2008
DOI: 10.1590/s0102-311x2008000600003
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A interiorização da epidemia de HIV/AIDS e o fluxo intermunicipal de internação hospitalar na Zona da Mata, Minas Gerais, Brasil: uma análise espacial

Abstract: The aim of this article was to analyze the decentralization of the HIV/AIDS epidemic (a shift to

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Cited by 29 publications
(34 citation statements)
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“…According to an epidemiological survey of the State Secretariat of Health of Alagoas, in 2012, the municipalities: Coqueiro Seco, Flexeiras and Joaquim Gomes showed higher rates of pregnant women with HIV/AIDS than the capital city Maceió (40) . The increase in these rates in small-and medium-sized municipalities reflects the phenomenon of interiorization that AIDS epidemic has been showing across the country, striking heavily those who live in underserved communities (41) . The interiorization event in Alagoas can be characterized because of the low coverage of the Family Health Strategy (ESF) in the inner cities.…”
Section: Discussionmentioning
confidence: 97%
“…According to an epidemiological survey of the State Secretariat of Health of Alagoas, in 2012, the municipalities: Coqueiro Seco, Flexeiras and Joaquim Gomes showed higher rates of pregnant women with HIV/AIDS than the capital city Maceió (40) . The increase in these rates in small-and medium-sized municipalities reflects the phenomenon of interiorization that AIDS epidemic has been showing across the country, striking heavily those who live in underserved communities (41) . The interiorization event in Alagoas can be characterized because of the low coverage of the Family Health Strategy (ESF) in the inner cities.…”
Section: Discussionmentioning
confidence: 97%
“…14,15 The place was chosen due to the history of the CTA, which provides services for approximately 300 users per month, with daily assistance and in two shifts.…”
Section: Methodological Proceduresmentioning
confidence: 99%
“…In this case, there is a strong predominance of spatial questions related to the distribution of the phenomena by space (62.5%), using the spatial smoothing techniques through Moran's index or Empirical Bayesian Estimation (Orsi; Cruz, 2005;Dias;Nobre, 2001;Reis et al, 2008) and agglomerates based on the Kernel methods (Diniz;Pinheiro;Proietti, 2015;Santos et al, 2001).…”
Section: Resultsmentioning
confidence: 99%