Saneamento, Arboviroses e Determinantes Ambientais: impactos na saúde urbana

Almeida, Lorena Sampaio; Cota, Ana Lí­dia Soares; Rodrigues, Diego Freitas

doi:10.1590/1413-812320202510.30712018

Cited by 63 publications

(42 citation statements)

References 16 publications

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“…4 Indeed, in the state of Bahia, a 2% increase in cases of chikungunya was observed as compared to the same period in 2019 when there were no traces of COVID-19. 5 So in 2020, variation in the incidence of the disease was observed. Although there was an increase in arboviral infections during the first half of 2020, these cases were significantly decreased during the second half of 2020.…”

Section: The First Case Of Chikv Infection Was Confirmed In Northernmentioning

confidence: 99%

Chikungunya and COVID‐19 in Brazil: The danger of an overlapping crises

Jain

Rocha

Maheshwari

et al. 2021

Journal of Medical Virology

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Section: The First Case Of Chikv Infection Was Confirmed In Northernmentioning

confidence: 99%

Chikungunya and COVID‐19 in Brazil: The danger of an overlapping crises

Jain

Rocha

Maheshwari

et al. 2021

Journal of Medical Virology

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“…There has been much discussion about the role of poorly planned urbanization and disorderly growth in the health of the population, especially with regard to contagious or insect borne diseases [37]. The high prevalence of CHIKV in the Fulni-ô people may be favored by the degree of urbanization, with unpaved streets, houses that preserve original constructions, which are partly made of clay, and less sanitary structure [9,18].…”

Section: Discussionmentioning

confidence: 99%

Anti-chikungunya virus seroprevalence in Indigenous groups in the São Francisco Valley, Brazil

et al. 2021

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Background Chikungunya fever (CHIKF) is a serious public health problem with a high rate of infection and chronic disabling manifestations that has affected more than 2 million people worldwide since 2005. In spite of this, epidemiological data on vulnerable groups such as Indigenous people are scarce, making it difficult to implement public policies in order to prevent this disease and assist these populations. Objective To describe the serological and epidemiological profile of chikungunya virus (CHIKV) in two Indigenous populations in Northeast Brazil, as well as in an urbanized control community, and to explore associations between CHIKV and anthropometric variables in these populations. Methodology/Principal findings This is a cross-sectional ancillary study of the Project of Atherosclerosis among Indigenous Populations (PAI) that included people 30 to 70 years old, recruited from two Indigenous tribes (the less urbanized Fulni-ô and the more urbanized Truká people) and an urbanized non-Indigenous control group from the same area. Subjects underwent clinical evaluation and were tested for anti-CHIKV IgG by enzyme-linked immunosorbent assay. Serological profile was described according to ethnicity, sex, and age. The study population included 433 individuals distributed as follows: 109 (25·2%) Truká, 272 (62·8%) Fulni-ô, and 52 (12%) from the non-Indigenous urbanized control group. Overall prevalence of CHIKV IgG in the study sample was 49.9% (216; 95% CI: 45·1–54·7). When the sample was stratified, positive CHIKV IgG was distributed as follows: no individuals in the Truká group, 78·3% (213/272; 95% CI: 72·9–83·1) in the Fulni-ô group, and 5.8% (3/52; 95% CI: 1.21–16) in the control group. Conclusions/Significance Positive tests for CHIKV showed a very high prevalence in a traditional Indigenous population, in contrast to the absence of anti-CHIKV serology in the Truká people, who are more urbanized with respect to physical landscape, socio-cultural, and historical aspects, as well as a low prevalence in the non-Indigenous control group, although all groups are located in the same area.

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“…Studies underscore the importance of not disregarding the influence of social, economic and environmental factors related to the ZIKV, given that knowing the profile and cause of diseases in an area is essential to help plan public health policies and strengthen the National Health System (SUS), which could reduce the incidence of disease in the region under study 7,24,25 .…”

Section: Discussionmentioning

confidence: 99%

Relação dos indicadores de desigualdade social na distribuição espacial dos casos de Zika Vírus

Cunha

Medeiros

Lima

et al. 2020

Ciênc. saúde coletiva

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Resumo O objetivo deste artigo é analisar a possível relação de indicadores que refletem a desigualdade social sobre a distribuição espacial dos casos de Zika vírus (ZIKV) em um estado do Nordeste brasileiro no Biênio 2015-2016. Estudo ecológico com dados das notificações de casos de ZIKV e indicadores sociodemográficos do estado do Rio Grande do Norte (RN) calculados a partir de dados da Secretaria de Estado de Saúde Pública do RN (SESAP-RN) e DATASUS. Os dados foram analisados no Terraview versão 4.2.2, no GeoDa versão 1.12 e no IBM SPSS Statistics 21. Observou-se que tanto a Taxa Média de Incidência (TMI) de casos de ZIKV no biênio de 2015-2016 (Moran=0,139; p=0,03) quanto a TMI de violência (Moran=0,295; p=0,02), renda média domiciliar (Moran=0,344; p=0,01) e taxa de desemprego (Moran=0,231; p=0,01) obedeceram um padrão geográfico de distribuição espacial. Na análise de regressão linear múltipla as variáveis TMI de violência e renda domiciliar média explicaram 55% da variação da TMI de ZIKV no biênio 2015-2016 (R2 ajustado = 0,55). Municípios com mais notificações de violência e renda média favorável, como a capital, detêm maiores TMI de casos de ZIKV, fenômeno mediado possivelmente pela melhor organização, maior clareza aos problemas socioambientais e ainda, melhor acesso aos serviços de saúde.

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Saneamento, Arboviroses e Determinantes Ambientais: impactos na saúde urbana

Cited by 63 publications

References 16 publications

Chikungunya and COVID‐19 in Brazil: The danger of an overlapping crises

Chikungunya and COVID‐19 in Brazil: The danger of an overlapping crises

Anti-chikungunya virus seroprevalence in Indigenous groups in the São Francisco Valley, Brazil

Relação dos indicadores de desigualdade social na distribuição espacial dos casos de Zika Vírus

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