Negative-Binomial and quasi-poisson regressions between COVID-19, mobility and environment in Sao Paulo, Brazil.

ABSTRACT: Brazil, the country most impacted by the coronavirus disease 2019 (COVID-19) on the southern hemisphere, use intensive care admissions per day, mobility and other indices to monitor quarantines and prevent the transmissions of SARS-CoV-2. In this study we quantified the associations between residential mobility index (RMI), air pollution, meteorology, and daily cases and deaths of COVID-19 in São Paulo, Brazil. We applied a semiparametric generalized additive model (GAM) to estimate: 1) the association between RMI and COVID-19, accounting for ambient particulate matter (PM_2.5), ozone (O₃), relative humidity, temperature and delayed exposure between 4 and 21 days, and 2) the association between COVID-19 and exposure to for ambient particulate matter (PM_2.5),

SUBMITTER: Ibarra-Espinosa S 

PROVIDER: S-EPMC8577054 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature