Dengue is now a major health concern in sub-Saharan Africa. Understanding the influence of local meteorological factors on the incidence of dengue is an important element for better prediction and control of this disease. This study aims to assess the impact of meteorological factors on dengue transmission in the central region of Burkina Faso. We analyzed the lagged effects of meteorological factors on the weekly incidence of dengue from 2017 to 2019 in the central region of Burkina Faso using a General Additive Model. The results show that maximum and minimum temperature, relative humidity, and wind speed have a significant non-linear effect on dengue cases in the region with 83% of case variance explained. The optimal temperature that increases dengue cases was 27°C to 32°C for the maximum temperature and 18°C to 20°C for the minimum temperature with a decrease beyond that. The maximum temperature shifted by six weeks had the best correlation with dengue incidence. The estimated number of dengue cases increases as the maximum relative humidity increases from 15 to 45% and then from 60 to 70%. In general, an increase in daily wind speed is estimated to decrease the number of daily dengue cases. The relationship between rainfall and dengue cases was not significant. This study provides local information about the effect of meteorological factors on dengue that should help improve predictive models of dengue cases in Burkina Faso and contribute to the control of this disease.

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.

The aim of this study was to analyze the spatio-temporal distribution and determinants of the 2017 dengue epidemic in Burkina Faso. A principal component analysis of meteorological and environmental factors was performed to reduce dimensions and avoid collinearities. An initial generalized additive model assessed the impact of the components derived from this analysis on dengue incidence. Dengue incidence increased mainly with relative humidity, precipitation, normalized difference vegetation index and minimum temperature with an 8-week lag. A Kulldoff Satscan scan was used to identify high-risk dengue clusters, and a second generalized additive model assessed the risk of a health area being at high risk according to land-use factors. The spatio-temporal distribution of dengue fever was heterogeneous and strongly correlated with meteorological factors. The rural communes of Sabaa and Koubri were the areas most at risk. This study provides useful information for planning targeted dengue control strategies in Burkina Faso.

Background: Small vulnerable newborns (SVNs), including those born preterm, small for gestational age, or with low birth weight, are at higher risk of neonatal mortality and long-term health complications. Early exposure to maternal vaginal microbiota and breastfeeding plays a critical role in the development of the neonatal microbiota and immune system, especially in low-resource settings like Burkina Faso, where neonatal mortality rates remain high. Objectives: The DenBalo study aims to investigate the role of maternal and neonatal factors, such as vaginal and gut microbiota, immune development, and early nutrition, in shaping health outcomes in SVNs and healthy infants. Methods: This prospective cohort observational study will recruit 141 mother-infant pairs (70 SVNs and 71 healthy controls) from four health centers in Bobo-Dioulasso, Burkina Faso. The mother-infant pairs will be followed for six months with anthropometric measurements and biospecimen collections, including blood, breast milk, saliva, stool, vaginal swabs, and placental biopsies. Multi-omics approaches, encompassing metagenomics, metabolomics, proteomics, and immune profiling, will be used to assess vaginal and gut microbiota composition and functionality, immune cell maturation, and cytokine levels at critical developmental stages. Conclusions: This study will generate comprehensive data on how microbiota, metabolomic, and proteomic profiles, along with immune system development, differ between SVNs and healthy infants. These findings will guide targeted interventions to improve neonatal health outcomes and reduce mortality, particularly in vulnerable populations.

Introduction: to help reduce neonatal mortality in Burkina Faso, we identified the prognostic factors for neonatal mortality at the Sour & ocirc; Sanou University Hospital. Methods: we conducted a cross-sectional and analytical study in the neonatal department from July 25, 2019 to June 25, 2020. Patients' medical records, consultation and hospital records were reviewed. Prognostic factors for neonatal mortality were identified using a Cox model. Results: data from 1128 newborn babies were analysed. Neonatal mortality was 29.8%. Most of these deaths (89%) occurred in the early neonatal period. The mean weight of newborns at the admission was 2,285.8 + 878.7 and 43.6%. They were at a healthy weight. Four out of five newborns had been hospitalized for infection or prematurity. The place of delivery (HR weight <1000g = 5.45[3.81-7.79]) and the principal diagnosis (HR asphyxiation= 1.64[1.30-2.08]) were prognostic factors for neonatal mortality. Conclusion: improving technical facilities for the etiological investigation of infections and an efficient management of low-weight newborns suffering from respiratory distress would considerably reduce in-hospital neonatal mortality in Bobo-Dioulasso.

Human papilloma virus testing is a new method of screening for precancerous cervical lesions. Here we identified factors associated to the positive Human papilloma virus-testing in the context of cervical precancer screening at the Souro Sanou National Teaching Hospital in Burkina Faso. Conducted from June 2021-May 2022, this was a cross-sectional study, including patients aged between 25 and 55 years-old and screened for precancerous lesions and received HPV-testing at the Department of Gynecology, Obstetrics and Reproductive Medicine (DGORM) of the SSNTH. The proportion of positive HPV-test was calculated, and we identified factors associated to positive HPV-test using logistic regression. Of the 759 patients came for precancerous lesions screening, 559 patients were included. Their mean-age was 38.8 ± 7.9 years-old, 94.3% were from urban area and 50.3% identified as housewives. Regarding the past medical history, it noted: number of gestures (3.2 ± 2.0), parity (2.8 ± 1.9), number of living children (2.8 ± 1.9), having abortion experience (24.0%), age of first-sexual-intercourse(18.6 ± 2.3 years), alcohol (9.1%) and tobacco (1.0%) consumption, sexually-transmitted-infection (27.0%), Human immunodeficiency virus (HIV)infection (5.0%); none had been vaccinated against HPV. Biologically, 16.6% [95% CI: 13.6–20] of the women had a positive HPV-test. The factors significantly associated with positive HPV-test were: occupation in the private sector [OR: 0.06(0.0–0.5); p < 0.001], having a sexually-transmitted-infection [OR: 3.9(2.0–7.7); p < 0.001], age of first-sexual-intercourse [OR: 0.7(0.6–0.9); p < 0.001], sexual-multiple-partnership [OR: 17.5(8.1–39.6); p < 0.001], and HIV status [OR: 13.2(4.4–40.5); p < 0.001]. These results call for health actions through the reinforcement for behavioral change mainly about sexually-transmitted-infections, and for the raising awareness of the population for the screening related to the precancerous lesions and HIV.