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10.1186/s12889-021-11500-6 http://scihub22266oqcxt.onion/10.1186/s12889-021-11500-6 34348695!8335974!34348695     free     free     free Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       BMC+Public+Health 2021 ; 21 (1): 1509 Nephropedia Template TP {{tp|p=34348695|t=2021. Co-distribution of Light At Night (LAN) and COVID-19 incidence in the United States |pdf=|usr=}}{{34348695}} gab.com Text Co-distribution of Light At Night (LAN) and COVID-19 incidence in the United States JO: BMC Public Health http://www.kidney.de/pget.php?&tw=1&pmid=34348695 #FOAvip BACKGROUND: Light 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. METHODS: We 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. RESULTS: Hotspots 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). CONCLUSIONS: We 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. Twit Text FOAVip Co-distribution of Light At Night (LAN) and COVID-19 incidence in the United States ????BMC Public Health http://www.kidney.de/pget.php?&tw=1&pmid=34348695 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34348695 #FOAvip English Wikipedia <ref>{{Cite pmid|34348695}}</ref> Co-distribution of Light At Night (LAN) and COVID-19 incidence in the United States #MMPMID34348695 Meng Y; Zhu V; Zhu Y BMC Public Health 2021[Aug]; 21 (1): 1509 PMID34348695show ga BACKGROUND: Light 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. METHODS: We 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. RESULTS: Hotspots 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). CONCLUSIONS: We 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. |*COVID-19[MESH] |Circadian Rhythm[MESH] |Communicable Disease Control[MESH] |Connecticut/epidemiology[MESH] |Humans[MESH] |Incidence[MESH] |SARS-CoV-2[MESH]Co-distribution of Light At Night (LAN) and COVID-19 incidence in the (epmc).pdf DeepDyve Pubget Overpricing