id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-311082-sspcz9t6	Chen, Shi	Four Challenges Associated With Current Mathematical Modeling Paradigm of Infectious Diseases and Call for a Shift	2020-08-07		.txt	text/plain	1525	80	37	We identified 4 major challenges associated with the current modeling paradigm (SEIR) that hinder the efforts to accurately characterize the emerging COVID-19 and future epidemics. These challenges included (1) lack of consistent definition of "case"; (2) discrepancy between patient-level clinical insights and population-level modeling efforts; (3) lack of adequate inclusion of individual behavioral and social influence; and (4) allowing little flexibility of including new evidence and insights when our knowledge evolved rapidly during the pandemic. Researchers, clinicians, and public health officials rely on mathematical models to characterize and predict the COVID-19 epidemic, derive critical epidemiological metrics (eg, the basic reproduction number R 0 ), evaluate various intervention strategies, and optimize resource needs [2] . The SEIR modeling paradigm is less practical to handle the complicated clinical, public health, and social system of the COVID-19 pandemic.	./cache/cord-311082-sspcz9t6.txt	./txt/cord-311082-sspcz9t6.txt