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10.1097/EDE.0000000000001251

http://scihub22266oqcxt.onion/10.1097/EDE.0000000000001251
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32841988!7523580!32841988
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suck abstract from ncbi


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pmid32841988      Epidemiology 2020 ; 31 (6): 836-843
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  • A Test-Negative Design with Additional Population Controls Can Be Used to Rapidly Study Causes of the SARS-CoV-2 Epidemic #MMPMID32841988
  • Vandenbroucke JP; Brickley EB; Vandenbroucke-Grauls CMJE; Pearce N
  • Epidemiology 2020[Nov]; 31 (6): 836-843 PMID32841988show ga
  • Testing of symptomatic persons for infection with severe acute respiratory syndrome coronavirus-2 is occurring worldwide. We propose two types of case-control studies that can be carried out jointly in test settings for symptomatic persons. The first, the test-negative case-control design (TND) is the easiest to implement; it only requires collecting information about potential risk factors for Coronavirus Disease 2019 (COVID-19) from the tested symptomatic persons. The second, standard case-control studies with population controls, requires the collection of data on one or more population controls for each person who is tested in the test facilities, so that test-positives and test-negatives can each be compared with population controls. The TND will detect differences in risk factors between symptomatic persons who have COVID-19 (test-positives) and those who have other respiratory infections (test-negatives). However, risk factors with effect sizes of equal magnitude for both COVID-19 and other respiratory infections will not be identified by the TND. Therefore, we discuss how to add population controls to compare with the test-positives and the test-negatives, yielding two additional case-control studies. We describe two options for population control groups: one composed of accompanying persons to the test facilities, the other drawn from existing country-wide healthcare databases. We also describe other possibilities for population controls. Combining the TND with population controls yields a triangulation approach that distinguishes between exposures that are risk factors for both COVID-19 and other respiratory infections, and exposures that are risk factors for just COVID-19. This combined design can be applied to future epidemics, but also to study causes of nonepidemic disease.
  • |*Case-Control Studies[MESH]
  • |*Control Groups[MESH]
  • |*Epidemiologic Research Design[MESH]
  • |Betacoronavirus[MESH]
  • |COVID-19[MESH]
  • |COVID-19 Testing[MESH]
  • |Causality[MESH]
  • |Clinical Laboratory Techniques[MESH]
  • |Coronavirus Infections/diagnosis/*epidemiology[MESH]
  • |Humans[MESH]
  • |Pandemics[MESH]
  • |Pneumonia, Viral/diagnosis/*epidemiology[MESH]
  • |Respiratory Tract Infections/epidemiology[MESH]
  • |Risk Factors[MESH]


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