Dengue Fever in Ribeirão Preto, Brazil, 2003-2012:Patterns of Disease and Understanding of Prevention.

Dengue Epidemiology;Public Health;Health Sciences;Epidemiological Science

Markon, Andre OliveiraEisenberg, Joseph Neil ;

University of Michigan

关键词: Dengue Epidemiology;    Public Health;    Health Sciences;    Epidemiological Science;   

Others  :  https://deepblue.lib.umich.edu/bitstream/handle/2027.42/110465/amarkon_1.pdf?sequence=1&isAllowed=y

瑞士|英语

来源: The Illinois Digital Environment for Access to Learning and Scholarship

【 摘 要 】

Dengue fever is the most important arboviral disease of modernity. It is caused by four serologically distinct viruses transmitted by Aedes mosquitoes.Over 2.3 million cases were reported in the Americas during 2013.More than half of the world’s population is at risk of infection and the vectors’ distributions are increasing.Current prevention strategies involve personal protection and disruption of vector breeding sites as no vaccine is available. Accordingly, it is important to understand the underlying risk factors of dengue prevention if transmission risk is to be reduced. To assess underlying risk factors, three studies were conducted using data from Ribeirao Preto, Brazil. The first characterized epidemiologic patterns of dengue surveillance data that included all reported cases in the city during 2003-2012.The second study employed a negative binomial GLM to assess the potential links between weather and dengue.Finally, a large survey was conducted in 2012 aimed at characterizing population-level knowledge of dengue. Annual dengue incidence varied considerably from <1 to almost 500 cases per 10,000 inhabitants.Incidence did not vary by sex, but was inversely associated with educational levels.Analyses suggested that 1/3 of the city population has been infected with dengue during the study period.Results from the weather study indicated that increases in minimum temperature and precipitation were associated with dengue cases lagged by 6 and 8 weeks, respectively. Results from the survey indicated that residents had general knowledge about various aspects of dengue, but that individuals with lower income and SES had lower levels of knowledge. Taken together, these three studies provide additional information that may explain the drivers of dengue transmission. It appears that many residents may be primed for more severe disease in the near future. Also, upon validation, the dengue-weather model may help officials predict and better prepare for future outbreaks. Finally, survey findings indicated a need for targeted campaigns to improve dengue knowledge amongst those at highest risk of disease.This combination of these epidemiological approaches provides a low-cost basis for assessment of multiple aspects of dengue etiology, which may be of particular interest in resource-limited locations.