Epidemiology of Chikungunya Virus Outbreaks in Guadeloupe and Martinique,2014: An Observational Study in Volunteer Blood Donors

Background: during dec-2013,a chikungunya virus (chikv) outbreak was first detected in the french-west indies. subsequently,the virus dispersed to other caribbean islands,continental america and many islands in the pacific ocean. previous estimates of the attack rate were based on declaration of clinically suspected cases. methods/principal findings: individual testing for chikv rna of all (n = 16,386) blood donations between feb-24th2014 and jan-31st2015 identified 0·36% and 0·42% of positives in guadeloupe and martinique,respectively. the incidence curves faithfully correlated with those of suspected clinical cases in the general population of guadeloupe (abrupt epidemic peak),but not in martinique (flatter epidemic growth). no significant relationship was identified between chikv rna detection and age-classes or blood groups. prospective (feb-2014 to jan-2015; n = 9,506) and retrospective (aug-2013 to feb-2014; n = 6,559) seroepidemiological surveys in blood donors identified a final seroprevalence of 48·1% in guadeloupe and 41·9% in martinique. retrospective survey also suggested the absence or limited silent chikv circulation before the outbreak. parameters associated with increased seroprevalence were: gender (m>f),kel-1,[rh+1/kel-1],[a/rh+1] and [a/rh+1/kel-1] blood groups in martiniquan donors. a simulation model based on observed incidence and actual seroprevalence values predicted 2·5 and 2·3 days of asymptomatic viraemia in martiniquan and guadeloupian blood donors respectively. conclusions/significance: this study,implemented promptly with relatively limited logistical requirements during chikv emergence in the caribbean,provided unique information regarding retrospective and prospective epidemiology,infection risk factors and natural history of the disease. in the stressful context of emerging infectious disease outbreaks,blood donor-based studies can serve as robust and cost-effective first-line tools for public health surveys. © 2017 gallian et al.