RESUMO A dengue é um grave problema de saúde pública, principalmente em países que apresentam condições socioambientais propícias para o desenvolvimento e proliferação do seu agente transmissor. Este estudo teve como objetivo analisar a distribuição espacial da incidência da dengue no estado da Paraíba entre 2007 e 2016, avaliando a existência de dependência geográfica e sua relação com fatores socioeconômicos e ambientais. Estudo ecológico, tendo com unidade de análise os 223 municípios do estado. Utilizaram-se o Índice de Moran global e local e a estatística c de Geary para avaliar a autocorrelação espacial da dengue e a associação com variáveis socioambientais. As análises foram realizadas por meio do software estatístico R Core Team versão 3.3.2. Ao analisar a distribuição de casos de dengue nos municípios da Paraíba, pode-se identificar que a doença vem avançando e acometendo maior número de cidades a cada ano. A doença esteve presente em todos as cidades analisadas, o que demonstrou a necessidade de implementar ações de prevenção da doença em todo o estado. Mediante esta pesquisa, ficou claro que a dengue, no estado da Paraíba, não é determinada por fator único e isolado, mas sim, pela combinação de vários fatores do contexto socioeconômico e ambiental.

ABSTRACT Dengue is a serious public health problem, especially in countries that have favorable socio-environmental conditions for the development and proliferation of its transmitting agent. This study aimed to analyze the spatial distribution of the incidence of dengue in the state of Paraíba between 2007 and 2016, evaluating the existence of geographic dependence and its relationship with socioeconomic and environmental factors. Ecological study, with the unit of analysis of the 223 municipalities in the state. The global and local Moran Index and the Geary c statistic were used to assess the spatial autocorrelation of dengue and the association with socioenvironmental variables. The analyzes were performed using statistical software R Core Team version 3.3.2. When analyzing the distribution of dengue cases in the municipalities of Paraíba, it can be identified that the disease has been advancing and affecting a greater number of cities each year. The disease was present in all the cities analyzed, which demonstrated the need to implement disease prevention actions across the state. Through this research, it became clear that dengue, in the state of Paraíba, is not determined by a single and isolated factor, but, rather, by the combination of several factors of the socioeconomic and environmental context.

RESUMO A dengue é um grave problema de saúde pública, principalmente em países que apresentam condições socioambientais propícias para o desenvolvimento e proliferação do seu agente transmissor. Este estudo teve como objetivo analisar a distribuição espacial da incidência da dengue no estado da Paraíba entre 2007 e 2016, avaliando a existência de dependência geográfica e sua relação com fatores socioeconômicos e ambientais. Estudo ecológico, tendo com unidade de análise os 223 municípios do estado. Utilizaram-se o Índice de Moran global e local e a estatística c de Geary para avaliar a autocorrelação espacial da dengue e a associação com variáveis socioambientais. As análises foram realizadas por meio do software estatístico R Core Team versão 3.3.2. Ao analisar a distribuição de casos de dengue nos municípios da Paraíba, pode-se identificar que a doença vem avançando e acometendo maior número de cidades a cada ano. A doença esteve presente em todos as cidades analisadas, o que demonstrou a necessidade de implementar ações de prevenção da doença em todo o estado. Mediante esta pesquisa, ficou claro que a dengue, no estado da Paraíba, não é determinada por fator único e isolado, mas sim, pela combinação de vários fatores do contexto socioeconômico e ambiental.

ABSTRACT Dengue is a serious public health problem, especially in countries that have favorable socio-environmental conditions for the development and proliferation of its transmitting agent. This study aimed to analyze the spatial distribution of the incidence of dengue in the state of Paraíba between 2007 and 2016, evaluating the existence of geographic dependence and its relationship with socioeconomic and environmental factors. Ecological study, with the unit of analysis of the 223 municipalities in the state. The global and local Moran Index and the Geary c statistic were used to assess the spatial autocorrelation of dengue and the association with socioenvironmental variables. The analyzes were performed using statistical software R Core Team version 3.3.2. When analyzing the distribution of dengue cases in the municipalities of Paraíba, it can be identified that the disease has been advancing and affecting a greater number of cities each year. The disease was present in all the cities analyzed, which demonstrated the need to implement disease prevention actions across the state. Through this research, it became clear that dengue, in the state of Paraíba, is not determined by a single and isolated factor, but, rather, by the combination of several factors of the socioeconomic and environmental context.

ABSTRACT INTRODUCTION: Despite being the most prevalent arboviral disease worldwide, dengue has been neglected lately. However, recent epidemics of arboviruses such as Zika and chikungunya in locations throughout the world have alerted health authorities to these diseases. This study evaluated the incidence pattern of dengue, its clinical characteristics, and co-circulation of serotypes from 2007 to 2015 in Paraiba State, Northeast Brazil. METHODS: Data on dengue cases from 2007 to 2015 were extracted from clinical reports of the National System for Notifiable Diseases [Sistema Nacional de Agravos de Notificação (SINAN)] of Brazil provided by the Paraiba Health Department. Reverse transcription polymerase chain reaction (RT-PCR) assays for dengue serotypes were carried out on plasma samples obtained from patients with suspected dengue. The data were analysed using descriptive statistics. RESULTS: According to clinical features, dengue fever [n = 39,083 (70.2%)] and dengue without warning signs [n = 15,365 (27.7%)] were the most common classifications of dengue. On RT-PCR, DENV 1 was the most commonly identified serotype (80.5%) in all years studied. Co-circulation of all four DENV serotypes was observed in 2013 and 2014. Furthermore, we observed an increase in dengue notifications in 2015, possibly due to the rise of Zika and chikungunya. CONCLUSIONS: Our findings support the hypothesis that co-circulation of the four DENV serotypes may be a reason for the increased prevalence of severe forms of dengue in the years studied. This study may contribute to directing research, health policy, and financial resources toward reducing poorly controlled epidemic diseases.