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10.1371/journal.pone.0250493 http://scihub22266oqcxt.onion/10.1371/journal.pone.0250493 33983953!8118249!33983953     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33983953&cmd=llinks): Failed to open stream: HTTP request failed! 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Primary health care and social isolation against COVID-19 in Northeastern Brazil: Ecological time-series study |pdf=|usr=}}{{33983953}} gab.com Text Primary health care and social isolation against COVID-19 in Northeastern Brazil: Ecological time-series study JO: PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=33983953 #FOAvip BACKGROUND: Brazil is witnessing a massive increase of corona virus disease (COVID-19). Its peculiar primary health care (PHC) system faces a burden due to the contagion occurring in the community environment. Then, the aim is to estimate the effect of the coverage of primary health care and social isolation on the evolution of confirmed cases and deaths by COVID-19, controlling sociodemographic, economic and health system aspects. METHODS: A time series design was designed with data on diagnosed cases of COVID-19 and their deaths as outcomes in the capital cities of the Northeast region of Brazil. Independent variables such as PHC coverage, hospital beds, social isolation, demographic density, Gini index and other indicators were analyzed. A Autoregressive Generalized Linear Model method was applied for model the relationship. RESULTS: We identified an exponential growth of cases (y = 0.00250.71x; p-value<0,001). However, there is a high variability in the occurrence of outcomes. PHC coverage>/=75% (chi2 = 9.27; p-value = 0.01) and social isolation rate (chi2 = 365.99; p-value<0.001) proved to be mitigating factors for the spread of COVID-19 and its deaths. Capitals with hospital beds >/= 3.2 per thousand inhabitants had fewer deaths (chi2 = 9.02; p-value = 0.003), but this was influenced by PHC coverage (chi2 = 30,87; p-value<0.001). CONCLUSIONS: PHC mitigates the occurrence of Covid-19 and its deaths in a region of social vulnerability in Brazil together with social isolation. However, it is not known until when the system will withstand the overload in view of the low adhesion to social isolation, the lack of support and appropriate direction from the government to its population. Twit Text FOAVip Primary health care and social isolation against COVID-19 in Northeastern Brazil: Ecological time-series study ????PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=33983953 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33983953 #FOAvip English Wikipedia <ref>{{Cite pmid|33983953}}</ref> Primary health care and social isolation against COVID-19 in Northeastern Brazil: Ecological time-series study #MMPMID33983953 Costa de Assis SJ; Lopes JM; Guedes MBOG; Sanchis GJB; Araujo DN; Roncalli AG PLoS One 2021[]; 16 (5): e0250493 PMID33983953show ga BACKGROUND: Brazil is witnessing a massive increase of corona virus disease (COVID-19). Its peculiar primary health care (PHC) system faces a burden due to the contagion occurring in the community environment. Then, the aim is to estimate the effect of the coverage of primary health care and social isolation on the evolution of confirmed cases and deaths by COVID-19, controlling sociodemographic, economic and health system aspects. METHODS: A time series design was designed with data on diagnosed cases of COVID-19 and their deaths as outcomes in the capital cities of the Northeast region of Brazil. Independent variables such as PHC coverage, hospital beds, social isolation, demographic density, Gini index and other indicators were analyzed. A Autoregressive Generalized Linear Model method was applied for model the relationship. RESULTS: We identified an exponential growth of cases (y = 0.00250.71x; p-value<0,001). However, there is a high variability in the occurrence of outcomes. PHC coverage>/=75% (chi2 = 9.27; p-value = 0.01) and social isolation rate (chi2 = 365.99; p-value<0.001) proved to be mitigating factors for the spread of COVID-19 and its deaths. Capitals with hospital beds >/= 3.2 per thousand inhabitants had fewer deaths (chi2 = 9.02; p-value = 0.003), but this was influenced by PHC coverage (chi2 = 30,87; p-value<0.001). CONCLUSIONS: PHC mitigates the occurrence of Covid-19 and its deaths in a region of social vulnerability in Brazil together with social isolation. However, it is not known until when the system will withstand the overload in view of the low adhesion to social isolation, the lack of support and appropriate direction from the government to its population. |Brazil/epidemiology[MESH] |COVID-19/diagnosis/*epidemiology/prevention & control[MESH] |Cities/epidemiology[MESH] |Hospitalization[MESH] |Humans[MESH] |Primary Health Care[MESH] |SARS-CoV-2/isolation & purification[MESH] |Social Isolation[MESH]Primary health care and social isolation against COVID-19 in Northeast(epmc).pdf DeepDyve Pubget Overpricing