https://doi.org/10.4081/gh.2020.861
Mapping the risk for transmission of urban schistosomiasis in the Brazilian Northeast
Submitted: 29 January 2020
Accepted: 31 July 2020
Published: 29 December 2020
Accepted: 31 July 2020
Abstract Views: 1650
PDF: 665
HTML: 25
HTML: 25
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
This is an analysis of the risk of schistosomiasis transmission in the city of Recife in the Northeast of Brazil based on the number of schistosomiasis cases (Schistosoma mansoni) registered for the period 2007-2017 together with data resulting from active search of breeding sites of the Biomphalaria snail intermediate host. The analyses were performed using Kernel Density Estimation (KDE), SaTScan and Map Algebra methodology using human socio-demographic data and biotic and abiotic data from the snail breeding sites. Investigating 44 breeding sites resulted in a total of 3.800 snails, 31.8% of which were positive for S. mansoni DNA. These data were considered in relation to total of 652 schistosomiasis cases. The KDE showed two high-risk and two medium-risk clusters, while three significant clusters were identified by SaTScan. Combining these data with the Map Algebra methodology showed that all high-risk neighbourhoods had breeding sites with snails positive for S. mansoni. It was concluded that schistosomiasis transmission cannot be controlled without basic sanitation and sewage management in the presence of Biomphalaria snails. The technique of Map Algebra was found to be fundamental for the analysis and demonstration of areas with a high probability of schistosomiasis transmission.
Barbosa C, Barbosa V, Melo F, Melo M, Bezerra L, Campos J, Rodrigues B, Nascimento W, Gomes E, Leal-Neto O, Domingues A, 2013. Casos autoctones de esquistossomose mansonica em criancas de Recife, PE. Rev. Saúde Pública [Internet]. 47(4), 684-690.
DOI: https://doi.org/10.1590/S0034-8910.2013047004664
Barbosa C, Gomes E, Campos J, Oliveira F, Mesquita M, Oliveira ECA, Domingues A, 2016. Morbidity of mansoni schistosomiasis in Pernambuco-Brazil: Analysis on the temporal evolution of deaths, hospital admissions and severe clinical forms (1999-2014). Acta Trop 164,10-16.
DOI: https://doi.org/10.1016/j.actatropica.2016.06.024
Barbosa C, Leal-Neto O, Gomes E, Araújo K, Domingues A, 2011. The endemisation of schistosomiasis in Porto de Galinhas, Pernambuco, Brazil, 10 years after the first epidemic outbreak. Mem. Inst. Oswaldo Cruz [Internet]. Nov; 106(7): 878-883.
DOI: https://doi.org/10.1590/S0074-02762011000700014
Barbosa V, Loyo R, Guimarães R, Barbosa C, 2017. The Geographic Information System applied to study schistosomiasis in Pernambuco. Rev. Saúde Pública [Internet]. [cited 2019 June 13] ; 51: 107.
DOI: https://doi.org/10.11606/S1518-8787.2017051000069
Brasil, 2014. Vigilância da Esquistossomose Mansoni. Diretrizes técnicas. 4ª Edição. BrasÃlia, 145 pp.
Buffon E, 2018. Vulnerabilidade socioambiental à leptospirose humana no aglomerado urbano metropolitano de Curitiba, Paraná, Brasil: proposta metodológica a partir da análise multicritério e álgebra de mapas. Saude soc, 27(2): 588-604.
DOI: https://doi.org/10.1590/s0104-12902018170096
Cardim L, Ferraudo A, Pacheco S, Reis R, Silva M, Carneiro D, Carneiro D, Bavia E, 2011. Análises espaciais na identificação das áreas de risco para a esquistossomose mansônica no municÃpio de Lauro de Freitas, Bahia, Brasil. Cad. Saúde Pública, 27(5): 899-908.
DOI: https://doi.org/10.1590/S0102-311X2011000500008
Carvalho S, Magalhães M, Medronho R, 2017. Análise da distribuição espacial de casos da dengue no municÃpio do Rio de Janeiro, 2011 e 2012. Rev Saude Publica. 51 (79), 1-10.
DOI: https://doi.org/10.11606/s1518-8787.2017051006239
Castilho C, 2011. Processo de Produção Desigual do Espaço Urbano: Recife – Impasse Permanente da Coexistência de Interesses da “Cidade À Acumulação de Capital†e da “Cidade À Realização Plena da Vida Humanaâ€!. ACTA Geográfica, Boa Vista, v.5, n.10, jul./dez. pp.95-13.
DOI: https://doi.org/10.5654/actageo2011.0510.0006
Deslandes N, 1951. Técnica de dissecação e exame de planorbÃdeos. Revista do Serviços Especiais de Saúde Pública, 4:371-382.
Eck J, Chainey S, Cameron J, Leitner M, Wilson R. Mapping Crime: Understanding Hot Spots, 79pp. Available at https://www.ncjrs.gov/pdffiles1/nij/209393.pdf. Accessed on 01 May 2020.
Flauzino R, Souza-Santos R, Oliveira R, 2009. Dengue, geoprocessamento e indicadores socioeconômicos e ambientais: um estudo de revisão. Rev Panam Salud Publica, v. 25, n. 5, p. 456–61.
DOI: https://doi.org/10.1590/S1020-49892009000500012
Galvão A, Favre T, Guimarães R, Pereira A, Zani L, Felipe K, Domingues A, Carvalho O, Barbosa C, Pieri O, 2010. Spatial distribution of Schistosoma mansoni infection before and after chemotherapy with two praziquantel doses in a community of Pernambuco, Brazil. Mem Inst Oswaldo Cruz, 105 (Suppl. IV): 555-562.
DOI: https://doi.org/10.1590/S0074-02762010000400035
Gomes E, Mesquita M, Rehn V, Nascimento W, Loyo R, Barbosa C, 2016. Transmissão urbana da esquistossomose: novo cenário epidemiológico na Zona da Mata de Pernambuco. Rev. bras. Epidemiol, 19( 4 ): 822-834.
DOI: https://doi.org/10.1590/1980-5497201600040012
Gonçalves E, 2015. Caminhar pelo Recife Antigo a Calçada como Espaço de Vivência [dissertação de mestrado]. [Recife (PE)]: Universidade Federal de Pernambuco, Centro de Ciências Sociais; 102 pp.
Gonçalves F, Coutinho A, Santana W, Barbosa C, 1991. Esquistossomose aguda, de caráter episódico, na ilha de Itamaracá, estado de Pernambuco. Cad. Saúde Pública [Internet], Sep 7(3): 424-425.
DOI: https://doi.org/10.1590/S0102-311X1991000300011
Guimarães C, Souza C, Carvalho O, Katz N, 1993. Sobre um foco urbano de esquistossomose em área metropolitana da região sudeste do Brasil. Revista de Saúde Pública; 27(3), 210-213.
DOI: https://doi.org/10.1590/S0034-89101993000300009
Guimarães I, Tavares-Neto J, 2006. Transmissão urbana de esquistossomose em crianças de um bairro de Salvador, Bahia. Revista da Sociedade Brasileira de Medicina Tropical, v. 39, n. 5, p. 451-455.
DOI: https://doi.org/10.1590/S0037-86822006000500006
IBGE, 2018. Discover cities and states in Brazil 2018. Available at https://cidades.ibge.gov.br/. Accessed on 05 March 2019.
Instituto Trat Brasil, 2013. Research shows that 65% of Recife does not have a sewage system - G1 - RJ - Pernambuco. São Paulo, 2013. Available at http://www.tratabrasil.org.br/pesquisa-aponta-que-65-do-recife-nao-conta-com-rede-de-esgoto-g1-rj-pernambuco. Accessed on 20 January 2019.
Instituto Trat Brasil, 2019. Sanitation Ranking 2018. Available at http://tratabrasil.org.br/estudos/estudos-itb/itb/ranking-do-saneamento-2018 Accessed on 02 June 2019.
Kulldorff M, 2018. SaTScan User Guide for version 9.6, 122pp. Available at < https://www.satscan.org/cgi-bin/satscan/register.pl/SaTScan_Users_Guide.pdf?todo=process_userguide_download>. Accessed on 01 May 2020.
Leal-Neto O, Gomes E, Oliveira-Junior F, Andrade R, Reis D, Souza-Santos R, Bocanegra S, Barbosa C, 2013. Biological and environmental factors associated with risk of schistosomiasis mansoni transmission in Porto de Galinhas, Pernambuco State, Brazil. Cad. Saúde Pública [Internet]. 29(2): 357-367.
DOI: https://doi.org/10.1590/S0102-311X2013000200022
Maricato E, 2003. Metrópole, legislação e desigualdade. Estudos Avançados, 17(48), 151-166 pp.
DOI: https://doi.org/10.1590/S0103-40142003000200013
Melo F, Abath F, Gomes A, Barbosa C, Werkauser R, 2006. Molecular approaches for the detection of Schistosoma mansoni: possible applications in the detection of snail infection, monitoring of transmission sites, and diagnosis of human infection. Memórias do Instituto Oswaldo Cruz (Impresso), v. 101, p. 145-148.
DOI: https://doi.org/10.1590/S0074-02762006000900023
Nascimento G, Oliveira M, 2014. Severe forms of schistosomiasis mansoni: epidemiologic and economic impact in Brazil, 2010. Trans R Soc Trop Med Hyg. Jan;108 (1):29-36.
DOI: https://doi.org/10.1093/trstmh/trt109
Oliveira E, Pimentel T, Araujo J, Oliveira L, Fernando V, Loyo R, Gomes E, Moreira R, Barbosa C, 2018. Investigação sobre os casos e óbitos por esquistossomose na cidade do Recife, Pernambuco, Brasil, 2005-2013. Epidemiol. Serv. Saúde [Internet]. 27( 4 ): e 2017190.
DOI: https://doi.org/10.5123/S1679-49742018000400010
Olivier L, Schneiderman M, 1956. A method for estimating the density of aquatic snail populations. Exper Parasitol, v. 5, p. 109-117.
DOI: https://doi.org/10.1016/0014-4894(56)90008-X
PAHO, 2017. The WHO report reports unprecedented progress against neglected tropical diseases. Available at: https://www.paho.org/bra/index.php?option=com_content&view=article&id=5401:relatorio-da-oms-informa-progressos-sem-precedentes-contra-doencas-tropicais-negligenciadas&Itemid=812. Accessed on 1 May 2020.
Recife, 2019. Services for the citizen. Available at http://www2.recife.pe.gov.br/servico/parnamirim?op=NTI4Mg==. Accessed on 23 April de 2019.
Recife, 2020. Characterization of the territory. Available at http://www2.recife.pe.gov.br/pagina/caracterizacao-do-territorio. Accessed on 10 May de 2020.
Santos A, Araújo D, Menezes A, Lima S, Góes M, Araújo C, 2017. Dinâmica espacial e temporal da infecção pelo vÃrus da hepatite C. Arquivos de Ciências da Saúde [Internet]. 24(4), 14-19.
DOI: https://doi.org/10.17696/2318-3691.24.4.2017.802
Santos A, Santos M, Santos P, Barreto A, 2016. Análise espacial e caracterÃsticas epidemiológicas dos casos de esquistossomose mansônica no municÃpio de Simão Dias, nordeste do Brasil. Rev. patol. trop [Internet]. 45(1), 99 -114.
DOI: https://doi.org/10.5216/rpt.v45i1.39978
Santos O, 2012. Cidade, Urbano e Movimentos: Sobre a Formação do Urbano e a Ação dos Grupos Socioespaciais “ExcluÃdos†– Um Olhar Sobre Recife/Pe. GEOTemas, Pau dos Ferros, Rio Grande do Norte, Brasil, v 2, n. 1, p. 61-72, jan./jun.
Souza C, Lima L, 1990. Moluscos de Interesse Parasitológico do Brasil, Série Esquistossomose 1. Belo Horizonte, Centro de Pesquisas René Rachou, Fundação Oswaldo Cruz. 76 pp.
Tomlin C, 1994. Map algebra: one perspective. Landscape and Urban Planning, 1994; 30, 3-I 2.
DOI: https://doi.org/10.1016/0169-2046(94)90063-9
WHO, 2002. Prevention and control of schistosomiasis and soil-transmitted helminthiasis. WHO Technical Report Series, 912. http://apps.who.int/iris/bitstream/10665/42588/1/WHO_TRS_912.pdf?ua=1. Accessed on 2 June 2019.
WHO, 2020. Factsheet on schistosomiasis. Available at https://www.who.int/news-room/fact-sheets/detail/schistosomiasis. Accessed on 24 July 2020.
How to Cite
de Oliveira, E. C. A., da Silva, I. E. P., Ferreira, R. J., Guimarães, R. J. de P. S. e, Gomes, E. C. de S., & Barbosa, C. S. (2020). Mapping the risk for transmission of urban schistosomiasis in the Brazilian Northeast. Geospatial Health, 15(2). https://doi.org/10.4081/gh.2020.861
Copyright (c) 2020 The Authors
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
PAGEPress has chosen to apply the Creative Commons Attribution NonCommercial 4.0 International License (CC BY-NC 4.0) to all manuscripts to be published.
List of Cited By :
Similar Articles
- Tawanda Manyangadze, Moses John Chimbari, Michael Gebreslasie, Samson Mukaratirwa, Application of geo-spatial technology in schistosomiasis modelling in Africa: a review , Geospatial Health: Vol. 10 No. 2 (2015)
- Allan D. Santos, Jonhnatas Silva, Ana Caroline Lima, Márcio Santos, Shirley Lima, Monalisa Amor, Carlos Santos, Arthur Vasconcelos, Silvio Dolabella, Karina C.G.M. Araújo, Spatial analysis of the prevalence of schistosomiasis in an endemic coastal area in north-eastern Brazil , Geospatial Health: Vol. 12 No. 2 (2017)
- Rufin K. Assaré, Ying-Si Lai, Ahoua Yapi, Yves-Nathan T. Tian-Bi, Mamadou Ouattara, Patrick K. Yao, Stefanie Knopp, Penelope Vounatsou, Jürg Utzinger, Eliézer K. N'Goran, The spatial distribution of Schistosoma mansoni infection in four regions of western Côte d'Ivoire , Geospatial Health: Vol. 10 No. 1 (2015)
- Yi Hu, Robert Bergquist, Henry Lynn, Fenghua Gao, Qizhi Wang, Shiqing Zhang, Rui Li, Liqian Sun, Congcong Xia, Chenglong Xiong, Zhijie Zhang, Qingwu Jiang, Sandwich mapping of schistosomiasis risk in Anhui Province, China , Geospatial Health: Vol. 10 No. 1 (2015)
- Muhammad Nur Aidi, Cynthia Wulandari, Sachnaz Desta Oktarina, Taufiqur Rakhim Aditra, Fitrah Ernawati, Efriwati Efriwati, Nunung Nurjanah, Rika Rachmawati, Elisa Diana Julianti, Dian Sundari, Fifi Retiaty, Aya Yuriestia Arifin, Rita Marleta Dewi, Nazarina Nazaruddin, Salimar Salimar, Noviati Fuada, Yekti Widodo, Budi Setyawati, Nuzuliyati Nurhidayati, Sudikno Sudikno, Irlina Raswanti Irawan, Widoretno Widoretno, Province clustering based on the percentage of communicable disease using the BCBimax biclustering algorithm , Geospatial Health: Vol. 18 No. 2 (2023)
- Xavier Barber, David Conesa, Silvia Lladosa, Antonio Lòpez-Quílez, Modelling the presence of disease under spatial misalignment using Bayesian latent Gaussian models , Geospatial Health: Vol. 11 No. 1 (2016): Valencia Issue
- Yi Hu, Rui Li, Michael P. Ward, Yue Chen, Henry Lynn, Decheng Wang, Gengxin Chen, Zonggui He, Liqian Sun, Chenglong Xiong, Zhijie Zhang, Qingwu Jiang, Human infections and co-infections with helminths in a rural population in Guichi, Anhui Province, China , Geospatial Health: Vol. 10 No. 2 (2015)
- Carla V.V. Rollemberg, Marília M.B.L. Silva, Karla C. Rollemberg, Fábio R. Amorim, Nayanna M.N. Lessa, Marcos D.S. Santos, Acácia M.B. Souza, Enaldo V. Melo, Roque P. Almeida, Ângela M. Silva, Guilherme L. Werneck, Mario A. Santos, José A.P. Almeida, Amélia R. Jesus, Predicting frequency distribution and influence of sociodemographic and behavioral risk factors of Schistosoma mansoni infection and analysis of co-infection with intestinal parasites , Geospatial Health: Vol. 10 No. 1 (2015)
- Mohamed R. Habib, Yun-Hai Guo, Shan Lv, Wen-Biao Gu, Xiao-Heng Li, Xiao-Nong Zhou, Predicting the spatial distribution of Biomphalaria straminea, a potential intermediate host for Schistosoma mansoni, in China , Geospatial Health: Vol. 11 No. 3 (2016)
- Amanda Gabriela de Carvalho, João Gabriel Guimarães Luz, João Victor Leite Dias, Anuj Tiwari, Peter Steinmann, Eliane Ignotti, Hyperendemicity, heterogeneity and spatial overlap of leprosy and cutaneous leishmaniasis in the southern Amazon region of Brazil , Geospatial Health: Vol. 15 No. 2 (2020)
You may also start an advanced similarity search for this article.
