Setting Dengue Fever Epidemic Thresholds Between 2016 and 2021 in the Central Health Region, Burkina Faso: An Ecological Study.

BACKGROUND: Dengue fever (DF) is endemic in Burkina Faso, with 70% of its burden supported by the Central Health Region. Then, a single confirmed case can no longer mean an epidemic. This study aimed at describing trends and setting epidemic thresholds of DF in the Central Health Region. DATA AND METHODS: An ecological study was conducted using monthly data from DF surveillance between 2016 and 2021. Three methods were applied to set alert and intervention thresholds of DF monthly incidence rate: mean [mean + 2 SD], median [3rd quartile] and cumulative sum (C-sum) [C-sum + 1.96 SD]. These thresholds were plotted with the monthly incidence rates for 2021. RESULTS: In total, 54,429 cases were reported between 2016 and 2021. Dengue cases increased biannually. The median annual incidence rate did not vary significantly across years [Kruskal-Wallis: χ2(5) = 9.825; p = 0.0803]. Within a year, the monthly incidence rate fell under 48.91 cases per 100,000 inhabitants between January and September and peaked in October or November. With the mean and C-sum methods, the 2021 monthly incidence rate remained below the intervention thresholds (Mean + 2 SD and C-sum + 1.96 SD). With the median method, the incidence rate exceeded the alert and intervention thresholds in July-September 2021. CONCLUSIONS: If the DF incidence varied within a year due to the seasons, it was relatively stable between 2016 and 2021. The mean and C-sum methods based on the mean were subject to extreme values, giving high thresholds. The median method seemed better for capturing the abnormal increase in dengue incidence.

Spatiotemporal analysis of dengue fever in Burkina Faso from 2016 to 2019.

BACKGROUND: Burkina Faso experienced an epidemic resurgence of dengue in 2016, which led to the implementation of several control strategies. In order to allow a better adaptation of these strategies, we studied the spatio-temporal distribution of dengue. METHODS: Monthly dengue cases from 2016 to 2019, aggregated at the health district level, were used to map the crude incidence, excess risk, and smoothed incidence of dengue in Burkina Faso with GeoDa software. A Kulldoff scan on Satscan software was then used to identify spatio-temporal clustering of cases. RESULTS: The results show that the distribution of dengue fever across the health districts of Burkina Faso is heterogeneous. Dengue was considered non-endemic in 9 out of the 70 health districts, minimally endemic in 45 districts (< 10 incidences), moderately endemic (10-100 incidences) in 12 districts, and highly endemic (> 100 incidences) in 4 districts. The main cluster covered the health districts of Baskuy, Nongr-massom, Sig-noghin, Boulmiougou, and Bogodogo. The months of October and November corresponded to the peak of cases and a significant temporal cluster in 2017. CONCLUSION: This study identified the spatial and temporal clustering of dengue cases in Burkina Faso. These results may help to develop better preventive strategies.

Molecular epidemiology of norovirus infections in symptomatic and asymptomatic children from Bobo Dioulasso, Burkina Faso.

BACKGROUND: Noroviruses (NoV) are a leading cause of gastroenteritis worldwide. Few epidemiological data regarding the NoV strains circulating in African countries are available. OBJECTIVES: To determine the prevalence of NoV in Bobo Dioulasso (Burkina Faso) in both symptomatic and asymptomatic gastroenteritis patients. STUDY DESIGN: Patients both with and without gastro-intestinal disorders were selected. Clinical and epidemiological data, as well as stool samples, were collected through March to April 2011. NoV molecular detection (genogrouping and genotyping) and viral load quantification were also performed for all samples. RESULTS: NoV were detected in 22.2% of the 418 collected stool samples (21.2% and 24.8% from the 293 symptomatic patients (SP) and the 125 asymptomatic patients (ASP) respectively). Genogroup (G) distribution was 7.5%, 10.2% and 3.4% for GI, GII and both GI/GII respectively among SP and 12.0%, 11.2% and 1.6% for GI, GII and both GI/GII, respectively, among ASP. Average viral load values were higher in SP than in ASP for GI (p = 0.03) but not for GII. Phylogenic analysis showed a high degree of genotype diversity in SP and ASP. One recombinant GII.7/GII.6 sequence was, to the best of our knowledge, detected for the first time. CONCLUSIONS: This study enabled identification of the specific molecular epidemiology of NoV strains circulating in a representative country in Eastern Africa, and additionally showed that ASP could play an important "reservoir" role. A high strain diversity was detected with a surprisingly high proportion of NoV GI compared to the common genotypes usually reported in comparable epidemiological studies.