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10.1371/journal.pntd.0006604 http://scihub22266oqcxt.onion/10.1371/journal.pntd.0006604 C6039051!6039051!29949572     free     free     free 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 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 251.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       PLoS+Negl+Trop+Dis 2018 ; 12 (6): ä Nephropedia Template TP {{tp|p=29949572|t=2018. Meteorological factors and risk of hemorrhagic fever with renal syndrome in Guangzhou, southern China, 2006?2015 |pdf=|usr=}}{{29949572}} gab.com Text Meteorological factors and risk of hemorrhagic fever with renal syndrome in Guangzhou, southern China, 2006 2015 JO: PLoS Negl Trop Dis http://www.kidney.de/pget.php?&tw=1&pmid=29949572 #FOAvip Background: The epidemic tendency of hemorrhagic fever with renal syndrome (HFRS) is on the rise in recent years in Guangzhou. This study aimed to explore the associations between meteorological factors and HFRS epidemic risk in Guangzhou for the period from 2006?2015. Methods: We obtained data of HFRS cases in Guangzhou from the National Notifiable Disease Report System (NNDRS) during the period of 2006?2015. Meteorological data were obtained from the Guangzhou Meteorological Bureau. A negative binomial multivariable regression was used to explore the relationship between meteorological variables and HFRS. Results: The annual average incidence was 0.92 per 100000, with the annual incidence ranging from 0.64/100000 in 2009 to 1.05/100000 in 2012. The monthly number of HFRS cases decreased by 5.543% (95%CI -5.564% to -5.523%) each time the temperature was increased by 1°C and the number of cases decreased by 0.075% (95%CI -0.076% to -0.074%) each time the aggregate rainfall was increased by 1 mm. We found that average temperature with a one-month lag was significantly associated with HFRS transmission. Conclusions: Meteorological factors had significant association with occurrence of HFRS in Guangzhou, Southern China. This study provides preliminary information for further studies on epidemiological prediction of HFRS and for developing an early warning system. Twit Text FOAVip Meteorological factors and risk of hemorrhagic fever with renal syndrome in Guangzhou, southern China, 2006 2015 ????PLoS Negl Trop Dis http://www.kidney.de/pget.php?&tw=1&pmid=29949572 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=29949572 #FOAvip English Wikipedia <ref>{{Cite pmid|29949572}}</ref> Meteorological factors and risk of hemorrhagic fever with renal syndrome in Guangzhou, southern China, 2006?2015 #MMPMID29949572 Wei Y; Wang Y; Li X; Qin P; Lu Y; Xu J; Chen S; Li M; Yang Z PLoS Negl Trop Dis 2018[Jun]; 12 (6): ä PMID29949572show ga Background: The epidemic tendency of hemorrhagic fever with renal syndrome (HFRS) is on the rise in recent years in Guangzhou. This study aimed to explore the associations between meteorological factors and HFRS epidemic risk in Guangzhou for the period from 2006?2015. Methods: We obtained data of HFRS cases in Guangzhou from the National Notifiable Disease Report System (NNDRS) during the period of 2006?2015. Meteorological data were obtained from the Guangzhou Meteorological Bureau. A negative binomial multivariable regression was used to explore the relationship between meteorological variables and HFRS. Results: The annual average incidence was 0.92 per 100000, with the annual incidence ranging from 0.64/100000 in 2009 to 1.05/100000 in 2012. The monthly number of HFRS cases decreased by 5.543% (95%CI -5.564% to -5.523%) each time the temperature was increased by 1°C and the number of cases decreased by 0.075% (95%CI -0.076% to -0.074%) each time the aggregate rainfall was increased by 1 mm. We found that average temperature with a one-month lag was significantly associated with HFRS transmission. Conclusions: Meteorological factors had significant association with occurrence of HFRS in Guangzhou, Southern China. This study provides preliminary information for further studies on epidemiological prediction of HFRS and for developing an early warning system. äMeteorological factors and risk of hemorrhagic fever with renal syndro(epmc).pdf DeepDyve Pubget Overpricing