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10.1038/s41467-020-18783-0 http://scihub22266oqcxt.onion/10.1038/s41467-020-18783-0 33024096!7538915!33024096     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       Nat+Commun 2020 ; 11 (1): 5012 Nephropedia Template TP {{tp|p=33024096|t=2020. Changing travel patterns in China during the early stages of the COVID-19 pandemic |pdf=|usr=}}{{33024096}} gab.com Text Changing travel patterns in China during the early stages of the COVID-19 pandemic JO: Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=33024096 #FOAvip Understanding changes in human mobility in the early stages of the COVID-19 pandemic is crucial for assessing the impacts of travel restrictions designed to reduce disease spread. Here, relying on data from mainland China, we investigate the spatio-temporal characteristics of human mobility between 1st January and 1st March 2020, and discuss their public health implications. An outbound travel surge from Wuhan before travel restrictions were implemented was also observed across China due to the Lunar New Year, indicating that holiday travel may have played a larger role in mobility changes compared to impending travel restrictions. Holiday travel also shifted healthcare pressure related to COVID-19 towards locations with lower healthcare capacity. Network analyses showed no sign of major changes in the transportation network after Lunar New Year. Changes observed were temporary and did not lead to structural reorganisation of the transportation network during the study period. Twit Text FOAVip Changing travel patterns in China during the early stages of the COVID-19 pandemic ????Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=33024096 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33024096 #FOAvip English Wikipedia <ref>{{Cite pmid|33024096}}</ref> Changing travel patterns in China during the early stages of the COVID-19 pandemic #MMPMID33024096 Gibbs H; Liu Y; Pearson CAB; Jarvis CI; Grundy C; Quilty BJ; Diamond C; Eggo RM Nat Commun 2020[Oct]; 11 (1): 5012 PMID33024096show ga Understanding changes in human mobility in the early stages of the COVID-19 pandemic is crucial for assessing the impacts of travel restrictions designed to reduce disease spread. Here, relying on data from mainland China, we investigate the spatio-temporal characteristics of human mobility between 1st January and 1st March 2020, and discuss their public health implications. An outbound travel surge from Wuhan before travel restrictions were implemented was also observed across China due to the Lunar New Year, indicating that holiday travel may have played a larger role in mobility changes compared to impending travel restrictions. Holiday travel also shifted healthcare pressure related to COVID-19 towards locations with lower healthcare capacity. Network analyses showed no sign of major changes in the transportation network after Lunar New Year. Changes observed were temporary and did not lead to structural reorganisation of the transportation network during the study period. |*Pandemics[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |China/epidemiology[MESH] |Coronavirus Infections/*epidemiology[MESH] |Delivery of Health Care[MESH] |Holidays[MESH] |Humans[MESH] |Pneumonia, Viral/*epidemiology[MESH] |Population Density[MESH] |Public Health[MESH] |SARS-CoV-2[MESH] |Time Factors[MESH] |Transportation[MESH]Changing travel patterns in China during the early stages of the COVID(epmc).pdf DeepDyve Pubget Overpricing