Evidence map›Paper›PMID 32897869›Full record

ArticleJournal of medical Internet research2020

Cybersecurity Risks in a Pandemic.

Christina Meilee Williams, Rahul Chaturvedi, Krishnan Chakravarthy

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. A scoping review and expert consensus on digital determinants of health.Bulletin of the World Health Organization · 2025
    Article
  5. Article
  6. Review
  7. Telehealth Technologies in Diabetes Self-management and Education.Journal of diabetes science and technology · 2024
    Review
  8. Review
  9. Article
  10. Strengthening Cybersecurity for Patient Data Protection in Europe.Journal of medical Internet research · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Christina Meilee Williams *Trinity College of Arts & Sciences, Duke University, Durham, NC, United States.ORCID 0000-0003-0215-4890
Rahul Chaturvedi *School of Medicine, University of California, San Diego, La Jolla, CA, United States.ORCID 0000-0001-6324-0771
Krishnan ChakravarthyDepartment of Anesthesiology, University of California, San Diego, La Jolla, CA, United States.ORCID 0000-0002-7994-3786

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cybersecurity threats are estimated to cost the world US $6 trillion a year by 2021, and the number of attacks has increased five-fold after COVID-19. Although there is substantial literature on the threats technological vulnerabilities have on the health care industry, less research exists on how pandemics like COVID-19 are opportunistic for cybercriminals. This paper outlines why cyberattacks have been particularly problematic during COVID-19 and ways that health care industries can better protect patient data. The Office for Civil Rights has loosened enforcement of the Health Insurance Portability and Accountability Act, which, although useful in using new platforms like Zoom, has also loosened physical and technical safeguards to cyberattacks. This is especially problematic given that 90% of health care providers had already encountered data breaches. Companies must implement well-defined software upgrade procedures, should use secure networks like virtual local area networks, and conduct regular penetration tests of their systems. By understanding factors that make individuals, health care organizations, and employers more susceptible to cyberattacks, we can better prepare for the next pandemic.

Indexed as

Delivery of Health CarePandemicsComputer SecurityCoronavirus InfectionsCOVID-19Electronic Health RecordsHumansPneumonia, ViralPrivacyCOVID-19cybersecurityhackpandemicpatient dataprivacyriskSARS-CoV-2

Identifiers

PMID32897869
PMCPMC7528623

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.