BackgroundEmpirical social contact patterns are essential to understand the spread of infectious diseases. To date, no such data existed for France. Although infectious diseases are frequently seasonal, the temporal variation of contact patterns has not been documented hitherto.MethodsCOMES-F is the first French large-scale population survey, carried out over 3 different periods (February-March, April, April-May) with some participants common to the first and the last period. Participants described their contacts for 2 consecutive days, and reported separately on professional contacts when typically over 20 per day.Results2033 participants reported 38 881 contacts (weighted median [first quartile-third quartile]: 8[5–14] per day), and 54 378 contacts with supplementary professional contacts (9[5–17]). Contrary to age, gender, household size, holidays, weekend and occupation, period of the year had little influence on the number of contacts or the mixing patterns. Contact patterns were highly assortative with age, irrespective of the location of the contact, and gender, with women having 8% more contacts than men. Although most contacts occurred at home and at school, the inclusion of professional contacts modified the structure of the mixing patterns. Holidays and weekends reduced dramatically the number of contacts, and as proxies for school closure, reduced R0 by 33% and 28%, respectively. Thus, school closures could have an important impact on the spread of close contact infections in France.ConclusionsDespite no clear evidence for temporal variation, trends suggest that more studies are needed. Age and gender were found important determinants of the mixing patterns. Gender differences in mixing patterns might help explain gender differences in the epidemiology of infectious diseases.

Dengue vaccines are currently in development and policymakers need appropriate economic studies to determine their potential financial and public health impact. We searched five databases (PubMed, EMBASE, LILAC, EconLit, and WHOLIS) to identify health economics studies of dengue. Forty-three manuscripts were identified that provided primary data: 32 report economic burden of dengue and nine are comparative economic analyses assessing various interventions. The remaining two were a willingness-to-pay study and a policymaker survey. An expert panel reviewed the existing dengue economic literature and recommended future research to fill information gaps. Although dengue is an important vector-borne disease, the economic literature is relatively sparse and results have often been conflicting because of use of inconsistent assumptions. Health economic research specific to dengue is urgently needed to ensure informed decision making on the various options for controlling and preventing this disease.

The percentage of compliant continuous positive airway pressure (CPAP)-treated apnoeic patients that continue to experience residual excessive sleepiness (RES) is unknown.RES was defined by an Epworth Sleepiness Scale (ESS) score of o11. In total, 502 patients from 37 French sleep centres using CPAP .3 h?night -1 attending their 1-yr follow-up visit were eligible. ESS and polysomnographic data as well as symptoms, quality of life, depression scores and objective CPAP compliance at 1 yr were collected. Overall, 60 patients remained sleepy on CPAP (ESS 14.3¡2.5) leading to a prevalence rate of RES of 12.0% (95% confidence interval (CI) 9.1-14.8). After having excluded associated restless leg syndrome, major depressive disorder and narcolepsy as confounding causes, the final prevalence rate of RES was 6.0% (95% CI 3.9-8.01). Patients with RES were younger and more sleepy at diagnosis. The relative risk of having RES was 5.3 (95% CI 1.6-22.1), when ESS before treatment was o11. Scores of emotional and energy Nottingham Health Profile domains were two times worse in patients with RES.As 230,000 obstructive sleep apnoea patients are currently treated in France by continuous positive airway pressure, more than 13,800 of them might suffer from residual excessive sleepiness.

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