Incidence and spatial distribution of cases of dengue, from 2010 to 2019

an ecological study

Autores

Palavras-chave:

Environmental health, Arbovirus infection, Severe dengue, Dengue virus, Epidemiology

Resumo

BACKGROUND: Dengue is an arbovirus that has caused serious problem in Brazil, putting the public health system under severe stress. Understanding its incidence and spatial distribution is essential for disease control and prevention. OBJECTIVE: To perform an analysis on dengue incidence and spatial distribution in a medium-sized, cool-climate and high-altitude city. DESIGN AND SETTING: Ecological study carried out in a public institution in the city of Garanhuns, Pernambuco, Brazil. METHODS: Secondary data provided by specific agencies in each area were used for spatial analysis and elaboration of kernel maps, incidence calculations, correlations and percentages of dengue occurrence. The Geocentric Reference System for the Americas (Sistema de Referência Geocêntrico para as Américas, SIRGAS), 2000, was the software of choice. RESULTS: The incidence rates were calculated per 100,000 inhabitants. Between 2010 and 2019, there were 6,504 cases and the incidence was 474.92. From 2010 to 2014, the incidence was 161.46 for a total of 1,069 cases. The highest incidence occurred in the period from 2015 to 2019: out of a total of 5,435 cases, the incidence was 748.65, representing an increase of 485.97%. Population density and the interaction between two climatic factors, i.e. atypical temperature above 31 °C and relative humidity above 31.4%, contributed to the peak incidence of dengue, although these variables were not statistically significant (P > 0.05). CONCLUSION: The dengue incidence levels and spatial distribution reflected virus and vector adjustment to the local climate. However, there was no correlation between climatic factors and occurrences of dengue in this city.

Downloads

Não há dados estatísticos.

Biografia do Autor

Petrúcio Luiz Lins de Morais, Universidade de Pernambuco

BSc. Assistant Professor, Department of Biological Sciences, Universidade de Pernambuco (UPE), Garanhuns (PE), Brazil.

Priscila Mayrelle Silva Castanha, Universidade de Pernambuco

MSc, PhD. Research Collaborator, School of Medical Sciences, Institute of Biological Sciences, Universidade de Pernambuco (UPE), Recife (PE), Brazil.

Ulisses Ramos Montarroyos, Universidade de Pernambuco

BSc. Adjunct Professor, School of Medical Sciences, Institute of Biological Sciences, Universidade de Pernambuco (UPE), Recife (PE), Brazil.

Referências

Stephenson JR. Understanding dengue pathogenesis: implications for vaccine design. Bull World Health Organ. 2005;83(4):308-14. PMID: 15868023.

Harris E, Videa E, Pérez L, et al. Clinical, epidemiologic, and virologic features of dengue in the 1998 epidemic in Nicaragua. Am J Trop Med Hyg. 2000;63(1-2):5-11. PMID: 11357995; https://doi.org/0.4269/ajtmh.20010.63.5

Donalisio MR, Glasser CM. Entomological surveillance and dengue vector control. Rev Bras Epidemiol. 2002;5(3):259-79. https://doi.org/10.1590/S1415-790X2002000300005

Souza JL. Dengue, zika e chikungunya, Diagnóstico, tratamento e prevenção. Rio de Janeiro: Rubio; 2017.

Araújo VEM, Bezerra JMT, Amâncio FF, Passos VMA, Carneiro M. Increase in the burden of dengue in Brazil and federated units, 2000 and 2015: analysis of the Global Burden of Disease Study. Rev Bras Epidemiol. 2017;20(Suppl 01):205-16. PMID: 28658384; https://doi.org/10.1590/1980-5497201700050017

Singhi S, Kissoon N, Bansal A. Dengue and hemorrhagic dengue: aspects of management in the intensive care unit. J. Pediatr. 2007;83(2). https://doi.org/10.1590/S0021-75572007000300004

Osanai CH, Travassos da Rosa AP, Tang AT, et al. Dengue outbreak in Boa Vista, Roraima. Preliminary report. Rev Inst Med Trop São Paulo. 1983;25(1):53-4. PMID: 6879054.

Castanha PM, Cordeiro MT, Martelli CM, et al. Force of infection of dengue serotypes in a population-based study in the northeast of Brazil. Epidemiol Infect. 2013;141(5):1080-8. PMID: 22800513; https://doi.org/10.1017/S0950268812001367

Cordeiro MT, Schatmayr HG, Nogueira RM, et al. Dengue and dengue hemorrhagic fever in the state of Pernambuco, 1995-2006. Rev Soc Bras Med Trop. 2007;40(6):605-11. PMID: 18200409; https://doi.org/10.1590/s0037-86822007000600001

Ministério da Saúde, Secretaria de Vigilância em Saúde. Boletim epidemiológico. 2019;50(22). Available from: https://www.saude.gov.br/images/pdf/2019/setembro/11/BE-arbovirose-22.pdf Accessed in 2020 (Apr 29).

Pan-American Health Organization/ World Health Organization. Epidemiological Update: Dengue. Washington, D.C.: PAHO/WHO; 2019. Available from: https://www.paho.org/hq/index.php?option=com_docman&view=download&category_slug=dengue-2217&alias=50321-13-september-2019-dengue-epidemiological-update&Itemid=270⟨=en. Accessed in 2020 (Apr 29).

Agência Pernambucana de Águas e Clima (APAC). Available from: www.apac.pe.gov.br Accessed in 2020 (Apr 29).

Instituto Nacional de Meteorologia (INMET). Available from: www.inmet.gov.br Accessed in 2020 (Apr 29).

Instituto Brasileiro de Geografia e Estatística (IBGE). Available from: http://www.ibge.gov.br/home/ Accessed in 2020 (Apr 29).

Sinan Dengue/Chikungunya. Available from: www.portalsinan.saude.gov.br/sinan-dengue-chikungunya Accessed in 2020 (Apr 29).

Bessa Júnior FN, Nunes RF, de Souza MA, et al. Spatial distribution of dengue disease in municipality of Mossoró, Rio Grande do Norte, using the Geographic Information System. Rev Bras Epidemiol. 2013;16(3):603-10. PMID: 24896274; https://doi.org/10.1590/s1415-790x2013000300005

Marinho RA, Beserra EB, Bezerra-Gusmão MA, et al. Effects of temperature on the life cycle, expansion, and dispersion of Aedes aegypti (Diptera: Culicidae) in three cities in Paraíba, Brazil. J Vector Ecol. 2016; 41(1):1-10. PMID: 27232118; https://doi.org/10.1111/jvec.12187

Magalhães GB, Zanella ME. The variability climate and frequency of dengue in Fortaleza, CE, Brazil. Rev Eletrônica do Prodema [Internet]. 2015;9(1):35-50. Available from: www.revistarede.ufc.br/rede/article/view/296/71 Accessed in 2020 (Apr 29).

Pinho de Carvalho AC, Couto Portela F, Azevedo Feitosa Ferro T, Quaresma Bomfim MR. Epidemiology of dengue virus from 2002 to 2012 in São Luís, Maranhão State, Brazil. Revista De Patologia Tropical/Journal of Tropical Pathology. 2016;45(3):243-55. https://doi.org/10.5216/rpt.v45i3.43503

Júnior CJS, Silva JP. Epidemiologia, fatores climáticos e distribuição espacial da dengue em uma capital do nordeste do Brasil. Revista Brasileira de Climatologia. 2019;15(25):755-68. https://doi.org/10.5380/abclima.v25i0.69421

Malik A, Yasar A, Tabinda AB, et al. Assessing spatio-temporal trend of vector breeding and dengue fever incidence in association with meteorological conditions. Environ Monit Assess. 2017;189(4):189. PMID: 28353206; https://doi.org/10.1007/s10661-017-5902-x

Araujo RV, Albertini MR, Costa-da-Silva AL, et al. São Paulo urban heat islands have a higher incidence of dengue than other urban areas. Braz J Infect Dis. 2015;19(2):146-55. PMID: 25523076; https://doi.org/10.1016/j.bjid.2014.10.004

Heinisch MRS, Diaz-Quijano FA, Chiaravalloti-Neto F, et al. Seasonal and spatial distribution of Aedes aegypti and Aedes albopictus in a municipal urban park in São Paulo, SP, Brazil. Acta Trop. 2019;189:104-13. PMID: 30282003; https://doi.org/10.1016j.actatropica.2018.09.011

Misslin R, Vaguet Y, Vaguet A, Daudé É. Estimating air temperature using MODIS surface temperature images for assessing Aedes aegypti thermal niche in Bangkok, Thailand. Environ Monit Assess. 2018;190(9):537. PMID: 30132225; https://doi.org/10.1007/s10661-018-6875-0

Huber JH, Childs ML, Caldwell JM, Mordecai EA. Seasonal temperature variation influences climate suitability for dengue, chikungunya, and zika transmission. PLoS Negl Trop Dis. 2018;12(5):0006451. PMID: 29746468; https://doi.org/10.1371/journal.pntd.0006451

Carneiro MAF, Alves BDCA, Gehrke FS, et al. Environmental factors can influence dengue reported cases. Rev Assoc Med Bras (1992). 2017;63(11):957-61. PMID: 29451659; https://doi.org/10.1590/1806-9282.63.11.957

Tsai PJ, Lin TH, Teng HJ, Yeh HC. Critical low temperature for the survival of Aedes aegypti in Taiwan. Parasit Vectors. 2018;11(1):22. PMID: 29310716; https://doi.org/10.1186/s13071-017-2606-6

Valadares AF, Rodrigues C. Filho J, Peluzio JM. Impacto da dengue em duas principais cidades do Estado do Tocantins: infestação e fator ambiental (2000 a 2010) [Impact of dengue in two major cities of the state of Tocantins: infestation and environmental factors (2000-2010)]. Epidemiol Serv Saude. 2013;22(1):59-66. https://doi.org/10.5123/S1679-49742013000100006

Oliveira AFM, Sousa ALL, Silva RC, Carmo Filho JR. Estudo Ecológico da Dengue em Araguaína-TO entre 2001 e 2010. Estudos Goiânia. 2016;42(4):517-26. Available from: http://seer.pucgoias.edu.br/index.php/estudos/article/download/4370/2505 Accessed in 2020 (Sep 24).

Mala S, Jat MK. Implications of meteorological and physiographical parameters on dengue fever occurrences in Delhi. Sci Total Environ. 2019;650(Pt 2):2267-83. PMID: 30292120; https://doi.org/10.1016/j.scitotenv.2018.09.357

Jing Y, Wang X, Tang S, Wu J. Data informed analysis of 2014 dengue fever outbreak in Guangzhou: Impact of multiple environmental factors and vector control. J Theor Biol. 2017;416:161-79. PMID: 28039013; https://doi.org/10.1016/j.jtbi.2016.12.014

Pakhare A, Sabde Y, Joshi A, et al. A study of spatial and meteorological determinants of dengue outbreak in Bhopal City in 2014. J Vector Borne Dis. 2016;53(3):225-33. PMID: 27681545.

Choi Y, Tang CS, Mclver L, et al. Effects of weather factors on dengue fever incidence and implications for interventions in Cambodia. BMC Public Health. 2016;16:241. PMID: 26955944; https://doi.org/10.1186/s12889-016-2923-2

Brito CA, Brito CC, Oliveira AC, et al. Zika in Pernambuco: rewriting the first outbreak. Rev Soc Bras Med Trop. 2016;49(5):553-8. PMID: 27812648; https://doi.org/10.1590/0037-8682-0245-2016

de Oliveira WK, de França GVA, Carmo EH, et al. Infection-related microcephaly after 2015 and 2016 Zika virus outbreaks in Brazil: a surveillance-based analysis. Lancet. 20173;90(10097):861-70. PMID: 28647172; https://doi.org/10.1016/S0140-6736(17)31368-5

Downloads

Publicado

2020-12-03

Como Citar

1.
Morais PLL de, Castanha PMS, Montarroyos UR. Incidence and spatial distribution of cases of dengue, from 2010 to 2019: an ecological study. Sao Paulo Med J [Internet]. 3º de dezembro de 2020 [citado 16º de outubro de 2025];138(6):554-60. Disponível em: https://periodicosapm.emnuvens.com.br/spmj/article/view/567

Edição

Seção

Artigo Original