BACKGROUND: African populations are considered to be particularly vulnerable to @entity221 , including @entity311 , and @entity1576 , owing to limited resources and overcrowding. However, the overall burden of @entity683 in this context is poorly defined and incidence data for African countries are scarce. We therefore studied the @entity221 syndrome incidence and more specifically @entity683 incidence in a cohort of inhabitants of Dielmo and Ndiop in Sokone district, Senegal. METHODS: Daily febrile-illness data were prospectively obtained from January 2012 to December 2013 from the cohort of the villages of Dielmo and Ndiop, initially dedicated to the study of @entity311 . Nasopharyngeal swabs were collected from, and @entity311 diagnosis tests (thick blood smears) carried out on, every febrile individual during clinical visits; reverse transcriptase-polymerase chain reaction was used to identify @entity683 viruses in the samples. Binomial negative regression analysis was used to study the relationship between the monthly incidence rate and various covariates. RESULTS: In Dielmo and Ndiop, the incidence of @entity311 has @entity221 remain frequent. Among the 1036 inhabitants included in the cohort, a total of 1,129 episodes of @entity221 were reported. @entity683 was present all year round with peaks in October-December 2012 and August 2013. The @entity221 , ILI and @entity683 incidence density rates differed significantly between age groups. At both sites, the adjusted incidence relative risks for @entity221 and ILI were significantly higher in the [6-24 months) than other age groups: 7.3 (95%CI: [5.7-9.3]) and 16.1 (95%CI: [11.1-23.3]) respectively. The adjusted incidence relative risk for @entity683 was significantly higher for the [0-6 months) than other age groups: 9.9 (95%CI: [2.9-33.6]). At both sites, incidence density rates were lowest among adults > = 50 years. CONCLUSIONS: In this rural setting in Senegal, @entity683 was most frequent among the youngest @entity1 . Preventive strategies targeting this population should be implemented.

Acute XXXX and Influenza Disease Burden in a Rural Cohort Dedicated to Malaria in Senegal, 2012-2013.

@entity1 :: ('9606', 'Species') :: ['children'] @entity683 :: ('MESH:D007251', 'Disease') :: ['influenza', 'Influenza'] @entity1576 :: ('MESH:D012131', 'Disease') :: ['acute respiratory disease'] @entity311 :: ('MESH:D008288', 'Disease') :: ['malaria'] @entity221 :: ('MESH:D005334', 'Disease') :: ['fever illnesses', 'decreased, but fever syndromes', 'fever syndromes', 'fever']
@entity221 :: (MESH:D005334,Disease) :: ['Febrile Illness']
