Quantifying the effect of isolation and negative certification on COVID-19 transmission.

ABSTRACT: Isolation of close contact people and negative test certification are used to manage the spread of new coronavirus infections worldwide. These effectively prevent the spread of infection in advance, but they can lead to a decline in socio-economic activity. Thus, the present study quantified the extent to which isolation and negative test certification respectively reduce the risk of infection. To this end, a discrete-time SEIR model was used as the infectious disease model, and equations for calculating the conditional probability of non-infection status given negative test results on two different days were derived. Then the respective non-infection probabilities with two negative PCR test results, and with one negative PCR test result and one antigen test result, were quantified. By sub

SUBMITTER: Takeshita JI 

PROVIDER: S-EPMC10338484 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature