SERGIO ROBERTO DE SOUZA LEAO DA COSTA CAMPOS
Projetos de Pesquisa
Unidades Organizacionais
Departamento de Medicina Preventiva, Faculdade de Medicina
LIM/38 - Laboratório de Epidemiologia e Imunobiologia, Hospital das Clínicas, Faculdade de Medicina
LIM/38 - Laboratório de Epidemiologia e Imunobiologia, Hospital das Clínicas, Faculdade de Medicina
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conferenceObject A COHORT STUDY TO DETERMINE THE INCIDENCE OF ZIKA VIRUS INFECTION AMONG NEWBORNS, SANTOS, BRAZIL, 2016-2017(2017) LUNA, Expedito J.; ROMANO, Camila M.; ARAUJO, Evaldo S.; LEVI, Jose E.; OLIVEIRA, Olimpia N.; FERNANDES, Luis R.; FELIX, Alvina C.; SOUZA, Nathalia S.; FERNANDES, Joao H.; CAMPOS, Sergio R.; FRAGOSO, Danielli B.; PANNUTI, Claudio S.- A cohort study to assess the incidence of dengue, Brazil, 2014-2018(2020) LUNA, Expedito J. A.; FIGUEIREDO, Gerusa M.; LEVI, Jose E.; CAMPOS, Sergio R. S. L. C.; FELIX, Alvina Clara; SOUZA, Nathalia Santiago E; FIGUEIREDO, Walter M.; COSTA, Angela A.; CARDOSO, Maria R. A.; PANNUTI, Claudio S.The present cohort study was set up with the aim of determining the incidence of dengue among children and adolescents, from 2 to 16 years of age, living in Araraquara, South-Eastern Brazil, a city classified as a mid-level endemicity location for dengue. Enrollment took place from September 2014 to March 2015. Baseline socio-demographic data were collected, and a blood sample from the participant was drawn, for dengue serology. Families were contacted weekly for fever surveillance. If the child developed fever, a nurse visited the household to collect a blood sample. PCR, NS1 and IgM were used for dengue diagnosis. Parents or legal guardians of participating children provided a written informed consent. 3,514 children and adolescents were enrolled in the cohort. Dengue baseline seroprevalence was 12.2% (95%CI: 11.1 - 13.3). The incidence density of symptomatic dengue was 8.94 per 100 person/years in the first year of follow-up, 0.58 in the second, and 0.19 in the fourth. No cases were confirmed in the third year. Incidence was associated with age, sex, baseline seroprevalence and with living in a house as opposed to an apartment. This study provides relevant information on the epidemiology of dengue in mid-level transmission settings that may be useful to policymakers in the evaluation of control strategies.
conferenceObject RE-EMERGENCE OF DENV-2 IN THE STATE OF SAO PAULO, BRAZIL(2019) LUNA, Expedito J.; FIGUEIREDO, Gerusa M.; CAMPOS, Sergio R.; LEVI, Jose E.; FIGUEIREDO, Walter M.; COSTA, Angela A.; FELIX, Alvina C.; SOUZA, Nathalia S.; PANNUTI, Claudio S.conferenceObject ESTIMATING THE UNDERREPORTING OF DENGUE CASES, ARARAQUARA, BRAZIL, 2015(2017) LUNA, Expedito J.; FIGUEIREDO, Gerusa M.; CAMPOS, Sergio R.; LEVI, Jose E.; FIGUEIREDO, Walter M.; COSTA, Angela A.; FELIX, Alvina C.; SOUZA, Nathalia S.; CARDOSO, Maria R.; PANNUTI, Claudio S.conferenceObject INAPPARENT DENGUE VIRUS INFECTION INCIDENCE, SAO PAULO, BRAZIL, 2014-2015(2017) LUNA, Expedito J.; FIGUEIREDO, Gerusa M.; CAMPOS, Sergio R.; LEVI, Jose E.; FIGUEIREDO, Walter M.; COSTA, Angela A.; FELIX, Alvina C.; SOUZA, Ana C.; SOUZA, Nathalia C.; CARDOSO, Maria R.; PANNUTI, Claudio S.conferenceObject DENGUE COHORT STUDY, ARARAQUARA, BRAZIL, 2015, BASELINE SEROPREVALENCE(2015) LUNA, Expedito J.; FIGUEIREDO, Gerusa M.; LEVI, Jose E.; FIGUEIREDO, Walter M.; COSTA, Angela A.; CAMPOS, Sergio R.; FELIX, Alvina C.; SOUZA, Ana C.; SOUZA, Nathalia C.; CARDOSO, Maria R.; PANNUTI, Claudio S.- Comparison of clinical tools for dengue diagnosis in a pediatric population-based cohort(2019) DIAZ-QUIJANO, Fredi A.; FIGUEIREDO, Gerusa M.; WALDMAN, Eliseu A.; FIGUEIREDO, Walter M.; CARDOSO, Maria R. A.; CAMPOS, Sergio R. C.; COSTA, Angela A.; PANNUTI, Claudio S.; LUNA, Expedito J. A.Background We aimed to estimate and compare the ability of clinical tools for dengue diagnosis in a pediatric population. Methods We prospectively evaluated episodes of acute febrile syndrome identified during the follow-up of a population-based cohort of children and adolescents residing in a dengue endemic city. We estimated the area under the receiver operating characteristic curve (AU-ROC) for dengue diagnosis of three clinical tools: the summation of manifestations of the WHO case definition, a predefined clinical scale and a logistic regression model obtained in this study. Results We compared 219 dengue cases (confirmed by laboratory) and 286 patients with other febrile illnesses. In a multiple model, variables independently associated with dengue included the duration of fever, sleepiness and exanthema. Rhinorrhea, cough and minimal leukocyte count were inversely associated with dengue. This model reached an accuracy of 84.2% (for a cut-off of >0.5, sensitivity: 79.5%, specificity: 87.9%, positive predictive value: 83.7%, negative predictive value: 84.6%). The AU-ROC of this model (89.8%) was significantly higher than that obtained with either the predefined scale (82.1%) or the WHO definition manifestations (77%). Conclusion We validated a predefined scale and identified a multiple model suitable for the clinical diagnosis of dengue in the pediatric population.
- A spatial case-control study on symptomatic and inapparent primary dengue infections in an endemic city in Brazil(2024) FIGUEIREDO, Gerusa; CHIARAVALLOTI, Francisco; CAMPOS, Sergio; PELLINI, Alessandra Cristina Guedes; FELIX, Alvina Clara; LUNA, ExpeditoWe conducted a spatial case-control study nested in a dengue incidence cohort to explore the role of the spatial and socioeconomic factors in the proportion of symptomatic (cases) and inapparent primary dengue virus infections (controls). Cohort participants were children and adolescents (2 to 16 years of age) at the beginning of the follow-up. Case definitions were, for symptomatic cases, fever plus a positive lab result for acute dengue (NS1, RT-PCR, ELISA IgM/IgG), and for inapparent infection a positive result for dengue IgG (ELISA) in subjects without symptoms and with a previously negative result at baseline. The covariates included sociodemographic factors, residential location, and socioeconomic context variables of the census tracts of residence of cases and controls. We used principal component analysis to reduce the contextual covariates, with the component values assigned to each one based on their residences. The data were modeled in a Bayesian context, considering the spatial dependence. The final sample consisted of 692 children, 274 cases and 418 controls, from the first year of follow-up (2014-2015). Being male, older age, higher educational level of the head of the family and having a larger number of rooms in the household were associated with a greater chance of presenting dengue symptomatic infection at the individual level. The contextual covariates were not associated with the outcome. Inapparent dengue infection has extensive epidemiological consequences. Relying solely on notifications of symptomatic dengue infections underestimates the number of cases, preserves a silent source of the disease, potentially spreading the virus to unaffected areas.