Data-driven computational intelligence applied to dengue outbreak forecasting: a case study at the scale of the city of Natal, RN-Brazil.

Dengue is recognized as a health problem that causes significant socioeconomic impacts throughout the world, affecting millions of people each year. A commonly used method for monitoring the dengue vector is to count the eggs that Aedes aegypti mosquitoes have laid in spatially distributed ovitraps. Given this approach, the present study uses a database collected from 397 ovitraps allocated across the city of Natal, RN-Brazil.

[ARBOALVO: territorial stratification for definition of areas for prompt response by surveillance and timely control of urban arbovirus infections].

The study aimed to present the methodological proposal entitled "Prompt Response", modelled in the cities of Belo Horizonte (Minas Gerais State) and Natal (Rio Grande do Norte State), Brazil. The proposal aims to identify and demarcate priority areas for timely targeting of surveillance activities, aiming to reduce the intensity and velocity in the spread of epidemics in endemic urban areas. The methodology uses three variables that represent the necessary causes for the production and reproduction of dengue: notified cases (virus), Aedes eggs (vector), and population (host).

Epidemiologic and clinical investigations during a chikungunya outbreak in Rio Grande do Norte State, Brazil.

The first autochthonous case of chikungunya virus (CHIKV) infection in Brazil was in September 2014 in the State of Amapá, and from there it rapidly spread across the country. The present study was conducted in 2016 in the state of Rio Grande do Norte, and the aims were to describe the epidemiological and the clinical aspects of the CHIKV outbreak. Biological samples from 284 chikungunya suspected cases were screened for CHIKV and Flavivirus (FV) RNA using qRT-PCR.

Spatio-temporal dynamics of Aedes aegypti and Aedes albopictus oviposition in an urban area of northeastern Brazil.

Objective: The objective of this study was to analyse abundance and spatial distribution of Aedes aegypti and Aedes albopictus oviposition in the city of Natal-RN, 2016 to 2018.

Methods: Three hundred and seven oviposition traps were installed covered the whole city and were monitored weekly from January 2016 to December 2018. To verify the abundance of the vector based on its location, the formation of oviposition clusters was studied using the Kernel statistics.

Entomo-virological surveillance strategy for dengue, Zika and chikungunya arboviruses in field-caught Aedes mosquitoes in an endemic urban area of the Northeast of Brazil.

Aedes spp. are considered the main vectors of dengue (DENV), Zika (ZIKV) and chikungunya (CHIKV) viruses in the world. Arbovirus detection in Aedes mosquitoes can alert authorities to possible outbreaks, reducing the impact of these diseases.

Identification of surveillance and control priority areas for dengue and other arboviruses transmitted by Aedes aegypti in Natal-RN, Brazil: experience report.

Objective: to report the vigi@dengue experience, held in the municipality of Natal-RN, Brazil, from October/2015 to May/2016.

Methods: entomological indicators were obtained from the oviposition traps, epidemiological indicators from notifications on the online Information System for Notifiable Diseases (Sinan-dengue), active search for cases and viral RNA detection (RTq-PCR) in arthropods and human serum samples; risk levels have been created based on these indicators; categories of interventions for each risk level have been established.

Results: early identification of epidemics in three areas of the municipality, with guidance for field work for the most vulnerable areas; the municipality presented ovitrap positivity index (OPI) of 40% and eggs density index (EDI) of 51 eggs/ovitraps; identification of CHIKV, DENV-1 and DENV-3 in Natal-RN.