Climatic and socio-demographic factors stand out in Ceará cities with higher incidence of arbovirosis transmitted by Aedes aegypti
DOI:
https://doi.org/10.33448/rsd-v11i10.32317Keywords:
Dengue; Aedes aegypti; Arboviroses; Ceará.Abstract
According to the literature, environmental, demographic and socioeconomic factors have contributed to the maintenance of high rates of dengue cases in Ceará. In addition, the introduction of viruses such as Chikungunya and Zika in 2014 worsened the endemic scenario. Thus, in view of the favourable conditions for endemics and the permanent need for new studies to understand the dynamic role of arbovirus infections in Ceará, the objective of this study was to evaluate factors related to the highest incidence of arboviroses in Ceará cities in 2021.This is a study based on data released by the Health Secretariat of the Government of the State of Ceará (SESA). Among the 184 municipalities of Ceará, the ten cities with higher and lower incidence of arboviroses transmitted by Aedes aegypti in 2021 were selected, generating two groups and, therefore, the variables population density, rainfall, temperature, human development index (HDI), education, income, infant mortality, health facility, number of doctors, availability of drinking water, sanitation and household waste collection were analyzed. The data collected were analysed in the PRIZMA programme. The results revealed that the ten municipalities with the highest incidence of cases of arbovirosis present significantly higher population concentration, average and minimum temperatures, HDI, income, infant mortality, number of health establishments, number of physicians, sanitation rate, and solid waste collection when compared with the ten municipalities with the lowest incidence. However, there was no difference between the groups when maximum temperature and rainfall were evaluated. Therefore, we suggest that agencies and secretariats related to dengue control, as well as the community intensify their actions not only during the rainy season, but also act throughout the year, since other factors contribute to the increase in cases of arbovirosis in the cities of Ceará.
References
Almeida, C. A. P., & Silva, R. M. (2017). Modelagem espacial dos casos de dengue e variáveis socioambientais em João Pessoa, Cabedelo e Bayeux, Paraíba. Revista Brasileira de Geografia Física, 10(05), 1455-1470.
Arantes, K. M. (2017) Análise da efetividade das ações de controle da dengue no munícipio de Uberlândia, MG a partir da matriz FPEEEA (master’s thesis). Uberlândia: Instituto de Geografia, Universidade Federal de Uberlândia;
Araujo, R. V., Albertini, M. R., Costa-da-Silva, A. L., Suesdek, L., Franceschi, N. C., Bastos, N. M., Katz, G., Cardoso, V. A., Castro, B. C., Capurro, M. L., & Allegro, V. L. (2015). São Paulo urban heat islands have a higher incidence of dengue than other urban areas. Braz J Infect Dis.19(2):146-155.10.1016/j.bjid.2014.10.004.
Baia, S. S. V. (2014). Estudo das relações entre as variáveis ambientais e a incidência de dengue nos municípios de Santarém, Tucuruí e Bragança (Pará), no período Janeiro de 2007 a julho de 2011 (master’s thesis). Belém: Núcleo de Medicina Tropical, Universidade Federal do Pará;
Barcellos, C., & Lowe, R. (2014). Expansion of the dengue transmission area in Brazil: the role of climate and cities. Trop Med Int Health. 19, 159–68.
Bhatt, S., Gething, P. W., Brady, O. J., Messina, J. P., Farlow, A. W., Moyes, C. L., Drake, J. M., Brownstein, J. S., Hoen, A. G., Sankoh, O., Myers, M. F., George, D. B., Jaenisch, T., Wint, G. R. W., Simmons, G. P., Scott, T. W., Farrar, J. J., & Hay, S. I. (2013). The global distribution and burden of dengue. Nature. 496(7446):504–7.
Braga, D. A. O., Barreto, F. K. A., Paiva, C. N., Ramalho, I. L. C., Cavalcanti, L. P. G., & Alencar, C. H. (2021). Seroepidemiological survey on chikungunya in endemic zones for arboviruses in Brazil, 2019. Zoonoses Public Health. 68(8):955-964. 10.1111/zph.12888.
Brasil (2009). Ministério da Saúde. Diretrizes Nacionais para a Prevenção e Controle de Epidemias de Dengue. Brasília, DF.
Câmara, F. P., Gomes, A. F., Santos, G. T., & Câmara, D. C. (2009). Clima e epidemias de dengue no Estado do Rio de Janeiro. Rev Soc Bras Med Trop. 42(2): 137-40.
Carabali, M., Harper, S., Lima Neto, A. S., Dos Santos de Sousa, G., Caprara, A., Restrepo, B. N., & Kaufman, J. S. (2021). Spatiotemporal distribution and socioeconomic disparities of dengue, chikungunya and Zika in two Latin American cities from 2007 to 2017. Trop Med Int Health. 2021;26(3):301-315.10.1111/tmi.13530.
Cavalcanti, L. P. G., Barreto, F. K. A., Oliveira, R. M. A. B., Canuto, I. F. P., Lima, A. A. B., Lima, J. W. O., Escóssia, K. N. F., Martins, V. E. P., Alencar, C. H., Perdigão, A. C. B., Lima, D. M., Ramalho, I. L. C., & Araújo, F. M. C. (2018). Thirty years of dengue in Ceará: History, contributions to science and challenges in the current scenario with triple arbovirus circulation. Journal of Health & Biological Sciences, 6(1), 65–82. https://doi.org/10.12662/2317-3076jhbs.v6i1.1415.p65-82.2018
Catão, R. de C. Dengue no Brasil: abordagem geográfica na escala nacional. 2011. 169 f. Dissertação (Mestrado em Geografia) – Faculdade de Ciência e Tecnologia, Universidade Estadual Paulista, Presidente Prudente. 2011.
Cavalcanti, L. P., Góes., Escóssia, K. N. F., Simião, A. R., Linhares, P. M. C., Lima, A. A. B., Lopes, K. W., Braga, D. N. M., Ramalho, I. L. C., Mello, L. M. S, Vale, R. L. S., Barreto, F. K. A., Oliveira, R. M. A. B., Lima Neto, A. S., & Araújo, F. M. C. (2019). Experiência do Comitê de Investigação de Óbitos por Arboviroses no Ceará em 2017: avanços e desafios. Epidemiologia e Serviços de Saúde, 28(3), e2018397. Epub 21 de outubro de 2019. https://dx.doi.org/10.5123/s1679-49742019000300011
Cerqueira, V., & Francisco (2022). Aspectos naturais do Ceará. https://brasilescola.uol.com.br/brasil/aspectos-naturais-ceara.htm
Chahad-Ehlers, S., Gentile, C., Lima, J. B., Peixoto, A. A., & Bruno, R. V. (2013). Analysis of cycle gene expression in Aedes aegypti brains by in situ hybridization. PloS one. 8(1):e52559. 10.1371/journal.pone.
Choi, Y., Tang, C. S., McIver, L., Hashizume, M., Chan, V., Abeyasinghe, R.R., Iddings, S., & Huy, R. (2016). Efects of weather factors on dengue fever incidence and implications for interventions in Cambodia. BMC Public Health.m16(241). https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-016-2923-2.
Climatempo (2022). Clima e Previsão do tempo agora: Meteorologia Climatempo. https://www.climatempo.com.br/
Costa, A. (2022). Saiba quais cidades e regiões cearenses receberam os maiores e menos volumes de chuvas em 2021. https://diariodonordeste.verdesmares.com.br/regiao/saiba-quais-cidades-e-regioes-cearenses-receberam-os-maiores-e-menores-volumes-de-chuvas-em-2021-1.3175859
Costa, S. D. S. B., Branco, M. D. R. F. C., Aquino Junior, J., Rodrigues, Z. M. R., Queiroz, R. C. S., Araujo, A. S., Câmara, A. P. B., Santos, P. S. D., Pereira, E. D. A., Silva, M. D. S. D., Costa, F. R. V. D., Santos, A. V. D. D., Medeiros, M. N. L., Alcântara Júnior, J. O., Vasconcelos, V. V., Santos, A. M. D., & Silva, A. A. M. D. (2018). Spatial analysis of probable cases of dengue fever, chikungunya fever and zika virus infections in Maranhao State, Brazil [published correction appears in Rev Inst Med Trop Sao Paulo.Dec 10;60:e62err]. Rev Inst Med Trop Sao Paulo.60:e62.10.1590/S1678-9946201860062.
de Castro, D. B., Sampaio, V. S., de Albuquerque, B. C., Pinto, R. C., Sadahiro, M., Dos Passos, R. A., da Costa, C. F., & Braga, J. U. (2018). Dengue epidemic typology and risk factors for extensive epidemic in Amazonas state, Brazil, 2010-2011. BMC Public Health.18:356.
de Sousa, S. C., Carneiro, M., Eiras, Á. E., Bezerra, J. M. T., & Barbosa, D. S. (2021). Factors associated with the occurrence of dengue epidemics in Brazil: a systematic review. Rev Panam Salud Publica. 45:e84. Published 2021 Aug 6.10.26633/RPSP.2021.84
do Carmo, R. F., Silva Júnior, J. V. J., Pastor, A. F., & de Souza, C. D. F. (2020). Spatiotemporal dynamics, risk areas and social determinants of dengue in Northeastern Brazil, 2014-2017: an ecological study. Infect Dis Poverty. 9(1):153. Published 2020 Nov 3.10.1186/s40249-020-00772-6.
do Nascimento, I. D. S., Pastor, A. F., Lopes, T. R. R., Farias, P. C. S., Gonçales, J. P., do Carmo, R. F., Durães-Carvalho, R., da Silva, C. S., & Silva Júnior, J. V. J. (2020). Retrospective cross-sectional observational study on the epidemiological profile of dengue cases in Pernambuco state, Brazil, between 2015 and 2017. BMC Public Health. 20(1):923. Published 2020 Jun 12.10.1186/s12889-020-09047-z.
Favier, C., Degallier, N., Vilarinhos, Pde T., de Carvalho, Mdo. S., Yoshizawa, M. A., & Knox, M. B. (2006). Effects of climate and different management strategies on Aedes aegypti breeding sites: a longitudinal survey in Brasília (DF, Brazil). Trop Med Int Health, 11(7), 2006, 1104-1118.
Ferreira, A. C. Epidemiologia espacial da Dengue em Araraquara, São Paulo, 2008 a 2015 (dissertation). Araraquara: Faculdade de Ciências Farmacêuticas. 2017.
G1 CE (2019). Ceará tem o terceiro maior volume de chuva dos últimos 20 anos. https://g1.globo.com/ce/ceara/noticia/2019/05/24/ceara-tem-o-terceiro-maior-volume-de-chuva-dos-ultimos-20-anos.ghtml
Gentile, C., Rivas, G. B., Lima, J. B., Bruno, R. V., & Peixoto, A. A. (2013) Circadian clock of Aedes aegypti: effects of blood-feeding, insemination and RNA interference. Mem Inst Oswaldo Cruz. 108 Suppl 1:80–7. 10.1590/0074-0276130471.
Governo do Estado do Ceará (2022). 2022 inicia com situação hídrica controlada e com expectativa de chuvas. https://www.ceara.gov.br/2022/01/03/2022-inicia-com-situacao-hidrica-controlada-e-com-expectativa-de-chuvas/
Gubler, D. J. (2011). Dengue, urbanization and globalization: the unholy trinity of the 21st century. Trop Med Health.39(Suppl 4):3–11.
Hau, V. P., Huong, T. M. D., Thao, T. T. P., & Nguyen, N. T. M. (2011). Ecological factors associated with dengue fever in a central highlands Province, Vietnam. BMC Infect Dis. 11(172).
Hii, Y. L., Zhu, H., Ng, N., Ng, L. C., & Rocklöv, J. (2012). Forecast of dengue incidence using temperature and rainfall. PLOS Negl TropDis. .https://doi.org/10.1371/journal.pntd.0001908.
Honorato, T., Lapa, P. P., Sales, C. M., Reis-Santos, B., Tristão-Sá, R., Bertolde, A. I., & Maciel, E. L. (2014). Spatial analysis of distribution of dengue cases in Espírito Santo, Brazil, in 2010: use of Bayesian model. Rev Bras Epidemiol. 17:150–9.
Honório, N. A., Codeço, C. T., Alves, F. C., Magalhães, M. A., & Lourenço-De-Oliveira, R. Temporal distribution of Aedes aegypti in different districts of Rio de Janeiro, Brazil, measured by two types of traps. J Med Entomol, 46(5), 1001-1114.
Instituto Brasileiro de Geografia e Estatística (2022). Ceará | Cidades e Estados | IBGE. https://www.ibge.gov.br/cidades-e-estados/ce/
Instituto de Pesquisa e Estratégia Econômica do Ceará (2022). Ceará em Mapas. http://www2.ipece.ce.gov.br/atlas/
MacCormack-Gelles, B., Neto, A. S. L., Sousa, G. S., Nascimento, O. J., Machado, M. M., Wilson, M. E., & Castro, M. C. (2018). Epidemiological characteristics and determinants of dengue transmission during epidemic and non-epidemic years in Fortaleza, Brazil: 2011–2015. PLoS Negl Trop Dis. 2:e0006990.
Massad, E., Coutinho, F. A. B., Lopez, L. F., & Da Silva, D. R. (2011). Modeling the impact of global warming on vector-borne infections. Physics of Life Reviews, 8(2), 169-199.
Martins, M. M. F., Almeida, A. M. F. L., Fernandes, N. D. R., Silva, L. S., Lima, T. B., Orric, A. S., & Ribeiro, H. L. Jr. (2015). Análise dos aspectos epidemiológicos da dengue na microrregião de saúde de Salvador, Bahia, no período de 2007 a 2014. Espaç Saúde.16(4):64-73.
Miyazaki, R. D., Ribeiro, A. L., Pignatti, M. G., Campelo, J. H., & Pignati, M. (2009). Monitoring of Aedes aegypti mosquitoes (Linnaeus, 1762) (Diptera: Culicidae) by means of ovitraps at the Universidade Federal de Mato Grosso Campus, Cuiabá, State of Mato Grosso. Rev Soc Bras Med Trop, 42(4), 2009, 392-397.
Monteiro, D. C. S., Souza, N. V., Amaral, J. C., Lima, K. B., Araújo, F. M. C., Ramalho, I. L. C., Martins, V. E. P., Colares, J. K. B., Cavalcanti, L. P. G., & Lima, D. M. (2019). Dengue: 30 years of cases in an endemic area. Clinics (Sao Paulo).74:e675.10.6061/clinics/2019/e675.
Monteiro, E. S. C., Coelho, M. E., da Cunha, I. S., Cavalcante, M. A. S., & Carvalho, F. A. A. (2009). Aspectos epidemiológicos e vetoriais da dengue na cidade de Teresina, Piauí – Brasil, 2002 a 2006. Epidemiol Serv Saúde.18(4): 365-74.
Monteiro, V. B., & Araújo, J. A. (2020). Socioeconomic and climate aspects that impact the dengue occurrence in Brazil: municipal analysis of 2008 to 2011 by quantile regression for panel data. Braz. J. of Develop., Curitiba, 6(5), p.28126-28145.10.34117/bjdv6n5-311.
Morais, S. M., & Farias, S. S. (2021). Influence of climatic variables on the epidemiological situation of dengue in the Ceará- Brazil. Research, Society and Development, [S. l.], 10(12), e181101220313, 2021. 10.33448/rsd-v10i12.20313.
Mutheneni, S. R., Morse, A. P., Caminade, C., & Upadhyayula, S. M. (2017). Dengue burden in India: recent trends and importance of climatic parameters. Emerging microbes & infections, 6(1), 1-10.
Nakhapakorn, K., & Tripathi, N. K. (2005). An information value based analysis of physical and climatic factors afecting dengue fever and dengue haemorrhagic fever incidence. Int J Health Geogr. 4(13). http://ij-healthgeographics.biomedcentral.com/articles/10.1186/1476-072X-4-13.
Nunes, P. C. G., Daumas, R. P., Sánchez-Arcila, J. C., Nogueira, R. M. R., Horta, M. A. P., & Dos Santos, F. B. (2019). 30 years of fatal dengue cases in Brazil: a review. BMC Public Health.19(1):329. Published 2019 Mar 21.10.1186/s12889-019-6641-4.
Pinto, F. K. A. (2016). Análise espacial da distribuição dos casos de dengue no munícipio de Osasco de 2007 a 2013 (master’s thesis). São Paulo: Faculdade de Medicina Veterinária e Zootecnia, Universidade de São Paulo.
Porto, W. L., Terto, T. F., Soares, L. C., Aguiar Cardoso, A. C., Castro Alencar, V. M. de, da Silva, B. A. K., de Andrade, A. R. O., Nóbrega Neto, A. de P. R., Bezerra Pinto, A. S., Lopes Araújo, T. de S., Pereira Junior, J. L., & GarcêsT. C. de S. (2019). Cenário epidemiológico das arboviroses no Piauí. Revista Eletrônica Acervo Saúde. 11(14) | e1054,1-9.
Rodrigues, R. (2020). Ceará é 1º do Nordeste e 4º do País em geração de lixo por pessoa. https://diariodonordeste.verdesmares.com.br/regiao/ceara-e-1-do-nordeste-e-4-do-pais-em-geracao-de-lixo-por-pessoa-1.2990564
Rodrigues, N. C. P., Lino, V. T. S., Daumas, R. P., Andrade, M. K d. N., O’Dwyer, G., Monteiro, D. L. M., Gerardi, A., Fernandes, G. H., Ramos, J. A., Ferreira, C. E., & Leite, I. D. (2016) Temporal and Spatial Evolution of Dengue Incidence in Brazil, 2001-2012. PLoS ONE 11(11): e0165945.10.1371/journal.pone.0165945.
Santos, C. A. G., Guerra-Gomes, I. C., Gois, B. M., Peixoto, R. F., Keesen, T. S. L., & da Silva, R. M. (2019). Correlation of dengue incidence and rainfall occurrence using wavelet transform for João Pessoa city. Sci Total Environ.647:794 –805.
Silva, F. D., Santos, A. M., Corrêa, R. G. C. F., & Caldas, A. J. M. (2016). Temporal relationship between rainfall, temperature and occurrence of dengue cases in São Luís, Maranhão, Brazil. Cien Saude Colet. 21:641 –6.
Silva, N. S., Alves, J. M. B., Da Silva, E. M., & Lima, R. R. (2020). Appraisal of the relation between climatology, sanitary conditions (Garbage) and the occurrence of arboviroses (dengue and chikungunya) at Quixadá-Ce in the period between 2016 and 2019. Revista Brasileira de Meteorologia, 35 (3), pp. 485-492..
Sousa, W. L., Asevedo, M. D. G., Araújo, J. A., & Dias, J. M. (2017). Interação entre fatores socioeconômicos ambientais e ocorrência de casos de dengue no Ceará. Revista Espacios, Caracas, v. 38, n. 14, p. 31-41.
Struchiner, C. J., Rocklöv, J., Wilder-Smith, A., & Massad, E. (2015). Increasing dengue incidence in Singapore over the past 40 years: population growth, climate and mobility. PLoS ONE. 10:e0136286.
Teurlai, M., Menkès, C. E., Cavarero, V., Degallier, N., Descloux, E., Grangeon, J. P., Guillaumot, L., Libourel, T., Lucio, P. S., MathieuDaudé, F., & Mangeas, M. (2015). Socio-economic and climate factors associated with dengue fever spatial heterogeneity: a worked example in New Caledonia. PLOS Negl Trop Dis. https://doi.org/10.1371/journal.pntd.0004211.
Tong, M. X., Hansen, A., Hanson-Easey, S., Xiang, J., Cameron, S., Liu, Q., Liu, X., Sun, Y., Weinstein, P., Han, G. S., Williams, C., & Bi, P. (2016). Perceptions of capacity for infectious disease control and prevention to meet the challenges of dengue fever in the face of climate change: a survey among CDC staf in Guangdong Province, China. Environ Res. 148:295–302.
Tseng, Y. T., Chang, F. S., Chao, D. Y., & Lian, I. B. (2016). Re-model the relation of vector indices, meteorological factors and dengue fever. J Trop Dis. https://doi.org/10.4172/2329-891X.1000200.
Valle, D., Aguiar, R., & Pimenta, D. (2015). Lançando luz sobre a dengue. Cienc Cult. 67(3):4-5.
Vezzani, D., Velázquez, S. M., & Schweigmann, N. (2004). Seasonal pattern of abundance of Aedes aegypti (Diptera: Culicidae) in Buenos Aires city, Argentina. Memórias do Instituto Oswaldo Cruz, 99(4), 351-356.
Viana, D. V., & Ignotti, E. (2013). The ocurrence of dengue and weather changes in Brazil: a systematic review. Rev Bras Epidemiol. 16(2):240-256.10.1590/S1415-790X2013000200002.
Vilibic-Cavlek, T., Barbic, L., Mrzljak, A., Brnic, D., Klobucar, A., Ilic, M., Janev-Holcer, N., Bogdanic, M., Jemersic, L., Stevanovic, V., Tabain, I., Krcmar, S., Vucelja, M., Prpic, J., Boljfetic, M., Jelicic, P., Madic, J., Ferencak, I., & Savic V. (2021). Emerging and Neglected Viruses of Zoonotic Importance in Croatia. Pathogens. 10(73), 1-24
World Health Organization (2022). Dengue and severe dengue. https://www.who.int/news-room/fact-sheets/detail/dengue-and-severe-dengue
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Ana Carolina Rocha de Melo Leite ; Angelica Maiara Freires Rabelo; Maria Wanessa Freires Rabelo; Breno Holanda Alves; Leonardo Gomes Oliveira; Laryssa Maia Pitombeira; Marcos Victor Pinheiro Reis; Lucimary Leite de Pinho; Rodolfo de Melo Nunes
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
1) Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2) Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
3) Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
