To date, the underlying causes of community-acquired fever, particularly non-malarial fever, are insufficiently documented in Guinea. Moreover, diagnostic capacity is limited, leading to inadequate prescription of antibiotics and antimalarials, as well as substantial delay in outbreak recognition. Thus, the investigators undertook a prospective observational multi-centric cohort study of febrile patients presenting at the emergency and outpatient department of selected health centers, districts and regional hospitals in four ecologically distinct sentinel health districts in Guinea.
Study Type
OBSERVATIONAL
Enrollment
2,500
Centre National de Formation et de Recherche en Santé Rurale
Maférinya, Forécariah, Guinea
Pattern of symptoms and laboratory results at presentation and during follow-up
Proportion will be estimated
Time frame: Day 0 and day 21
Syndromic and/or etiologic diagnoses as established at day 21
Proportion will be estimated
Time frame: Day 0
Pattern and duration of antibiotic use (and other treatments)
Proportion and mean or median will be estimated
Time frame: Day 0
Immediate or secondary hospital admissions and of secondary/unscheduled visits
Proportion will be estimated
Time frame: Day 0 and day 21
Participants alive (with or without symptoms) or dead at day 21.
Survival or mortality rate will be estimated
Time frame: Day 21
White blood cells and C-reactive protein levels at baseline and association with syndromic/etiologic diagnoses and with patient outcome at day 21
Mean or median level will be estimated
Time frame: Day 0
Association of seasonal, geographical, demographic, clinical and first-line laboratory variables (malaria RDT and smear, biochemistry) with presenting syndromes/main etiologies
OR or RR will be estimated as appropriate
Time frame: Day 0
Confirmed arboviral pathogens and identification of epidemiological/clinical/laboratory predictors
Proportions will be estimated
Time frame: Day 0
Cases fulfilling any of the case definitions of the 20 epidemic-prone infections under surveillance as compared to the final diagnosis and proportion of them timely reported to health authorities
Proportions will be estimated
Time frame: Day 0
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