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10.1038/s41467-021-22601-6 http://scihub22266oqcxt.onion/10.1038/s41467-021-22601-6 33893279!8065143!33893279     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Nat+Commun 2021 ; 12 (1): 2429 Nephropedia Template TP {{tp|p=33893279|t=2021. Estimating the effect of social inequalities on the mitigation of COVID-19 across communities in Santiago de Chile |pdf=|usr=}}{{33893279}} gab.com Text Estimating the effect of social inequalities on the mitigation of COVID-19 across communities in Santiago de Chile JO: Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=33893279 #FOAvip We study the spatio-temporal spread of SARS-CoV-2 in Santiago de Chile using anonymized mobile phone data from 1.4 million users, 22% of the whole population in the area, characterizing the effects of non-pharmaceutical interventions (NPIs) on the epidemic dynamics. We integrate these data into a mechanistic epidemic model calibrated on surveillance data. As of August 1, 2020, we estimate a detection rate of 102 cases per 1000 infections (90% CI: [95-112 per 1000]). We show that the introduction of a full lockdown on May 15, 2020, while causing a modest additional decrease in mobility and contacts with respect to previous NPIs, was decisive in bringing the epidemic under control, highlighting the importance of a timely governmental response to COVID-19 outbreaks. We find that the impact of NPIs on individuals' mobility correlates with the Human Development Index of comunas in the city. Indeed, more developed and wealthier areas became more isolated after government interventions and experienced a significantly lower burden of the pandemic. The heterogeneity of COVID-19 impact raises important issues in the implementation of NPIs and highlights the challenges that communities affected by systemic health and social inequalities face adapting their behaviors during an epidemic. Twit Text FOAVip Estimating the effect of social inequalities on the mitigation of COVID-19 across communities in Santiago de Chile ????Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=33893279 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33893279 #FOAvip English Wikipedia <ref>{{Cite pmid|33893279}}</ref> Estimating the effect of social inequalities on the mitigation of COVID-19 across communities in Santiago de Chile #MMPMID33893279 Gozzi N; Tizzoni M; Chinazzi M; Ferres L; Vespignani A; Perra N Nat Commun 2021[Apr]; 12 (1): 2429 PMID33893279show ga We study the spatio-temporal spread of SARS-CoV-2 in Santiago de Chile using anonymized mobile phone data from 1.4 million users, 22% of the whole population in the area, characterizing the effects of non-pharmaceutical interventions (NPIs) on the epidemic dynamics. We integrate these data into a mechanistic epidemic model calibrated on surveillance data. As of August 1, 2020, we estimate a detection rate of 102 cases per 1000 infections (90% CI: [95-112 per 1000]). We show that the introduction of a full lockdown on May 15, 2020, while causing a modest additional decrease in mobility and contacts with respect to previous NPIs, was decisive in bringing the epidemic under control, highlighting the importance of a timely governmental response to COVID-19 outbreaks. We find that the impact of NPIs on individuals' mobility correlates with the Human Development Index of comunas in the city. Indeed, more developed and wealthier areas became more isolated after government interventions and experienced a significantly lower burden of the pandemic. The heterogeneity of COVID-19 impact raises important issues in the implementation of NPIs and highlights the challenges that communities affected by systemic health and social inequalities face adapting their behaviors during an epidemic. |*Socioeconomic Factors[MESH] |Algorithms[MESH] |COVID-19/epidemiology/*prevention & control/virology[MESH] |Chile/epidemiology[MESH] |Communicable Disease Control/*methods/statistics & numerical data[MESH] |Disease Transmission, Infectious/prevention & control/statistics & numerical data[MESH] |Humans[MESH] |Incidence[MESH] |Models, Theoretical[MESH] |Pandemics[MESH] |SARS-CoV-2/*isolation & purification/physiology[MESH]Estimating the effect of social inequalities on the mitigation of COVI(epmc).pdf DeepDyve Pubget Overpricing