Stratifying the potential local transmission of Zika in municipalities of Antioquia, Colombia
Por:
Ospina J., Hincapie-Palacio D., Ochoa J., Molina A., Rúa G., Pájaro D., Arrubla M., Almanza R., Paredes M., Mubayi A.
Publicada:
1 oct 2017
Resumen:
OBJECTIVE To stratify and understand the potential transmission processes of Zika virus in Colombia, in order to effectively address the efforts on surveillance and disease control.
METHODS We compare R-0 of Zika for municipalities based on data from the regional surveillance system of Antioquia, Colombia. The basic reproduction number (R-0) and its 95% confidence intervals were estimated from an SIR model with implicit vector dynamics, in terms of recovered individuals in each time unit, using an approximate solution. These parameters were estimated fitting the solution of the model to the daily cumulative frequency of each Zika case according to symptoms onset date relative to the index case reported to the local surveillance system.
RESULTS R-0 was estimated for 20 municipalities with a median of 30 000 inhabitants, all located less than 2200 m above sea level. The reported cases ranged from 17 to 347 between these municipalities within 4 months (January to April of 2016). The results suggest that 15 municipalities had a high transmission potential (R-0 > 1), whereas in five municipality transmissions were potentially not sustaining (R-0 < 1), although the upper bound of the confidence interval of the R-0 for 3 of these 5 was greater than one, indicating the possibility of an outbreak later on.
CONCLUSION The study identified high-risk municipalities (R-0 > 1) and provide a technique to optimise surveillance and control of Zika. Health authorities should promote the collection, analysis, modelling and sharing of anonymous data onto individual cases to estimate R-0.
Filiaciones:
Ospina J.:
EAFIT University, Medellin, Colombia
Hincapie-Palacio D.:
National School of Public Health, ‘Héctor Abad Gómez’, Epidemiology Group, University of Antioquia, Medellín, Colombia
Ochoa J.:
National School of Public Health, ‘Héctor Abad Gómez’, Epidemiology Group, University of Antioquia, Medellín, Colombia
Molina A.:
National School of Public Health, ‘Héctor Abad Gómez’, Epidemiology Group, University of Antioquia, Medellín, Colombia
Rúa G.:
Group of Entomology, Faculty of Medicine, University of Antioquia, Medellín, Colombia
Pájaro D.:
Secretary Regional Health and Social Protection of Antioquia, Medellin, Colombia
Arrubla M.:
Secretary Regional Health and Social Protection of Antioquia, Medellin, Colombia
Almanza R.:
Secretary of Health, Medellin, Colombia
Paredes M.:
Simon A. Levin Mathematical Computational and Modeling Sciences Center, Arizona State University, Tempe, AZ, United States
Department of Mathematics and Physics, University of Puerto Rico, Cayey, Puerto Rico
Mubayi A.:
Simon A. Levin Mathematical Computational and Modeling Sciences Center, Arizona State University, Tempe, AZ, United States
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