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.

10.1038/s41598-020-69625-4 http://scihub22266oqcxt.onion/10.1038/s41598-020-69625-4 32724218!7387552!32724218     free     free     free Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 261.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 261.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Rep 2020 ; 10 (1): 12640 Nephropedia Template TP {{tp|p=32724218|t=2020. AeDES: a next-generation monitoring and forecasting system for environmental suitability of Aedes-borne disease transmission |pdf=|usr=}}{{32724218}} gab.com Text AeDES: a next-generation monitoring and forecasting system for environmental suitability of Aedes-borne disease transmission JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=32724218 #FOAvip Aedes-borne diseases, such as dengue and chikungunya, are responsible for more than 50 million infections worldwide every year, with an overall increase of 30-fold in the last 50 years, mainly due to city population growth, more frequent travels and ecological changes. In the United States of America, the vast majority of Aedes-borne infections are imported from endemic regions by travelers, who can become new sources of mosquito infection upon their return home if the exposed population is susceptible to the disease, and if suitable environmental conditions for the mosquitoes and the virus are present. Since the susceptibility of the human population can be determined via periodic monitoring campaigns, the environmental suitability for the presence of mosquitoes and viruses becomes one of the most important pieces of information for decision makers in the health sector. We present a next-generation monitoring and forecasting system for [Formula: see text]-borne diseases' environmental suitability (AeDES) of transmission in the conterminous United States and transboundary regions, using calibrated ento-epidemiological models, climate models and temperature observations. After analyzing the seasonal predictive skill of AeDES, we briefly consider the recent Zika epidemic, and the compound effects of the current Central American dengue outbreak happening during the SARS-CoV-2 pandemic, to illustrate how a combination of tailored deterministic and probabilistic forecasts can inform key prevention and control strategies . Twit Text FOAVip AeDES: a next-generation monitoring and forecasting system for environmental suitability of Aedes-borne disease transmission ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=32724218 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32724218 #FOAvip English Wikipedia <ref>{{Cite pmid|32724218}}</ref> AeDES: a next-generation monitoring and forecasting system for environmental suitability of Aedes-borne disease transmission #MMPMID32724218 Munoz AG; Chourio X; Riviere-Cinnamond A; Diuk-Wasser MA; Kache PA; Mordecai EA; Harrington L; Thomson MC Sci Rep 2020[Jul]; 10 (1): 12640 PMID32724218show ga Aedes-borne diseases, such as dengue and chikungunya, are responsible for more than 50 million infections worldwide every year, with an overall increase of 30-fold in the last 50 years, mainly due to city population growth, more frequent travels and ecological changes. In the United States of America, the vast majority of Aedes-borne infections are imported from endemic regions by travelers, who can become new sources of mosquito infection upon their return home if the exposed population is susceptible to the disease, and if suitable environmental conditions for the mosquitoes and the virus are present. Since the susceptibility of the human population can be determined via periodic monitoring campaigns, the environmental suitability for the presence of mosquitoes and viruses becomes one of the most important pieces of information for decision makers in the health sector. We present a next-generation monitoring and forecasting system for [Formula: see text]-borne diseases' environmental suitability (AeDES) of transmission in the conterminous United States and transboundary regions, using calibrated ento-epidemiological models, climate models and temperature observations. After analyzing the seasonal predictive skill of AeDES, we briefly consider the recent Zika epidemic, and the compound effects of the current Central American dengue outbreak happening during the SARS-CoV-2 pandemic, to illustrate how a combination of tailored deterministic and probabilistic forecasts can inform key prevention and control strategies . |*Epidemiological Monitoring/veterinary[MESH] |Aedes/*virology[MESH] |Animals[MESH] |Betacoronavirus/isolation & purification[MESH] |COVID-19[MESH] |Climate[MESH] |Coronavirus Infections/pathology/transmission/virology[MESH] |Databases, Factual[MESH] |Decision Making[MESH] |Humans[MESH] |Mosquito Vectors/*virology[MESH] |Pandemics[MESH] |Pneumonia, Viral/pathology/transmission/virology[MESH] |SARS-CoV-2[MESH]AeDES: a next-generation monitoring and forecasting system for environ(epmc).pdf DeepDyve Pubget Overpricing