Extending the susceptible‐exposed‐infected‐removed (SEIR) model to handle the false negative rate and symptom‐based administration of COVID‐19 diagnostic tests: SEIR‐fansy

Author:

Bhaduri Ritwik1,Kundu Ritoban2,Purkayastha Soumik2,Kleinsasser Michael2,Beesley Lauren J.2ORCID,Mukherjee Bhramar23ORCID,Datta Jyotishka4ORCID

Affiliation:

1. Department of Statistics Harvard University Cambridge Massachusetts USA

2. Department of Biostatistics University of Michigan Ann Arbor Michigan United States

3. Department of Epidemiology University of Michigan Ann Arbor Michigan USA

4. Department of Statistics Virginia Polytechnic Institute and State University Blacksburg Virginia USA

Funder

Division of Cancer Prevention, National Cancer Institute

Michigan Institute for Data Science, University of Michigan

Division of Mathematical Sciences

National Human Genome Research Institute

National Science Foundation of Sri Lanka

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference40 articles.

1. Johns Hopkins University.COVID‐19 dashboard by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU); 2020.https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6. Accessed April 7 2020.

2. Diagnostic Testing for the Novel Coronavirus

3. Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases

4. COVID-19 Testing

5. Laboratory diagnosis and monitoring the viral shedding of SARS‐CoV‐2 infection;Yang Y;Innovation,2020

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