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10.1371/journal.pone.0250707 http://scihub22266oqcxt.onion/10.1371/journal.pone.0250707 33956827!8101927!33956827     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 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       PLoS+One 2021 ; 16 (5): e0250707 Nephropedia Template TP {{tp|p=33956827|t=2021. COVID-19 incidence and mortality in the Metropolitan Region, Chile: Time, space, and structural factors |pdf=|usr=}}{{33956827}} gab.com Text COVID-19 incidence and mortality in the Metropolitan Region, Chile: Time, space, and structural factors JO: PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=33956827 #FOAvip Demographic, health, and socioeconomic factors significantly inform COVID-19 outcomes. This article analyzes the association of these factors and outcomes in Chile during the first five months of the pandemic. Using the municipalities Metropolitan Region's municipalities as the unit of analysis, the study looks at the role of time dynamics, space, and place in cases and deaths over a 100-day period between March and July 2020. As a result, common and idiosyncratic elements explain the prevalence and dynamics of infections and mortality. Social determinants of health, particularly multidimensional poverty index and use of public transportation play an important role in explaining differences in outcomes. The article contributes to the understanding of the determinants of COVID-19 highlighting the need to consider time-space dynamics and social determinants as key in the analysis. Structural factors are important to identify at-risk populations and to select policy strategies to prevent and mitigate the effects of COVID-19. The results are especially relevant for similar research in unequal settings. Twit Text FOAVip COVID-19 incidence and mortality in the Metropolitan Region, Chile: Time, space, and structural factors ????PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=33956827 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33956827 #FOAvip English Wikipedia <ref>{{Cite pmid|33956827}}</ref> COVID-19 incidence and mortality in the Metropolitan Region, Chile: Time, space, and structural factors #MMPMID33956827 Villalobos Dintrans P; Castillo C; de la Fuente F; Maddaleno M PLoS One 2021[]; 16 (5): e0250707 PMID33956827show ga Demographic, health, and socioeconomic factors significantly inform COVID-19 outcomes. This article analyzes the association of these factors and outcomes in Chile during the first five months of the pandemic. Using the municipalities Metropolitan Region's municipalities as the unit of analysis, the study looks at the role of time dynamics, space, and place in cases and deaths over a 100-day period between March and July 2020. As a result, common and idiosyncratic elements explain the prevalence and dynamics of infections and mortality. Social determinants of health, particularly multidimensional poverty index and use of public transportation play an important role in explaining differences in outcomes. The article contributes to the understanding of the determinants of COVID-19 highlighting the need to consider time-space dynamics and social determinants as key in the analysis. Structural factors are important to identify at-risk populations and to select policy strategies to prevent and mitigate the effects of COVID-19. The results are especially relevant for similar research in unequal settings. |Aged[MESH] |Aged, 80 and over[MESH] |COVID-19/*epidemiology/mortality[MESH] |Child[MESH] |Chile/epidemiology[MESH] |Female[MESH] |Humans[MESH] |Incidence[MESH] |Male[MESH] |Poverty[MESH] |Risk Factors[MESH] |SARS-CoV-2/isolation & purification[MESH] |Social Determinants of Health[MESH] |Socioeconomic Factors[MESH]COVID-19 incidence and mortality in the Metropolitan Region, Chile: Ti(epmc).pdf DeepDyve Pubget Overpricing