Environmental and socioeconomic analysis of malaria transmission in the Brazilian Amazon, 2010-2015.

Tiago Canelas, Carlos Castillo-Salgado, Oswaldo Santos Baquero, Helena Ribeiro
Author Information
  1. Tiago Canelas: Universidade de São Paulo. Faculdade de Saúde Pública. Departamento de Saúde Ambiental. São Paulo, SP, Brasil. ORCID
  2. Carlos Castillo-Salgado: Johns Hopkins University. Johns Hopkins Bloomberg School of Public Health. Baltimore, MD, US. ORCID
  3. Oswaldo Santos Baquero: Universidade de São Paulo. Faculdade de Medicina Veterinária e Zootecnia. Departamento de Medicina Veterinária Preventiva e Saúde Animal. São Paulo, SP, Brasil. ORCID
  4. Helena Ribeiro: Universidade de São Paulo. Faculdade de Saúde Pública. Departamento de Saúde Ambiental. São Paulo, SP, Brasil. ORCID

Abstract

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.

References

  1. Rev Inst Med Trop Sao Paulo. 2000 Sep-Oct;42(5):269-75 [PMID: 11058937]
  2. Am J Trop Med Hyg. 2002 Jun;66(6):641-8 [PMID: 12224567]
  3. Mem Inst Oswaldo Cruz. 2006 May;101(3):229-37 [PMID: 16862314]
  4. Mem Inst Oswaldo Cruz. 2007 Jun;102(3):271-6 [PMID: 17568931]
  5. Emerg Infect Dis. 2009 Apr;15(4):659-62 [PMID: 19331766]
  6. Med Vet Entomol. 2009 Dec;23(4):335-49 [PMID: 19941599]
  7. Malar J. 2010 Apr 30;9:115 [PMID: 20433744]
  8. Emerg Infect Dis. 2010 Jul;16(7):1108-15 [PMID: 20587182]
  9. Am J Trop Med Hyg. 2010 Oct;83(4):861-7 [PMID: 20889880]
  10. Malar J. 2010 Nov 11;9:322 [PMID: 21070659]
  11. Rev Soc Bras Med Trop. 2011 Nov-Dec;44(6):749-54 [PMID: 22231249]
  12. Cad Saude Publica. 2013 May;29(5):935-44 [PMID: 23702999]
  13. Acta Trop. 2014 Jan;129:33-41 [PMID: 24056199]
  14. Malar J. 2014 Mar 10;13:86 [PMID: 24612550]
  15. Rev Bras Epidemiol. 2014 Jul-Sep;17(3):615-28 [PMID: 25272256]
  16. Malar J. 2014 Nov 20;13:443 [PMID: 25412882]
  17. Rev Soc Bras Med Trop. 2014 Nov-Dec;47(6):763-9 [PMID: 25626656]
  18. Malar J. 2015 Feb 07;14:68 [PMID: 25890035]
  19. PLoS One. 2015 Sep 11;10(9):e0137521 [PMID: 26361330]
  20. Malar J. 2016 May 10;15(1):266 [PMID: 27165432]
  21. Malar J. 2016 May 20;15(1):284 [PMID: 27206924]
  22. Malar J. 2016 Jun 09;15:315 [PMID: 27277831]
  23. Mem Inst Oswaldo Cruz. 2017 Jan 1;112(1):8-18 [PMID: 27925018]
  24. PLoS One. 2017 Feb 21;12(2):e0172330 [PMID: 28222159]
  25. Malar J. 2017 Jul 4;16(1):273 [PMID: 28676055]
  26. Malar J. 2017 Oct 2;16(1):397 [PMID: 28969634]
  27. Gac Med Mex. 2017;153(Supl. 2):S5-S12 [PMID: 29099113]
  28. PLoS Curr. 2018 Mar 27;10:null [PMID: 29623243]

MeSH Term

Brazil
Cities
Disease Transmission, Infectious
Forests
Humans
Incidence
Logistic Models
Malaria
Risk Factors
Seasons
Socioeconomic Factors
Spatio-Temporal Analysis
Time Factors

Word Cloud

Created with Highcharts 10.0.0transmissionfactors1riskenvironmentalsocioeconomichighlowilliteracylengthwetseason95%CImalariaBrazilianAmazonmediumGiniindexindigenousareasforestcoveragefullmodelshowedinfluenceinequalitiesanalysisOBJECTIVE:analyzemunicipalitylevel20102015METHODS:municipalitiesstratifiedmoderatebasedannualparasiteincidencemultinomiallogisticregressioncomparedperformedcategorythreemodelsanalyzed:onenumberminessecondthirdcovariatesRESULTS:bestperformanceimportantrisksOR20619-3567319-2511003-117respectivelyweakerstatisticallysignificantmarginalCONCLUSIONS:diseasepovertyreductionwealththereforehealthreduceconsiderablyBesidesconsideredplanningpreventioncontrolMunicipality-levelfine-scaledonetogetherimproveknowledgelocaldynamicsEnvironmental2010-2015

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