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10.1017/S095026882000134X http://scihub22266oqcxt.onion/10.1017/S095026882000134X C7324662!7324662 !32594926     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32594926 &cmd=llinks): Failed to open stream: HTTP request failed! 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Taking the inner route: spatial and demographic factors affecting vulnerability to COVID-19 among 604 cities from inner São Paulo State, Brazil |pdf=|usr=}}{{32594926 }} gab.com Text Taking the inner route: spatial and demographic factors affecting vulnerability to COVID-19 among 604 cities from inner São Paulo State, Brazil JO: Epidemiol Infect http://www.kidney.de/pget.php?&tw=1&pmid=32594926 #FOAvip Even though the impact of COVID-19 in metropolitan areas has been extensively studied, the geographic spread to smaller cities is also of great concern. We conducted an ecological study aimed at identifying predictors of early introduction, incidence rates of COVID-19 and mortality (up to 8 May 2020) among 604 municipalities in inner São Paulo State, Brazil. Socio-demographic indexes, road distance to the state capital and a classification of regional relevance were included in predictive models for time to COVID-19 introduction (Cox regression), incidence and mortality rates (zero-inflated binomial negative regression). In multivariable analyses, greater demographic density and higher classification of regional relevance were associated with both early introduction and increased rates of COVID-19 incidence and mortality. Other predictive factors varied, but distance from the State Capital (São Paulo City) was negatively associated with time-to-introduction and with incidence rates of COVID-19. Our results reinforce the hypothesis of two patterns of geographical spread of SARS-Cov-2 infection: one that is spatial (from the metropolitan area into the inner state) and another which is hierarchical (from urban centres of regional relevance to smaller and less connected municipalities). Those findings may apply to other settings, especially in developing and highly heterogeneous countries, and point to a potential benefit from strengthening non-pharmaceutical control strategies in areas of greater risk. Twit Text FOAVip Taking the inner route: spatial and demographic factors affecting vulnerability to COVID-19 among 604 cities from inner São Paulo State, Brazil ????Epidemiol Infect http://www.kidney.de/pget.php?&tw=1&pmid=32594926 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32594926 #FOAvip English Wikipedia <ref>{{Cite pmid|32594926 }}</ref> Taking the inner route: spatial and demographic factors affecting vulnerability to COVID-19 among 604 cities from inner São Paulo State, Brazil #MMPMID32594926 Fortaleza CMCB ; Guimarães RB ; de Almeida GB ; Pronunciate M ; Ferreira CP Epidemiol Infect 2020[Jun]; 148 (ä): e118 PMID32594926 show ga Even though the impact of COVID-19 in metropolitan areas has been extensively studied, the geographic spread to smaller cities is also of great concern. We conducted an ecological study aimed at identifying predictors of early introduction, incidence rates of COVID-19 and mortality (up to 8 May 2020) among 604 municipalities in inner São Paulo State, Brazil. Socio-demographic indexes, road distance to the state capital and a classification of regional relevance were included in predictive models for time to COVID-19 introduction (Cox regression), incidence and mortality rates (zero-inflated binomial negative regression). In multivariable analyses, greater demographic density and higher classification of regional relevance were associated with both early introduction and increased rates of COVID-19 incidence and mortality. Other predictive factors varied, but distance from the State Capital (São Paulo City) was negatively associated with time-to-introduction and with incidence rates of COVID-19. Our results reinforce the hypothesis of two patterns of geographical spread of SARS-Cov-2 infection: one that is spatial (from the metropolitan area into the inner state) and another which is hierarchical (from urban centres of regional relevance to smaller and less connected municipalities). Those findings may apply to other settings, especially in developing and highly heterogeneous countries, and point to a potential benefit from strengthening non-pharmaceutical control strategies in areas of greater risk. |Brazil/epidemiology [MESH] |COVID-19 [MESH] |Cities/epidemiology [MESH] |Communicable Disease Control [MESH] |Coronavirus Infections/*epidemiology/mortality/prevention & control [MESH] |Humans [MESH] |Incidence [MESH] |Pandemics/prevention & control [MESH] |Pneumonia, Viral/*epidemiology/mortality/prevention & control [MESH] |Regression Analysis [MESH] |Urban Population [MESH]Taking the inner route: spatial and demographic factors affecting vuln(epmc).pdf DeepDyve Pubget Overpricing