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Accepted for/Published in: JMIRx Med

Date Submitted: Aug 27, 2020
Date Accepted: Dec 24, 2020
Date Submitted to PubMed: Aug 4, 2023

The final, peer-reviewed published version of this preprint can be found here:

Evaluating Population Density as a Parameter for Optimizing COVID-19 Testing: Statistical Analysis

Budhwani KI, Budhwani H, Podbielski B

Evaluating Population Density as a Parameter for Optimizing COVID-19 Testing: Statistical Analysis

JMIRx Med 2021;2(1):e22195

DOI: 10.2196/22195

PMID: 33725028

PMCID: 7924706

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

COVID-19: Saving lives and livelihoods using population density driven testing

  • Karim I Budhwani; 
  • Henna Budhwani; 
  • Ben Podbielski

ABSTRACT

SARS-CoV-2 transmission risk generally increases with proximity of those shedding the virus to those susceptible to infection. Thus, this risk is a function of both number of people and the area which they occupy. However, the latter continues to evade COVID-19 testing policy. Increased testing in areas with lower population density, has the potential to induce a false sense of security even as cases continue to rise sharply overall.


 Citation

Please cite as:

Budhwani KI, Budhwani H, Podbielski B

Evaluating Population Density as a Parameter for Optimizing COVID-19 Testing: Statistical Analysis

JMIRx Med 2021;2(1):e22195

DOI: 10.2196/22195

PMID: 33725028

PMCID: 7924706

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