Estimating the Force of Infection for Dengue Virus Using Repeated Serosurveys, Ouagadougou, Burkina Faso
Jacqueline K. Lim
, Mabel Carabali, Tansy Edwards, Ahmed Barro, Jung-Seok Lee, Desire Dahourou, Kang Sung Lee, Teguewende Nikiema, Mee Young Shin, Emmanuel Bonnet, Therese Kagone, Losseni Kaba, Suk Namkung, Paul-André Somé, Jae Seung Yang, Valéry Ridde, In-Kyu Yoon, Neal Alexander, and Yaro Seydou
Author affiliations: International Vaccine Institute, Seoul, South Korea (J.K. Lim, M. Carabali, J.-S. Lee, K.S. Lee, M.Y. Shin, S. Namkung, J.S. Yang); London School of Hygiene and Tropical Medicine, London, UK (J.K. Lim, T. Edwards, N. Alexander); Centre MURAZ, Bobo-Dioulasso, Burkina Faso (D. Dahourou, T. Nikiema, T. Kagone, Y. Seydou); McGill University, Montreal, Quebec, Canada (M. Carabali); Action, Gouvernance, Intégration, Renforcement Program Equité, Ouagadougou, Burkina Faso (A. Barro, P.-A. Somé); Institut de Recherché en Sciences de la Santé, Ouagadougou (D. Dahourou); I; nstitute for Research on Sustainable Development, Université de Paris, Paris, France (E. Bonnet, V. Ridde); Centre National de Transfusion Sanguine, Ouagadougou (L. Kaba); Coalition for Epidemic Preparedness Innovations, Washington, DC, USA (I.-K. Yoon)
Figure 1. Flowchart of participant enrollment and graphs of annual force of infection rates during a rainy season (A), a nonrainy season (B), and the 2016 dengue outbreak (C) in study of force of infection for dengue virus, Ouagadougou, Burkina Faso, June–July 2015. Labels along x-axes (e.g., 0–4) indicate age ranges in years. Error bars indicate 95% CIs. To be considered complete, records had to contain lab results and basic demographic information. Seroconversion rates in the paired analyses were based solely on results from one survey to the next (e.g., S2–S3). Dengue serostatus in previous or subsequent surveys was not considered. S, serosurvey.
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