Cargando…
Environmental and socioeconomic analysis of malaria transmission in the Brazilian Amazon, 2010–2015
OBJECTIVE: To analyze the environmental and socioeconomic risk factors of malaria transmission at municipality level, from 2010 to 2015, in the Brazilian Amazon. METHODS: The municipalities were stratified into high, moderate, and low transmission based on the annual parasite incidence. A multinomia...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Faculdade de Saúde Pública da Universidade de São Paulo
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6536094/ https://www.ncbi.nlm.nih.gov/pubmed/31116238 http://dx.doi.org/10.11606/S1518-8787.2019053000983 |
_version_ | 1783421701447483392 |
---|---|
author | Canelas, Tiago Castillo-Salgado, Carlos Baquero, Oswaldo Santos Ribeiro, Helena |
author_facet | Canelas, Tiago Castillo-Salgado, Carlos Baquero, Oswaldo Santos Ribeiro, Helena |
author_sort | Canelas, Tiago |
collection | PubMed |
description | OBJECTIVE: To analyze the environmental and socioeconomic risk factors of malaria transmission at municipality level, from 2010 to 2015, in the Brazilian Amazon. METHODS: The municipalities were stratified into high, moderate, and low transmission based on the annual parasite incidence. A multinomial logistic regression that compared low with medium transmission and low with high transmission was performed. For each category, three models were analyzed: one only with socioeconomic risk factors (Gini index, illiteracy, number of mines and indigenous areas); a second with the environmental factors (forest coverage and length of the wet season); and a third with all covariates (full model). RESULTS: The full model showed the best performance. The most important risks factors for high transmission were Gini index, length of the wet season and illiteracy, OR 2.06 (95%CI 1.19–3.56), 1.73 (95%CI 1.19–2.51) and 1.10 (95%CI 1.03–1.17), respectively. The medium transmission showed a weaker influence of the risk factors, being illiteracy, forest coverage and indigenous areas statistically significant but with marginal influence. CONCLUSIONS: As a disease of poverty, the reduction in wealth inequalities and, therefore, health inequalities, could reduce the transmission considerably. Besides, environmental risk factors as length of the wet season should be considered in the planning, prevention and control. Municipality-level and fine-scale analysis should be done together to improve the knowledge of the local dynamics of transmission. |
format | Online Article Text |
id | pubmed-6536094 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Faculdade de Saúde Pública da Universidade de São Paulo |
record_format | MEDLINE/PubMed |
spelling | pubmed-65360942019-06-05 Environmental and socioeconomic analysis of malaria transmission in the Brazilian Amazon, 2010–2015 Canelas, Tiago Castillo-Salgado, Carlos Baquero, Oswaldo Santos Ribeiro, Helena Rev Saude Publica Original Article OBJECTIVE: To analyze the environmental and socioeconomic risk factors of malaria transmission at municipality level, from 2010 to 2015, in the Brazilian Amazon. METHODS: The municipalities were stratified into high, moderate, and low transmission based on the annual parasite incidence. A multinomial logistic regression that compared low with medium transmission and low with high transmission was performed. For each category, three models were analyzed: one only with socioeconomic risk factors (Gini index, illiteracy, number of mines and indigenous areas); a second with the environmental factors (forest coverage and length of the wet season); and a third with all covariates (full model). RESULTS: The full model showed the best performance. The most important risks factors for high transmission were Gini index, length of the wet season and illiteracy, OR 2.06 (95%CI 1.19–3.56), 1.73 (95%CI 1.19–2.51) and 1.10 (95%CI 1.03–1.17), respectively. The medium transmission showed a weaker influence of the risk factors, being illiteracy, forest coverage and indigenous areas statistically significant but with marginal influence. CONCLUSIONS: As a disease of poverty, the reduction in wealth inequalities and, therefore, health inequalities, could reduce the transmission considerably. Besides, environmental risk factors as length of the wet season should be considered in the planning, prevention and control. Municipality-level and fine-scale analysis should be done together to improve the knowledge of the local dynamics of transmission. Faculdade de Saúde Pública da Universidade de São Paulo 2019-05-15 /pmc/articles/PMC6536094/ /pubmed/31116238 http://dx.doi.org/10.11606/S1518-8787.2019053000983 Text en https://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Canelas, Tiago Castillo-Salgado, Carlos Baquero, Oswaldo Santos Ribeiro, Helena Environmental and socioeconomic analysis of malaria transmission in the Brazilian Amazon, 2010–2015 |
title | Environmental and socioeconomic analysis of malaria transmission in the Brazilian Amazon, 2010–2015 |
title_full | Environmental and socioeconomic analysis of malaria transmission in the Brazilian Amazon, 2010–2015 |
title_fullStr | Environmental and socioeconomic analysis of malaria transmission in the Brazilian Amazon, 2010–2015 |
title_full_unstemmed | Environmental and socioeconomic analysis of malaria transmission in the Brazilian Amazon, 2010–2015 |
title_short | Environmental and socioeconomic analysis of malaria transmission in the Brazilian Amazon, 2010–2015 |
title_sort | environmental and socioeconomic analysis of malaria transmission in the brazilian amazon, 2010–2015 |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6536094/ https://www.ncbi.nlm.nih.gov/pubmed/31116238 http://dx.doi.org/10.11606/S1518-8787.2019053000983 |
work_keys_str_mv | AT canelastiago environmentalandsocioeconomicanalysisofmalariatransmissioninthebrazilianamazon20102015 AT castillosalgadocarlos environmentalandsocioeconomicanalysisofmalariatransmissioninthebrazilianamazon20102015 AT baquerooswaldosantos environmentalandsocioeconomicanalysisofmalariatransmissioninthebrazilianamazon20102015 AT ribeirohelena environmentalandsocioeconomicanalysisofmalariatransmissioninthebrazilianamazon20102015 |