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Open Access 01-12-2015 | Research article

Vulnerability of Brazilian municipalities to hantavirus infections based on multi-criteria decision analysis

Authors: Stefan Vilges de Oliveira, Lidsy Ximenes Fonseca, Keline Medeiros de Araújo Vilges, Fernanda Voietta Pinna Maniglia, Simone Valéria Costa Pereira, Eduardo Pacheco de Caldas, Pedro Luiz Tauil, Rodrigo Gurgel-Gonçalves

Published in: Emerging Themes in Epidemiology | Issue 1/2015

Abstract

Background

Hantavirus infection is an emerging zoonosis transmitted by wild rodents. In Brazil, high case-fatality rates among humans infected with hantavirus are of serious concern to public health authorities. Appropriate preventive measures partly depend on reliable knowledge about the geographical distribution of this disease.

Methods

Incidence of hantavirus infections in Brazil (1993–2013) was analyzed. Epidemiological, socioeconomic, and demographic indicators were also used to classify cities’ vulnerability to disease by means of multi-criteria decision analysis (MCDA).

Results

From 1993 to 2013, 1752 cases of hantavirus were registered in 16 Brazilian states. The highest incidence of hantavirus was observed in the states of Mato Grosso (0.57/100,000) and Santa Catarina (0.13/100,000). Based on MCDA analysis, municipalities in the southern, southeastern, and midwestern regions of Brazil can be classified as highly vulnerable. Most municipalities in northern and northeastern Brazil were classified as having low vulnerability to hantavirus cardiopulmonary syndrome.

Conclusions

Although most human infections by hantavirus registered in Brazil occurred in the southern region of the country, a greater vulnerability to hantavirus was found in the Brazilian Midwest. This result reflects the need to strengthen surveillance where the disease has thus far gone unreported.

Organización Panamericana de la Salud—OPS. Hantavírus en las Américas: Guía para el diagnóstico, el tratamiento, la prevención y el control. (OPS. Cuaderno Técnico. 47) Washington, DC, OPS, 1999. pp 1–66.

Nichol ST, Spiropoulou CF, Morzunov S, Rollin PE, Ksiazek TG, Feldmann H, et al. Genetic identification of a novel Hantavírus associated with an outbreak of acute respiratory illness in the southwestern Unites States. Science. 1993;262:914–7.CrossRefPubMed

Oliveira RC, Guterres A, Fernandes J, D’Andrea PS, Bonvicino CR, Lemos ERS. Hantavirus reservoirs: current status with an emphasis on data from Brazil. Viruses. 2014;6:1929–73.CrossRefPubMed

Oliveira SV, Fonseca LX, Barros-Silva P, Caldas EP. Análise do perfil epidemiológico da hantavirose no Brasil no período de 2007 a 2012. Rev Patol Trop. 2014;43:131–42.CrossRef

Carvalho de Oliveira R, Cordeiro-Santos M, Guterres A, Fernandes J, de Melo AX, João GAP, et al. Rio mamore virus and hantavirus pulmonary syndrome, Brazil. Emerg Infect Dis. 2014;20:1568–70.PubMedCentralCrossRef

Willemann MCA, Oliveira SV. Risk factors associated with hantavirosis fatality: a regional analysis from a case-control study in Brazil. Rev Soc Bras Med Trop. 2014;47:47–51.CrossRefPubMed

Firth C, Tokarz R, Simith DB, Nunes MR, Bhat M, Rosa ES, et al. Diversity and distribution of hantavíruses in South America. J Virol. 2012;86:13756–66.PubMedCentralCrossRefPubMed

Ministério da Saúde do Brasil, Secretaria de Vigilância em Saúde, Departamento de Vigilância Epidemiológica. Guia de Vigilância Epidemiológica. Volume Único, Editora MS, Brasília. 2014. pp 1–812.

Silva MV, Vasconcelos MJ, Hidalgo NTR, Veiga APR, Canzian M, Marotto PCF, et al. Hantavírus pulmonary syndrome. Report of the first three cases in São Paulo, Brazil. Rev do Inst de Med Trop de SP. 1997;4:231–4.

10.

Fundação Nacional de Saúde do Brasil. Manual de controle de roedores. Brasília: Funasa; 2002. p. 1–132.

11.

Pereira LE, Souza LTM, Souza RP, Bisordi I, Suzuki A, Katz G. Histórico da vigilância eco-epidemiológica do hantavírus no Brasil. Rev CIP. 1999;3:5–12.

12.

Santos JP, Steinke ET, García-Zapata MT. Land use and occupation and hantavirosis dissemination in the São Sebastião region. Federal District: 2004–2008. Rev Soc Bras Med Trop. 2010;1:53–7.

13.

Oliveira SV, Lassance C, Nascimento GL, Souza LRO, Oliveira PB, Gurgel-Goncalves R. Conhecimentos, atitudes e práticas sobre hantavirose em um assentamento rural de Planaltina—Distrito Federal, 2011. Scie Plena. 2012;8:1–7.

14.

Badra SJ, Maia FG, Figueiredo GG, Dos Santos Junior GS, Campos GM, Figueiredo LT, et al. A retrospective serologic survey of hantavirus infections in the county of Cássia dos Coqueiros, State of São Paulo. Brazil. Rev Soc Bras Med Trop. 2012;45:468–70.CrossRefPubMed

15.

Terças AC, dos Atanaka SM, Pignatti MG, Espinosa MM, Via AV, Menegatti JA. Hantavirus pulmonary syndrome outbreak, Brazil, December 2009–January 2010. Emerg Infect Dis. 2013;19:1824–7.PubMedCentralCrossRefPubMed

16.

Santos JP, Oliveira SV, Steinke VA, Garcia-Zapata MTA. Análise da distribuição espacial da hantavirose no Distrito Federal, Brasil, 2004–2010. Rev Bras Geo Med e da Saúde. 2014;10:98–109.

17.

Oliveira SV, Folster I, Zeccer S, Fonseca L, Pereira SVC, Caldas EP. Investigação de ratada associada a florescimento e frutificação de taquaras em São Francisco do Sul, Santa Catarina, Brasil, 2012. Rev Baiana de Saud Pub. 2013;37:1071–9.

18.

Katz G, Williams RJ, Burt MS, de Souza LT, Pereira LE, Mills JN, et al. Hantavírus pulmonary syndrome in the state of São Paulo, Brazil. 1993–1998. Vect Borne Zoo Dis. 2001;3:181–90.CrossRef

19.

Vinhaes MC, de Oliveira SV, Reis PO, de Lacerda Sousa AC, Silva RA, Obara MT, et al. Assessing the vulnerability of brazilian municipalities to the vectorial transmission of Trypanosoma cruzi using multi-criteria decision analysis. Act Trop. 2014;137:105–10.CrossRef

20.

Moffett A, Sarkar S. Incorporating multiple criteria into the design of conservation area networks: a minireview with recommendations. Divers Distrib. 2006;12:125–37.CrossRef

21.

Sarkar S, Strutz SE, Frank DM, Rivaldi CL, Sissel B, Sánchez-Cordero V. Chagas disease risk in Texas. PLoS Negl Trop Dis. 2010;4:e836.PubMedCentralCrossRefPubMed

22.

Brans J, Mareshcal B. Promethee methods. In: Multiple criteria decision analysis: state of the art surveys. Springer, Berlin. 2005. pp. 163–195.

23.

Gomes LFAM, Araya MCG, Carignano C. Tomada de decisão em cenários complexos: introdução aos métodos discretos do apoio multicritério à decisão. São Paulo, SP, 1ª ed., Pioneira Thomson Learning. 2004. pp. 1–126.

24.

Morais DC, Almeida AT. Modelo de decisão em grupo para gerenciar perdas de água. Rev de Pesq Oper. 2006;26:567–84.

25.

Jannuzzi PM. Análise multicritério e a decisão em políticas públicas: Implementação da técnica no aplicativo Pradin e aplicações. Escola Nacional de Ciências Estatísticas, no. 29. 2010.

26.

Oliveira SV, Gurgel-Goncalves R. Análise preditiva da distribuição geográfica de hantavírus no Brasil. Rev P Amazônica Saud. 2013;4:73–4.CrossRef

27.

Knust B, Rollin PE. Twenty-year summary of surveillance for human hantavirus infections, United States. Emerg Infect Dis. 2013;19:1934–7.PubMedCentralCrossRefPubMed

28.

Pinto Junior VL, Hamidad AM, Albuquerque Filho DO, Santos VM. Twenty years of hantavirus pulmonary syndrome in Brazil: a review of epidemiological and clinical aspects. Infect Dev Ctries. 2014;8:137–42.

29.

Gimaque JB, Bastos Mde S, Braga WS, Oliveira CM, Castilho Mda C, Figueiredo RM, et al. Serological evidence of hantavirus infection in rural and urban regions in the state of Amazonas, Brazil. Mem Inst Oswaldo Cruz. 2012;107:135–7.CrossRefPubMed

30.

Lima DM, Sabino-Santos Junior G, Oliveira AC, Fontes RM, Colares JK, Araújo FM, et al. Hantavirus infection in suspected dengue cases from State of Ceará, Brazil. Rev Soc Bras Med Trop. 2011;44:795–6.CrossRefPubMed

31.

Mendes WS, Silva AAM, Neiva RF, Costa NM, Assis MS, Vidigal PMO, et al. Serologic survey of hantavirus infection, Brazilian Amazon. Emerg Infect Dis. 2010;16:890–1.CrossRef

32.

Santos IO, Figueiredo GG, Figueiredo LT, Azevedo MR, Novo NF, Vaz CA. Serologic survey of hantavirus in a rural population from the northern State of Mato Grosso, Brazil. Rev Soc Bras Med Trop. 2013;46:30–3.CrossRefPubMed

33.

Montoya-Ruiz C, Diaz FJ, Rodas JD. Recent evidence of hantavirus circulation in the American tropic. Viruses. 2014;6:1274–93.PubMedCentralCrossRefPubMed

34.

Lima DM, Sabino-Santos G Junior, Oliveira AC, Fontes RM, Colares JK, Araújo FM, Cavalcanti LP, da Fonseca BA, Figueiredo LT, Pompeu MM. Hantavirus infection in suspected dengue cases from State of Ceará, Brazil. Rev Soc Bras Med Trop. 2011;4:795–6.CrossRef

35.

Oliveira SV, Escobar LE, Peterson AT, Gurgel-Goncalves R. Potential geographic distribution of hantavirus reservoirs in Brazil. PLoS One. 2013;8:e85137.PubMedCentralCrossRefPubMed

36.

Limongi JE, Costa FC, Paula MBC, Pinto RMC, Oliveira MLA, Pajuaba Neto AA, et al. Síndrome cardiopulmonar por hantavírus no Triângulo Mineiro e alto Paraíba, MG 1998–2005; aspectos clínico-epidemiológicos de 23 casos. Rev Soc Bras Med Trop. 2007;40:295–9.CrossRefPubMed

37.

Stevens KB, Costard S, Metras R, Pfeiffer DU. Mapping the likelihood of introduction and spreed of highly pathogenic avian influenza virus H5N1 in Africa, Ghana, Ethiopia, Kenya and Nigeria using multicriteria decision modelling. UK: DFID/RVC/IFPRI/ILRI/RDRC; 2009. p. 1–32.

38.

Ministério da Saúde do Brasil, Secretaria-Executiva, Área de Economia da Saúde e Desenvolvimento. Avaliação de tecnologias em saúde: ferramentas para a gestão do SUS, Ministério da Saúde. Secretaria-Executiva, Brasília, editora do Ministério da Saúde. 2009. pp. 1–110.

39.

Aenishaenslin C, Hongoh V, Cissé HD, Hoen AG, Samoura K, Michel P, Bélanger D. Multi-criteria decision analysis as an innovative approach to managing zoonoses: results from a study on Lyme disease in Canada. BMC Publ Health. 2013;13(1):897.CrossRef

Title: Vulnerability of Brazilian municipalities to hantavirus infections based on multi-criteria decision analysis
Authors: Stefan Vilges de Oliveira
Lidsy Ximenes Fonseca
Keline Medeiros de Araújo Vilges
Fernanda Voietta Pinna Maniglia
Simone Valéria Costa Pereira
Eduardo Pacheco de Caldas
Pedro Luiz Tauil
Rodrigo Gurgel-Gonçalves
Publication date: 01-12-2015
Publisher: BioMed Central
Published in: Emerging Themes in Epidemiology / Issue 1/2015
Electronic ISSN: 1742-7622
DOI: https://doi.org/10.1186/s12982-015-0036-5

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Vulnerability of Brazilian municipalities to hantavirus infections based on multi-criteria decision analysis

Abstract

Background

Methods

Results

Conclusions

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Background

Methods

Results

Conclusions

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