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10.1038/s41597-019-0330-0 http://scihub22266oqcxt.onion/10.1038/s41597-019-0330-0 31836720!6911100!31836720     free     free     free Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Data 2019 ; 6 (1): 318 Nephropedia Template TP {{tp|p=31836720|t=2019. A database of geopositioned Middle East Respiratory Syndrome Coronavirus occurrences |pdf=|usr=}}{{31836720}} gab.com Text A database of geopositioned Middle East Respiratory Syndrome Coronavirus occurrences JO: Sci Data http://www.kidney.de/pget.php?&tw=1&pmid=31836720 #FOAvip As a World Health Organization Research and Development Blueprint priority pathogen, there is a need to better understand the geographic distribution of Middle East Respiratory Syndrome Coronavirus (MERS-CoV) and its potential to infect mammals and humans. This database documents cases of MERS-CoV globally, with specific attention paid to zoonotic transmission. An initial literature search was conducted in PubMed, Web of Science, and Scopus; after screening articles according to the inclusion/exclusion criteria, a total of 208 sources were selected for extraction and geo-positioning. Each MERS-CoV occurrence was assigned one of the following classifications based upon published contextual information: index, unspecified, secondary, mammal, environmental, or imported. In total, this database is comprised of 861 unique geo-positioned MERS-CoV occurrences. The purpose of this article is to share a collated MERS-CoV database and extraction protocol that can be utilized in future mapping efforts for both MERS-CoV and other infectious diseases. More broadly, it may also provide useful data for the development of targeted MERS-CoV surveillance, which would prove invaluable in preventing future zoonotic spillover. Twit Text FOAVip A database of geopositioned Middle East Respiratory Syndrome Coronavirus occurrences ????Sci Data http://www.kidney.de/pget.php?&tw=1&pmid=31836720 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=31836720 #FOAvip English Wikipedia <ref>{{Cite pmid|31836720}}</ref> A database of geopositioned Middle East Respiratory Syndrome Coronavirus occurrences #MMPMID31836720 Ramshaw RE; Letourneau ID; Hong AY; Hon J; Morgan JD; Osborne JCP; Shirude S; Van Kerkhove MD; Hay SI; Pigott DM Sci Data 2019[Dec]; 6 (1): 318 PMID31836720show ga As a World Health Organization Research and Development Blueprint priority pathogen, there is a need to better understand the geographic distribution of Middle East Respiratory Syndrome Coronavirus (MERS-CoV) and its potential to infect mammals and humans. This database documents cases of MERS-CoV globally, with specific attention paid to zoonotic transmission. An initial literature search was conducted in PubMed, Web of Science, and Scopus; after screening articles according to the inclusion/exclusion criteria, a total of 208 sources were selected for extraction and geo-positioning. Each MERS-CoV occurrence was assigned one of the following classifications based upon published contextual information: index, unspecified, secondary, mammal, environmental, or imported. In total, this database is comprised of 861 unique geo-positioned MERS-CoV occurrences. The purpose of this article is to share a collated MERS-CoV database and extraction protocol that can be utilized in future mapping efforts for both MERS-CoV and other infectious diseases. More broadly, it may also provide useful data for the development of targeted MERS-CoV surveillance, which would prove invaluable in preventing future zoonotic spillover. |*Databases, Factual[MESH] |*Disease Outbreaks[MESH] |Coronavirus Infections/*epidemiology[MESH] |Geography[MESH] |Humans[MESH]A database of geopositioned Middle East Respiratory Syndrome Coronavir(epmc).pdf DeepDyve Pubget Overpricing