Percentage of patients (n = 199) fully recovered, shown by age group.

<p>The long dash followed by the short dash represents patients aged under 30; the dash represents patients aged 30 to 59 and the solid line represents those aged 60 and over. Recovery is fast in young subjects.</p

Quality of life assessment by the SF-12 of subjects with a history of Chikungunya virus infection compared with uninfected subjects.

<p>CHIK+, persons with a history of CHIKV infection confirmed by serology (n = 162); CHIK–, persons confirmed as seronegative for CHIKV (n = 162).</p>*<p>Wilcoxon's rank test for paired samples.</p>†<p>After Bonferroni correction, the statistical significance was then set at p = 0.01 with a bilateral formulation.</p

Characteristics of the study population (199 matched pairs).

<p>Characteristics of the study population (199 matched pairs).</p

Reported symptoms and medical consumption.

<p>CHIK+, persons with a history of CHIKV infection confirmed by serology (n = 199); CHIK–, persons confirmed as seronegative for CHIKV (n = 199); RR, relative risks; CI, confidence interval.</p>*<p>RR, relative risks controlling for stratification criteria.</p>†<p>Exact Mac Nemar test.</p

Medical costs related to the Chikungunya epidemic, La Réunion, 2005–2006.

<p>Medical costs related to the Chikungunya epidemic, La Réunion, 2005–2006.</p

Excess sales of analgesics observed during the Chikungunya epidemic on La Réunion, 2005–2006.

<p>The black curve represents the observed number of boxes sold, and the green curve the expected number of boxes sold. The red curve represents the upper limit of the 95% prediction interval. Excesses are represented by the areas painted in blue (source of the data: IMS Health).</p

Algorithm for the scale of charges for hospital stays associated with Chikungunya.

<p>Algorithm for the scale of charges for hospital stays associated with Chikungunya.</p

Consultations, drug reimbursements and absenteeism from work due to the Chikungunya epidemic, La Réunion, 2005–2006.

<p>*Compared to consumption outside the epidemic, calculated by a periodic regression model.</p

ICD-10 codes of signs that may be related to Chikungunya virus infection.

<p>*The International Statistical Classification of Diseases and Related Health Problems 10th Revision.</p><p>**Where the code A92.0 was the only AD.</p><p>This list of manifestations was compiled following a review of all of the ICD-10 codes by two of the authors (MKS and TH), based on the symptoms reported in the acute phase of the disease. <a href="http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0001197#pntd.0001197-Pialoux1" target="_blank">[4]</a>, <a href="http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0001197#pntd.0001197-Borgherini1" target="_blank">[16]</a>, <a href="http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0001197#pntd.0001197-Peters1" target="_blank">[53]</a>.</p

Excess reimbursement of analgesics during the Chikungunya epidemic on La Réunion, 2005–2006.

<p>The black curve represents the observed reimbursement costs in Euros, and the green curve the “expected” reimbursement cost in the absence of epidemic, derived from the fit of a periodic regression model to observed costs outside the epidemic period. The red curve represents the upper limit of the 95% prediction interval for monthly costs in the absence of epidemic. Excess periods are defined when the observed costs are above the threshold (area in blue) and quantified by the cumulated difference between observed and expected costs over such periods.</p