Epidemiological study of dengue (serotypes1-4), Zika e Chikungunya in a cohort of São José do Rio Preto, Sao Paulo, Brazil: analysis of the first wave results

• Grant number: 17/09671-6
• Support type: Scholarships abroad - Research
• Effective date (Start): August 14, 2017
• Effective date (End): February 13, 2018
• Field of knowledge: Health Sciences - Collective Health
• Principal Investigator: Francisco Chiaravalloti Neto
• Grantee: Francisco Chiaravalloti Neto
• Host: Marta Blangiardo
• Home Institution: Faculdade de Saúde Pública (FSP). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Local de pesquisa : Imperial College London, England
• Associated research grant: 13/21719-3 - Epidemiological study of dengue (serotypes1-4) in a cohort of São José do Rio Preto, São Paulo, Brazil, during 2014-2018, AP.TEM

Abstract

The present proposal links with the thematic project titled "Epidemiological study of Dengue (serotypes1-4), Zika and Chikungunya in a cohort of São José do Rio Preto, São Paulo, Brazil" (FAPESP Process # 2013/21719-3). The main goal of this proposal is to study the obtained data of the first wave of the thematic project that was developed in 2016 (results of laboratorial tests, of questionnaires and mosquito adult collections). The specific objectives are to measure and map the prevalence of dengue, zika and chikungunya occurrence in the study area; to evaluate the relationship between these prevalence and individual and context covariates; to measure and map in space and time the vector infestation; and to evaluate the relationship between the vector infestation and the dengue, zika and chikungunya prevalence. Since these phenomena were measured in space (dengue, zika and chikungunya) and space and time (vector infestation), it will be necessary to allow for correlation in space and time. In this sense, the hierarchical approach is the most appropriate way to take into account the spatial and temporal dependency of the study phenomena. Furthermore, if the zero proportions are substantial, it will be necessary to consider zero-inflated distributions. Spatial, temporal and spatio-temporal dependency and zero-inflated distribution will be considered in a Bayesian context and with the use of a recently developed approach named as INLA (Integrated Nested Laplace Approximations) that provides computationally fast and accurate results.

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

CHIARAVALLOTI-NETO, FRANCISCO; DA SILVA, RAFAEL ALVES; ZINI, NATHALIA; DUTRA DA SILVA, GISLAINE CELESTINO; DA SILVA, NATAL SANTOS; PEREIRA PARRA, MAISA CARLA; DIBO, MARGARETH REGINA; ESTOFOLETE, CASSIA FERNANDA; FAVARO, ELIANE APARECIDA; DUTRA, KARINA ROCHA; OLIVEIRA MOTA, MANLIO TASSO; GUIMARAES, GEORGIA FREITAS; BERNARDES TERZIAN, ANA CAROLINA; BLANGIARDO, MARTA; NOGUEIRA, MAURICIO LACERDA. Seroprevalence for dengue virus in a hyperendemic area and associated socioeconomic and demographic factors using a cross-sectional design and a geostatistical approach, state of SAo Paulo, Brazil. BMC INFECTIOUS DISEASES, v. 19, MAY 20 2019. Web of Science Citations: 0.