id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-265078-u19e9j2w	Xie, Jingui	Association between ambient temperature and COVID-19 infection in 122 cities from China	2020-07-01		.txt	text/plain	2800	180	56	A generalized additive model (GAM) was applied to explore the nonlinear relationship between mean temperature and COVID-19 confirmed cases. RESULTS: The exposure-response curves suggested that the relationship between mean temperature and COVID-19 confirmed cases was approximately linear in the range of <3 °C and became flat above 3 °C. To provide useful implications for policymakers and the public, our paper aimed to investigate the relationship between daily mean temperature and newly confirmed COVID-19 cases in 122 cities from China. Therefore, in this study, a GAM with a Gaussian distribution family (Hastie, 2017; Liu et al., 2020) was applied to examine the moving average lag effect (lag0-7, lag0-14, lag0-21) of mean temperature on daily confirmed cases of COVID-19. In this paper, we explored the nonlinear relationship between ambient temperature and COVID-19 confirmed cases by using a generalized additive model.	./cache/cord-265078-u19e9j2w.txt	./txt/cord-265078-u19e9j2w.txt