastfeeding Journal, 17, 2022. URL https://ap...

    2022

  123. [131]

    Abortion as an essential health service in latin america during the covid-19pandemic

    Agustina Ramón Michel, Sonia Ariza Navarrete, and Susana Chávez. Abortion as an essential health service in latin america during the covid-19pandemic. FrontiersinGlobalWomen’sHealth ,3,2022. URL https://api.semanticscholar.org/CorpusID:251201494

    2022

  124. [132]

    Consumption practices during the covid-19 crisis.International Journal of Consumer Studies, 46:575 – 588, 2021

    Sianne Gordon-Wilson. Consumption practices during the covid-19 crisis.International Journal of Consumer Studies, 46:575 – 588, 2021. URL https://api.semanticscholar.org/CorpusID:235567567

    2021

  125. [133]

    Impactofcovid-19onconsumerbehavior:Willtheoldhabitsreturnordie? JournalofBusinessResearch ,117:280–283,

    JagdishN.Sheth. Impactofcovid-19onconsumerbehavior:Willtheoldhabitsreturnordie? JournalofBusinessResearch ,117:280–283,

  126. [134]

    An exploration of the substitutions of british pub consumers during the covid-19 crisis.International Journal of Hospitality Management, 96:102998 – 102998, 2021

    Sianne Gordon-Wilson. An exploration of the substitutions of british pub consumers during the covid-19 crisis.International Journal of Hospitality Management, 96:102998 – 102998, 2021. URLhttps://api.semanticscholar.org/CorpusID:236311959

    2021

  127. [135]

    Efficacy of covid-19 screening system and customer satisfaction in banks: moderating role of the perceived threat and health risk

    Hasnan Baber. Efficacy of covid-19 screening system and customer satisfaction in banks: moderating role of the perceived threat and health risk. JournalofFinancialServicesMarketing ,26:295–304,2021. URL https://api.semanticscholar.org/CorpusID:240071323

    2021

  128. [136]

    Determining the factors affecting customer satisfaction using an extraction-based feature selection approach

    Weishen Wu and Dalianus Riantama. Determining the factors affecting customer satisfaction using an extraction-based feature selection approach. PeerJ Computer Science, 8, 2022. URLhttps://api.semanticscholar.org/CorpusID:246342892

    2022

  129. [137]

    Determinants of trust in banks’ payment services during covid: An exploration using daily data.De Economist, 170:231 – 256, 2021

    Michiel Bijlsma, Carin van der Cruijsen, and Jester Koldijk. Determinants of trust in banks’ payment services during covid: An exploration using daily data.De Economist, 170:231 – 256, 2021. URLhttps://api.semanticscholar.org/CorpusID:235810381

    2021

  130. [138]

    Anti-infective dyes in the time of covid.Dyes and Pigments, 196:109813 – 109813, 2021

    Mark Wainwright. Anti-infective dyes in the time of covid.Dyes and Pigments, 196:109813 – 109813, 2021. URL https://api. semanticscholar.org/CorpusID:237549167

    2021

  131. [139]

    JoniArentzandHans-JoachimvonderHeide. Evaluationofmethylenebluebasedphotodynamicinactivation(pdi)againstintracellularb-cov andsars-cov2virusesunderdifferentlightsourcesinvitroasabasisfornewlocaltreatmentstrategiesintheearlyphaseofacovid19infection. Photodiagnosis and Photodyna...

    2021

  132. [140]

    Sustainable materials and covid-19 detection biosensor: A brief review.Sensors International, 3:100171 – 100171, 2022

    Sora Yasri and Viroj Wiwanitkit. Sustainable materials and covid-19 detection biosensor: A brief review.Sensors International, 3:100171 – 100171, 2022. URLhttps://api.semanticscholar.org/CorpusID:247295663

    2022

  133. [141]

    Yrjö H. Roos. Water and pathogenic viruses inactivation—food engineering perspectives.Food Engineering Reviews, 12:251 – 267, 2020. URL https://api.semanticscholar.org/CorpusID:219936060

    2020

  134. [142]

    Monitoringofnewcoronavirus(sars-cov-2):Origin,transmission,andfood preservationmethods

    RezaFarahmandfar,MaryamAsnaashari,andBakhtiyarHesami. Monitoringofnewcoronavirus(sars-cov-2):Origin,transmission,andfood preservationmethods. JournalofFoodProcessingandPreservation ,45,2021. URL https://api.semanticscholar.org/CorpusID: 235671440

    2021

  135. [143]

    An overview of food safety and covid-19 infection: nanotechnologyandcoldplasmaapplications,immune-boostingsuggestions,hygienicprecautions

    Zafer Ceylan, Elvan Ocak, Yılmaz Uçar, Kadir Karakus, and Turgay Çetinkaya. An overview of food safety and covid-19 infection: nanotechnologyandcoldplasmaapplications,immune-boostingsuggestions,hygienicprecautions. EnvironmentalandHealthManagement of Novel Coronavirus Disease ...

    2021

  136. [144]

    Wireless technologies for social distancing in the time of covid-19: Literature review, open issues, and limitations.Sensors (Basel, Switzerland), 22, 2022

    Sallar Salam Murad, Salman Yussof, and Rozin Badeel. Wireless technologies for social distancing in the time of covid-19: Literature review, open issues, and limitations.Sensors (Basel, Switzerland), 22, 2022. URLhttps://api.semanticscholar.org/CorpusID: 247607447

    2022

  137. [145]

    Covid-19 sentiments in smart cities: The role of technology anxiety before and during the pandemic.Computers in Human Behavior, 126:106986 – 106986, 2021

    Orlando Troisi, Giuseppe Fenza, Mara Grimaldi, and Francesca Loia. Covid-19 sentiments in smart cities: The role of technology anxiety before and during the pandemic.Computers in Human Behavior, 126:106986 – 106986, 2021. URLhttps://api.semanticscholar. org/CorpusID:237424973

    2021

  138. [146]

    Cultural influences on chinese citizens’ adoption of digital contact tracing: A human infrastruc- ture perspective

    Yaojun Lyu and John Millar Carroll. Cultural influences on chinese citizens’ adoption of digital contact tracing: A human infrastruc- ture perspective. Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, 2022. URL https://api. semanticscholar.org/Corp...

    2022

  139. [147]

    Evaluating the potential and challenges of iot in education and other sectors during the covid-19 pandemic: The case of bangladesh.Technology in Society, 68:101857 – 101857, 2022

    Nahid Sultana and Marzia Tamanna. Evaluating the potential and challenges of iot in education and other sectors during the covid-19 pandemic: The case of bangladesh.Technology in Society, 68:101857 – 101857, 2022. URLhttps://api.semanticscholar.org/ CorpusID:245908032

    2022

  140. [148]

    Blind-sided by privacy? digital contact tracing, the apple/google api and big tech’s newfound role as global health policy makers

    Tamar Sharon. Blind-sided by privacy? digital contact tracing, the apple/google api and big tech’s newfound role as global health policy makers. Ethics and Information Technology, 23:45 – 57, 2020. URLhttps://api.semanticscholar.org/CorpusID:220629084. Tran et al.:Preprint sub...

    2020

  141. [149]

    Tussyadiah

    Athina Ioannou and Iis P. Tussyadiah. Privacy and surveillance attitudes during health crises: Acceptance of surveillance and privacy protection behaviours. Technology in Society, 67:101774 – 101774, 2021. URL https://api.semanticscholar.org/CorpusID: 238478298. Tran et al.:Pr...

    2021

  142. [2020]

    URL https://api.semanticscholar.org/CorpusID:219300570

  143. [2021]

    URL https://api.semanticscholar.org/CorpusID:235671336

Pith tools

Reviewed August 6, 2026 · model on record in the stance chip above.