Spatial distribution of dengue in Honduras during 2016–2019 using a geographic information systems (GIS)–Dengue epidemic implications for public health and travel medicine
- Lysien I. Zambrano,
- Edith Rodriguez,
- Iván Alfonso Espinoza-Salvado,
- Itzel Carolina Fuentes-Barahona,
- Tales Lyra de Oliveira,
- Glaucia Luciano da Veiga
- Universidade Federal de São Paulo,
- Universidad Nacional Autónoma de Honduras,
- Colombian Collaborative Network on Zika and other Arboviruses (RECOLZIKA),
- Secretaría de Salud,
- Hospital Escuela,
- University of São Paulo
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Output type
Original language
EnglishArticle number
101517Journal (Volume, Issue Number)
Travel Medicine and Infectious Disease (Volume 32)Publication milestones
- Published - 01/11/2019
Publication status
ISSN
1477-8939Publication IDs
- Scopus: 85075424726
- PubMed: 31715270
Abstract
Background: After serious epidemics of chikungunya (CHIKV) and Zika (ZIKV) in the Americas, dengue (DENV) have reemerged in most countries. We analyzed the incidence, incidence rates, and evolution of DENV cases in Honduras from 2015 to 2018 and the ongoing 2019 epidemic. Methods: Using epidemiological weeks (EW) surveillance data on the DENV in Honduras, we estimated incidence rates (cases/100,000 population), and developed maps at national, departmental, and municipal levels. Results: From January 1, 2016 to July 21, 2019, a total of 109,557 cases of DENV were reported, 28,603 in 2019, with an incidence rate of 312.32 cases/100,000 population this year; 0.13% laboratory-confirmed. The highest peak was reached on the EW 28°, 2019 (5299 cases; 57.89 cases/100,000 population). The department with the highest number of cases and incidence rate was Cortes (8404 cases, 479.68 cases/100,000 population in 2019). Discussion: The pattern and evolution of DENV epidemic in 2019 in Honduras has been similar to that which occurred for in 2015. As previously reported, this epidemic involved the north and central areas of the country predominantly, reaching municipality incidences there >1000 cases/100,000 population (or 1%). Studies using geographical information systems linked with clinical disease characteristics are necessary to obtain accurate epidemiological data for public health systems. Such information is also useful for assessment of risk for travelers who visit specific areas in a destination country.
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