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10.1038/s41586-020-2293-x http://scihub22266oqcxt.onion/10.1038/s41586-020-2293-x 32365354!7116778!32365354     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Nature 2020 ; 585 (7825): 410-413 Nephropedia Template TP {{tp|p=32365354|t=2020. Effect of non-pharmaceutical interventions to contain COVID-19 in China |pdf=|usr=}}{{32365354}} gab.com Text Effect of non-pharmaceutical interventions to contain COVID-19 in China JO: Nature http://www.kidney.de/pget.php?&tw=1&pmid=32365354 #FOAvip On 11 March 2020, the World Health Organization (WHO) declared coronavirus disease 2019 (COVID-19) a pandemic(1). The strategies based on non-pharmaceutical interventions that were used to contain the outbreak in China appear to be effective(2), but quantitative research is still needed to assess the efficacy of non-pharmaceutical interventions and their timings(3). Here, using epidemiological data on COVID-19 and anonymized data on human movement(4,5), we develop a modelling framework that uses daily travel networks to simulate different outbreak and intervention scenarios across China. We estimate that there were a total of 114,325 cases of COVID-19 (interquartile range 76,776-164,576) in mainland China as of 29 February 2020. Without non-pharmaceutical interventions, we predict that the number of cases would have been 67-fold higher (interquartile range 44-94-fold) by 29 February 2020, and we find that the effectiveness of different interventions varied. We estimate that early detection and isolation of cases prevented more infections than did travel restrictions and contact reductions, but that a combination of non-pharmaceutical interventions achieved the strongest and most rapid effect. According to our model, the lifting of travel restrictions from 17 February 2020 does not lead to an increase in cases across China if social distancing interventions can be maintained, even at a limited level of an on average 25% reduction in contact between individuals that continues until late April. These findings improve our understanding of the effects of non-pharmaceutical interventions on COVID-19, and will inform response efforts across the world. Twit Text FOAVip Effect of non-pharmaceutical interventions to contain COVID-19 in China ????Nature http://www.kidney.de/pget.php?&tw=1&pmid=32365354 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32365354 #FOAvip English Wikipedia <ref>{{Cite pmid|32365354}}</ref> Effect of non-pharmaceutical interventions to contain COVID-19 in China #MMPMID32365354 Lai S; Ruktanonchai NW; Zhou L; Prosper O; Luo W; Floyd JR; Wesolowski A; Santillana M; Zhang C; Du X; Yu H; Tatem AJ Nature 2020[Sep]; 585 (7825): 410-413 PMID32365354show ga On 11 March 2020, the World Health Organization (WHO) declared coronavirus disease 2019 (COVID-19) a pandemic(1). The strategies based on non-pharmaceutical interventions that were used to contain the outbreak in China appear to be effective(2), but quantitative research is still needed to assess the efficacy of non-pharmaceutical interventions and their timings(3). Here, using epidemiological data on COVID-19 and anonymized data on human movement(4,5), we develop a modelling framework that uses daily travel networks to simulate different outbreak and intervention scenarios across China. We estimate that there were a total of 114,325 cases of COVID-19 (interquartile range 76,776-164,576) in mainland China as of 29 February 2020. Without non-pharmaceutical interventions, we predict that the number of cases would have been 67-fold higher (interquartile range 44-94-fold) by 29 February 2020, and we find that the effectiveness of different interventions varied. We estimate that early detection and isolation of cases prevented more infections than did travel restrictions and contact reductions, but that a combination of non-pharmaceutical interventions achieved the strongest and most rapid effect. According to our model, the lifting of travel restrictions from 17 February 2020 does not lead to an increase in cases across China if social distancing interventions can be maintained, even at a limited level of an on average 25% reduction in contact between individuals that continues until late April. These findings improve our understanding of the effects of non-pharmaceutical interventions on COVID-19, and will inform response efforts across the world. |*Social Isolation[MESH] |COVID-19[MESH] |China/epidemiology[MESH] |Contact Tracing/*methods[MESH] |Coronavirus Infections/*epidemiology/*prevention & control/transmission[MESH] |Hand Disinfection/*methods[MESH] |Humans[MESH] |Pandemics/*prevention & control[MESH] |Pneumonia, Viral/*epidemiology/*prevention & control/transmission[MESH] |Quarantine/*methods[MESH] |Risk Assessment[MESH] |Time Factors[MESH]Effect of non-pharmaceutical interventions to contain COVID-19 in Chin(epmc).pdf DeepDyve Pubget Overpricing