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.

suck abstract from ncbi


10.1111/tbed.13631

http://scihub22266oqcxt.onion/10.1111/tbed.13631
suck pdf from google scholar
32438520!7280716!32438520
unlimited free pdf from europmc32438520    free
PDF from PMC    free
html from PMC    free

suck abstract from ncbi


Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
pmid32438520      Transbound+Emerg+Dis 2020 ; 67 (6): 2313-2317
Nephropedia Template TP

gab.com Text

Twit Text FOAVip

Twit Text #

English Wikipedia


  • The role of climate during the COVID-19 epidemic in New South Wales, Australia #MMPMID32438520
  • Ward MP; Xiao S; Zhang Z
  • Transbound Emerg Dis 2020[Nov]; 67 (6): 2313-2317 PMID32438520show ga
  • Previous research has identified a relationship between climate and occurrence of SARS-CoV and MERS-CoV cases, information that can be used to reduce the risk of infection. Using COVID-19 notification and postcode data from New South Wales, Australia during the exponential phase of the epidemic in 2020, we used time series analysis to investigate the relationship between 749 cases of locally acquired COVID-19 and daily rainfall, 9 a.m. and 3 p.m. temperature, and 9 a.m. and 3 p.m. relative humidity. Lower 9 a.m. relative humidity (but not rainfall or temperature) was associated with increased case occurrence; a reduction in relative humidity of 1% was predicted to be associated with an increase of COVID-19 cases by 6.11%. During periods of low relative humidity, the public health system should anticipate an increased number of COVID-19 cases.
  • |*Humidity[MESH]
  • |*Temperature[MESH]
  • |COVID-19/*epidemiology/virology[MESH]
  • |Climate[MESH]
  • |Disease Notification/*statistics & numerical data[MESH]
  • |Epidemics/*statistics & numerical data[MESH]
  • |Humans[MESH]
  • |New South Wales/epidemiology[MESH]


  • DeepDyve
  • Pubget Overpricing
  • suck abstract from ncbi

    Linkout box