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10.1515/jbcpp-2021-0007 http://scihub22266oqcxt.onion/10.1515/jbcpp-2021-0007 34018379!ä!34018379 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Basic+Clin+Physiol+Pharmacol 2021 ; 32 (5): 935-942 Nephropedia Template TP {{tp|p=34018379|t=2021. Environmental and climatic impact on the infection and mortality of SARS-CoV-2 in Peru |pdf=|usr=}}{{34018379}} gab.com Text Environmental and climatic impact on the infection and mortality of SARS-CoV-2 in Peru JO: J Basic Clin Physiol Pharmacol http://www.kidney.de/pget.php?&tw=1&pmid=34018379 #FOAvip OBJECTIVES: The role of the environment and climate in the transmission and case fatality rates of SARS-CoV-2 is still being investigated a year into the pandemic. Elevation and air quality are believed to be significant factors in the development of the pandemic, but the influence of additional environmental factors remains unclear. METHODS: We explored the relationship between the cumulative number of infections and mortality cases with climate (temperature, precipitation, solar radiation, water vapor pressure, wind), environmental data (elevation, normalized difference vegetation index or NDVI, particulate matter at 2.5 mum or PM(2.5) and NO(2) concentration), and population density in Peru. We use confirmed cases of infection from 1,287 districts and mortality in 479 districts, we used Spearman's correlations to assess the bivariate correlation between environmental and climatic factors with cumulative infection cases, cumulative mortality and case-fatality rate. We explored district cases within the ecozones of coast, sierra, high montane forest and lowland rainforest. RESULTS: Multiple linear regression models indicate elevation, mean solar radiation, air quality, population density and green vegetation cover, as a socioeconomic proxy, are influential factors in the distribution of infection and mortality of SARS-CoV-2 in Peru. Case-fatality rate was weakly associated with elevation. CONCLUSIONS: Our results also strongly suggest that exposure to poor air quality is a significant factor in the mortality of individuals below the age of 30. We conclude that environmental and climatic factors do play a significant role in the transmission and case fatality rates in Peru, however further study is required to see if these relationships are maintained over time. Twit Text FOAVip Environmental and climatic impact on the infection and mortality of SARS-CoV-2 in Peru ????J Basic Clin Physiol Pharmacol http://www.kidney.de/pget.php?&tw=1&pmid=34018379 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34018379 #FOAvip English Wikipedia <ref>{{Cite pmid|34018379}}</ref> Environmental and climatic impact on the infection and mortality of SARS-CoV-2 in Peru #MMPMID34018379 Samillan VJ; Flores-Leon D; Rojas E; Zutta BR J Basic Clin Physiol Pharmacol 2021[May]; 32 (5): 935-942 PMID34018379show ga OBJECTIVES: The role of the environment and climate in the transmission and case fatality rates of SARS-CoV-2 is still being investigated a year into the pandemic. Elevation and air quality are believed to be significant factors in the development of the pandemic, but the influence of additional environmental factors remains unclear. METHODS: We explored the relationship between the cumulative number of infections and mortality cases with climate (temperature, precipitation, solar radiation, water vapor pressure, wind), environmental data (elevation, normalized difference vegetation index or NDVI, particulate matter at 2.5 mum or PM(2.5) and NO(2) concentration), and population density in Peru. We use confirmed cases of infection from 1,287 districts and mortality in 479 districts, we used Spearman's correlations to assess the bivariate correlation between environmental and climatic factors with cumulative infection cases, cumulative mortality and case-fatality rate. We explored district cases within the ecozones of coast, sierra, high montane forest and lowland rainforest. RESULTS: Multiple linear regression models indicate elevation, mean solar radiation, air quality, population density and green vegetation cover, as a socioeconomic proxy, are influential factors in the distribution of infection and mortality of SARS-CoV-2 in Peru. Case-fatality rate was weakly associated with elevation. CONCLUSIONS: Our results also strongly suggest that exposure to poor air quality is a significant factor in the mortality of individuals below the age of 30. We conclude that environmental and climatic factors do play a significant role in the transmission and case fatality rates in Peru, however further study is required to see if these relationships are maintained over time. |*Environment[MESH] |Air Pollution[MESH] |COVID-19/*epidemiology/mortality/transmission[MESH] |Climate[MESH] |Humans[MESH] |Linear Models[MESH] |Peru/epidemiology[MESH] |SARS-CoV-2[MESH] |Socioeconomic Factors[MESH]Environmental and climatic impact on the infection and mortality of SA(epmc).pdf DeepDyve Pubget Overpricing