Sun, FeinuoFeinuoSunMatthews, Stephen AStephen AMatthewsYang, Tse-ChuanTse-ChuanYangMING-HSIAO HU2021-08-102021-08-10202010472797https://scholars.lib.ntu.edu.tw/handle/123456789/577423This study aims to understand how spatial structures, the interconnections between counties, matter in understanding the coronavirus disease 2019 (COVID-19) period prevalence across the United States.enCOVID-19; Geographic disparities; Spatial analysis[SDGs]SDG3[SDGs]SDG8Article; coronavirus disease 2019; demography; descriptive research; ethnicity; human; life expectancy; medical geography; medically uninsured; prevalence; priority journal; seashore; socioeconomics; spatial analysis; spatiotemporal analysis; unemployment; United States; adult; aged; Coronavirus infection; female; geographic mapping; government; male; middle aged; pandemic; prevalence; spatial analysis; very elderly; virus pneumonia; young adult; Adult; Aged; Aged, 80 and over; Coronavirus Infections; COVID-19; Female; Geographic Mapping; Humans; Local Government; Male; Middle Aged; Pandemics; Pneumonia, Viral; Prevalence; Socioeconomic Factors; Spatial Analysis; United States; Young Adultjournal article10.1016/j.annepidem.2020.07.014327360592-s2.0-85089742049https://api.elsevier.com/content/abstract/scopus_id/85089742049