Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1001/jamanetworkopen.2020.11834 http://scihub22266oqcxt.onion/10.1001/jamanetworkopen.2020.11834 32525550!7290414!32525550     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32525550&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 263.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 263.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 263.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 263.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       JAMA+Netw+Open 2020 ; 3 (6): e2011834 Nephropedia Template TP {{tp|p=32525550|t=2020. Temperature, Humidity, and Latitude Analysis to Estimate Potential Spread and Seasonality of Coronavirus Disease 2019 (COVID-19) |pdf=|usr=}}{{32525550}} gab.com Text Temperature, Humidity, and Latitude Analysis to Estimate Potential Spread and Seasonality of Coronavirus Disease 2019 (COVID-19) JO: JAMA Netw Open http://www.kidney.de/pget.php?&tw=1&pmid=32525550 #FOAvip IMPORTANCE: Coronavirus disease 2019 (COVID-19) infection has resulted in a global crisis. Investigating the potential association of climate and seasonality with the spread of this infection could aid in preventive and surveillance strategies. OBJECTIVE: To examine the association of climate with the spread of COVID-19 infection. DESIGN, SETTING, AND PARTICIPANTS: This cohort study examined climate data from 50 cities worldwide with and without substantial community spread of COVID-19. Eight cities with substantial spread of COVID-19 (Wuhan, China; Tokyo, Japan; Daegu, South Korea; Qom, Iran; Milan, Italy; Paris, France; Seattle, US; and Madrid, Spain) were compared with 42 cities that have not been affected or did not have substantial community spread. Data were collected from January to March 10, 2020. MAIN OUTCOMES AND MEASURES: Substantial community transmission was defined as at least 10 reported deaths in a country as of March 10, 2020. Climate data (latitude, mean 2-m temperature, mean specific humidity, and mean relative humidity) were obtained from ERA-5 reanalysis. RESULTS: The 8 cities with substantial community spread as of March 10, 2020, were located on a narrow band, roughly on the 30 degrees N to 50 degrees N corridor. They had consistently similar weather patterns, consisting of mean temperatures of between 5 and 11 degrees C, combined with low specific humidity (3-6 g/kg) and low absolute humidity (4-7 g/m3). There was a lack of substantial community establishment in expected locations based on proximity. For example, while Wuhan, China (30.8 degrees N) had 3136 deaths and 80?757 cases, Moscow, Russia (56.0 degrees N), had 0 deaths and 10 cases and Hanoi, Vietnam (21.2 degrees N), had 0 deaths and 31 cases. CONCLUSIONS AND RELEVANCE: In this study, the distribution of substantial community outbreaks of COVID-19 along restricted latitude, temperature, and humidity measurements was consistent with the behavior of a seasonal respiratory virus. Using weather modeling, it may be possible to estimate the regions most likely to be at a higher risk of substantial community spread of COVID-19 in the upcoming weeks, allowing for concentration of public health efforts on surveillance and containment. Twit Text FOAVip Temperature, Humidity, and Latitude Analysis to Estimate Potential Spread and Seasonality of Coronavirus Disease 2019 (COVID-19) ????JAMA Netw Open http://www.kidney.de/pget.php?&tw=1&pmid=32525550 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32525550 #FOAvip English Wikipedia <ref>{{Cite pmid|32525550}}</ref> Temperature, Humidity, and Latitude Analysis to Estimate Potential Spread and Seasonality of Coronavirus Disease 2019 (COVID-19) #MMPMID32525550 Sajadi MM; Habibzadeh P; Vintzileos A; Shokouhi S; Miralles-Wilhelm F; Amoroso A JAMA Netw Open 2020[Jun]; 3 (6): e2011834 PMID32525550show ga IMPORTANCE: Coronavirus disease 2019 (COVID-19) infection has resulted in a global crisis. Investigating the potential association of climate and seasonality with the spread of this infection could aid in preventive and surveillance strategies. OBJECTIVE: To examine the association of climate with the spread of COVID-19 infection. DESIGN, SETTING, AND PARTICIPANTS: This cohort study examined climate data from 50 cities worldwide with and without substantial community spread of COVID-19. Eight cities with substantial spread of COVID-19 (Wuhan, China; Tokyo, Japan; Daegu, South Korea; Qom, Iran; Milan, Italy; Paris, France; Seattle, US; and Madrid, Spain) were compared with 42 cities that have not been affected or did not have substantial community spread. Data were collected from January to March 10, 2020. MAIN OUTCOMES AND MEASURES: Substantial community transmission was defined as at least 10 reported deaths in a country as of March 10, 2020. Climate data (latitude, mean 2-m temperature, mean specific humidity, and mean relative humidity) were obtained from ERA-5 reanalysis. RESULTS: The 8 cities with substantial community spread as of March 10, 2020, were located on a narrow band, roughly on the 30 degrees N to 50 degrees N corridor. They had consistently similar weather patterns, consisting of mean temperatures of between 5 and 11 degrees C, combined with low specific humidity (3-6 g/kg) and low absolute humidity (4-7 g/m3). There was a lack of substantial community establishment in expected locations based on proximity. For example, while Wuhan, China (30.8 degrees N) had 3136 deaths and 80?757 cases, Moscow, Russia (56.0 degrees N), had 0 deaths and 10 cases and Hanoi, Vietnam (21.2 degrees N), had 0 deaths and 31 cases. CONCLUSIONS AND RELEVANCE: In this study, the distribution of substantial community outbreaks of COVID-19 along restricted latitude, temperature, and humidity measurements was consistent with the behavior of a seasonal respiratory virus. Using weather modeling, it may be possible to estimate the regions most likely to be at a higher risk of substantial community spread of COVID-19 in the upcoming weeks, allowing for concentration of public health efforts on surveillance and containment. |*Betacoronavirus[MESH] |*Humidity[MESH] |*Seasons[MESH] |*Temperature[MESH] |COVID-19[MESH] |Cities/epidemiology[MESH] |Cohort Studies[MESH] |Communicable Disease Control[MESH] |Coronavirus Infections/prevention & control/*transmission/virology[MESH] |Geography, Medical[MESH] |Humans[MESH] |Pandemics/prevention & control[MESH] |Pneumonia, Viral/prevention & control/*transmission/virology[MESH]Temperature, Humidity, and Latitude Analysis to Estimate Potential Spr(epmc).pdf DeepDyve Pubget Overpricing