Co-distribution of Light At Night (LAN) and COVID-19 incidence in the United States

BMC Public Health

Vincent Zhu¹  Yong Zhu¹  Yidan Meng¹ 

[1] Department of Environmental Health Sciences, Yale University School of Public Health, 06520, New Haven, CT, USA;

关键词: Light at night (LAN);    COVID-19;   

DOI  :  10.1186/s12889-021-11500-6

来源: Springer

【 摘 要 】

BackgroundLight at night (LAN) as a circadian disruption factor may affect the human immune system and consequently increase an individual’s susceptibility to the severity of infectious diseases, such as COVID-19. COVID-19 infections spread differently in each state in the United States (US). The current analysis aimed to test whether there is an association between LAN and COVID-19 cases in 4 selected US states: Connecticut, New York, California, and Texas.MethodsWe analyzed clustering patterns of COVID-19 cases in ArcMap and performed a multiple linear regression model using data of LAN and COVID-19 incidence with adjustment for confounding variables including population density, percent below poverty, and racial factors.ResultsHotspots of LAN and COVID-19 cases are located in large cities or metro-centers for all 4 states. LAN intensity is associated with cases/1 k for overall and lockdown durations in New York and Connecticut (P < 0.001), but not in Texas and California. The overall case rates are significantly associated with LAN in New York (P < 0.001) and Connecticut (P < 0.001).ConclusionsWe observed a significant positive correlation between LAN intensity and COVID-19 cases-rate/1 k, suggesting that circadian disruption of ambient light may increase the COVID-19 infection rate possibly by affecting an individual’s immune functions. Furthermore, differences in the demographic structure and lockdown policies in different states play an important role in COVID-19 infections.

【 授权许可】

CC BY