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Title: Estimating the reproductive number, total outbreak size, and reporting rates for Zika epidemics in South and Central America

Journal Article · · Epidemics
 [1];  [2];  [3];  [3];  [4]
  1. Virginia Military Inst., Lexington, VA (United States)
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States); The New Mexico Consortium, Los Alamos, NM (United States)
  3. Colorado School of Mines, Golden, CO (United States)
  4. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

As South and Central American countries prepare for increased birth defects from Zika virus outbreaks and plan for mitigation strategies to minimize ongoing and future outbreaks, understanding important characteristics of Zika outbreaks and how they vary across regions is a challenging and important problem. We developed a mathematical model for the 2015/2016 Zika virus outbreak dynamics in Colombia, El Salvador, and Suriname. We fit the model to publicly available data provided by the Pan American Health Organization, using Approximate Bayesian Computation to estimate parameter distributions and provide uncertainty quantification. The model indicated that a country-level analysis was not appropriate for Colombia. We then estimated the basic reproduction number to range between 4 and 6 for El Salvador and Suriname with a median of 4.3 and 5.3, respectively. We estimated the reporting rate to be around 16% in El Salvador and 18% in Suriname with estimated total outbreak sizes of 73,395 and 21,647 people, respectively. The uncertainty in parameter estimates highlights a need for research and data collection that will better constrain parameter ranges.

Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
National Science Foundation (NSF); USDOE
Grant/Contract Number:
AC52-06NA25396
OSTI ID:
1396120
Report Number(s):
LA-UR-17-20963
Journal Information:
Epidemics, Vol. 21; ISSN 1755-4365
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 18 works
Citation information provided by
Web of Science

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Cited By (6)

Heterogeneous local dynamics revealed by classification analysis of spatially disaggregated time series data journal December 2019
Modeling Chikungunya control strategies and Mayaro potential outbreak in the city of Rio de Janeiro journal January 2020
Impact of weather seasonality and sexual transmission on the spread of Zika fever journal November 2019
Local and regional dynamics of chikungunya virus transmission in Colombia: the role of mismatched spatial heterogeneity journal August 2018
Projecting the end of the Zika virus epidemic in Latin America: a modelling analysis journal October 2018
Reviewing estimates of the basic reproduction number for dengue, Zika and chikungunya across global climate zones journal March 2020

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