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10.1038/s41597-020-0448-0 http://scihub22266oqcxt.onion/10.1038/s41597-020-0448-0 32210236!7093412!32210236     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Data 2020 ; 7 (1): 106 Nephropedia Template TP {{tp|p=32210236|t=2020. Epidemiological data from the COVID-19 outbreak, real-time case information |pdf=|usr=}}{{32210236}} gab.com Text Epidemiological data from the COVID-19 outbreak, real-time case information JO: Sci Data http://www.kidney.de/pget.php?&tw=1&pmid=32210236 #FOAvip Cases of a novel coronavirus were first reported in Wuhan, Hubei province, China, in December 2019 and have since spread across the world. Epidemiological studies have indicated human-to-human transmission in China and elsewhere. To aid the analysis and tracking of the COVID-19 epidemic we collected and curated individual-level data from national, provincial, and municipal health reports, as well as additional information from online reports. All data are geo-coded and, where available, include symptoms, key dates (date of onset, admission, and confirmation), and travel history. The generation of detailed, real-time, and robust data for emerging disease outbreaks is important and can help to generate robust evidence that will support and inform public health decision making. Twit Text FOAVip Epidemiological data from the COVID-19 outbreak, real-time case information ????Sci Data http://www.kidney.de/pget.php?&tw=1&pmid=32210236 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32210236 #FOAvip English Wikipedia <ref>{{Cite pmid|32210236}}</ref> Epidemiological data from the COVID-19 outbreak, real-time case information #MMPMID32210236 Xu B; Gutierrez B; Mekaru S; Sewalk K; Goodwin L; Loskill A; Cohn EL; Hswen Y; Hill SC; Cobo MM; Zarebski AE; Li S; Wu CH; Hulland E; Morgan JD; Wang L; O'Brien K; Scarpino SV; Brownstein JS; Pybus OG; Pigott DM; Kraemer MUG Sci Data 2020[Mar]; 7 (1): 106 PMID32210236show ga Cases of a novel coronavirus were first reported in Wuhan, Hubei province, China, in December 2019 and have since spread across the world. Epidemiological studies have indicated human-to-human transmission in China and elsewhere. To aid the analysis and tracking of the COVID-19 epidemic we collected and curated individual-level data from national, provincial, and municipal health reports, as well as additional information from online reports. All data are geo-coded and, where available, include symptoms, key dates (date of onset, admission, and confirmation), and travel history. The generation of detailed, real-time, and robust data for emerging disease outbreaks is important and can help to generate robust evidence that will support and inform public health decision making. |*Betacoronavirus[MESH] |COVID-19[MESH] |China[MESH] |Coronavirus Infections/*epidemiology/*virology[MESH] |Epidemics[MESH] |Geographic Mapping[MESH] |Geography[MESH] |Humans[MESH] |Pandemics[MESH] |Pneumonia, Viral/*epidemiology/*virology[MESH] |Public Health[MESH]Epidemiological data from the COVID-19 outbreak, real-time case inform(epmc).pdf DeepDyve Pubget Overpricing