The impact of mortality underreporting on the association of ambient temperature and PM₁₀ with mortality risk in time series study.

ABSTRACT: Properly analyzing and reporting data remains a challenging task in epidemiologic research, as underreporting of data is often overlooked. The evaluation on the effect of underreporting remains understudied. In this study, we examined the effect of different scenarios of mortality underreporting on the relationship between PM₁₀, temperature, and mortality. Mortality data, PM₁₀, and temperature data in seven cities were obtained from Provincial Center for Disease Control and Prevention (CDC), China Meteorological Data Sharing Service System, and China National Environmental Monitoring Center, respectively. A time-series design with a distributed lag nonlinear model (DLNM) was used to examine the effects of five mortality underreporting scenarios: 1) Random underreporti

SUBMITTER: Lin Z 

PROVIDER: S-EPMC10070596 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature