Leçons apprises de la gestion des épidémies de la maladie à virus Ebola en République Démocratique du Congo de 2007 à 2017: Lessons learned from the management of Ebola outbreaks in the Democratic Republic of Congo from 2007 to 2017

Context and objective. DRC’s ecosystem provides conditions that are favorable to the occurrence of zoonotic diseases at the human-animal interface including Ebola virus disease (EVD). Because the level of lethality of EVD is high, the present study focuses on the epidemics that occurred in Mweka (2007 and 2008), Isiro (2012), Boende (2014) and Likati (2017) with a view to assess the response components during each outbreak and to identify those with relevant impact on the scale of the epidemic. Methods. An analytical retrospective study of secondary data collected during the management of the five aforementioned EVD epidemics in DRC was conducted.Charecteristics of each outbreak were described based on descriptive statistics, and univariate analyzes of each response component were conducted in relation to lethality. Results. A total of 422 cases were recorded with 282 deaths or 66.8% lethality. The vast majority of cases are in the 15 to 49 age group. The female sex is the most represented. Among all the elements of the answer, in a univariate model, the deployment of the mobile laboratory (p = 0.002), the functionality of the commissions (p =0.001), the deployment of a multidisciplinary team and the powerful surveillance system (p = 0.001) are significantly associated with lethality. Conclusion. Rapid deployment of the mobile laboratory in the field, deployment of multidisciplinary teams, efficient functionality of the commissions and a functional monitoring system significantly reduced the fatality rate. Contexte et objectifs. La RDC a un écosystème favorable à la survenue des maladies d’origine zoonotique à l’interface homme-animal dont la maladie à virus Ebola (MVE). Face à une létalité reconnue être élevée pour cette dernière, cette étude s’est focalisée sur les épidémies survenues à Mweka (2007 et 2008), à Isiro (2012), à Boende (2014) et à Likati (2017) afin de décrire les différents éléments de réponse mis en place lors de chacune de ces épidémies et identifier ceux qui ont une influence significative sur l’ampleur de l’épidémie. Méthodes. Une étude documentaire analytique sur les données secondaires recueillies lors de la gestion de ces cinq épidémies de la MVE survenues en RDC. Les statistiques descriptives ont été réalisées pour caractériser chaque épidémie. Les analyses univariées de chaque élément de réponse ont été menées en rapport avec la létalité. Résultats. Un total de 422 cas a été enregistré avec 282 décès soit 66,8 % de létalité. La grande majorité de cas se trouve dans la tranche d’âge de 15 à 49 ans. Le sexe féminin est le plus représenté. Parmi tous les éléments de la réponse, dans un modèle univarié, le déploiement du laboratoire mobile (p=0,002), la fonctionnalité des commissions (p=0,001), le déploiement d’une équipe multidisciplinaire et le système de surveillance performant (p=0,001) sont associés significativement à la létalité. Conclusion. Le déploiement rapide du laboratoire mobile sur le terrain, le déploiement des équipes multidisciplinaires, la bonne fonctionnalité des commissions et le système de surveillance fonctionnel ont permis de réduire significativement la létalité

Prevalence and characteristics of HIV infection among female sex workers in Lubumbashi, Democratic Republic of Congo

Introduction: female sex workers (FSWs) are considered a high-risk group for acquiring HIV infection due to their HIV prevalence estimated to be 10-20 times higher than in woman in the general population. This study aimed to determine the prevalence and risk factors of HIV among female sex workers (FSWs) in Lubumbashi. Methods: a cross-sectional study was conducted among FSWs presenting for the first time at the sexually transmitted infections (STIs) clinic of Katuba, Lubumbashi, between April 2016 and December 2017. Information on the participants´ socio-demographic characteristics, sexual behaviors, and HIV serology results were collated and analyzed using a multiple logistic regression to identify factors associated to HIV infection among FSWs. Results: information on 1555 sex workers was analysed in this study, the prevalence of HIV was 8.2%. The median age of the participants was 26 years (IQR: 21-34). Of the 127 HIV positive sex workers, 74% have been in the business for two years or less, 97% sell sex as their main income, 74% have more than 5 sexual intercourses per week, 95% reported using condom, 73% reported having history of STIs, 70% reported using alcohol before sex and 97% reported having three or more sexual partners per week. After adjusting for potentials cofounders, Age, Sex work as main income, years of selling sex, condom use, and alcohol use before sex were found to have a significant effect on HIV infection among sex workers. Conclusion: these findings highlight the vulnerability of FSWs to HIV infection and the necessity of immediate interventions to strengthen HIV prevention through behavioral change strategies and making available Pre-exposure Prophylaxis (PrEP) for FSWs in Lubumbashi

High Prevalence and Diversity of Hepatitis Viruses in Suspected Cases of Yellow Fever in the Democratic Republic of Congo

International audienceThe majority of patients with acute febrile jaundice (>95%) identified through a yellow fever surveillance program in the Democratic Republic of Congo (DRC) test negative for antibodies against yellow fever virus. However, no etiological investigation has ever been carried out on these patients. Here, we tested for hepatitis A (HAV), hepatitis B (HBV), hepatitis C (HCV), hepatitis D (HDV), and hepatitis E (HEV) viruses, all of which can cause acute febrile jaundice, in patients included in the yellow fever surveillance program in the DRC. On a total of 498 serum samples collected from suspected cases of yellow fever from January 2003 to January 2012, enzyme-linked immunosorbent assay (ELISA) techniques were used to screen for antibodies against HAV (IgM) and HEV (IgM) and for antigens and antibodies against HBV (HBsAg and anti-hepatitis B core protein [HBc] IgM, respectively), HCV, and HDV. Viral loads and genotypes were determined for HBV and HVD. Viral hepatitis serological markers were diagnosed in 218 (43.7%) patients. The seroprevalences were 16.7% for HAV, 24.6% for HBV, 2.3% for HCV, and 10.4% for HEV, and 26.1% of HBV-positive patients were also infected with HDV. Median viral loads were 4.19 × 10 5 IU/ml for HBV (range, 769 to 9.82 × 10 9 IU/ml) and 1.4 × 10 6 IU/ml for HDV (range, 3.1 × 10 2 to 2.9 × 10 8 IU/ml). Genotypes A, E, and D of HBV and genotype 1 of HDV were detected. These high hepatitis prevalence rates highlight the necessity to include screening for hepatitis viruses in the yellow fever surveillance program in the DRC

Reasons for Being “Zero-Dose and Under-Vaccinated” among Children Aged 12–23 Months in the Democratic Republic of the Congo

(1) Introduction: The Democratic Republic of the Congo (DRC) has one of the largest cohorts of un- and under-vaccinated children worldwide. This study aimed to identify and compare the main reasons for there being zero-dose (ZD) or under-vaccinated children in the DRC. (2) Methods: This is a secondary analysis derived from a province-level vaccination coverage survey conducted between November 2021 and February 2022; this survey included questions about the reasons for not receiving one or more vaccines. A zero-dose child (ZD) was a person aged 12–23 months not having received any pentavalent vaccine (diphtheria–tetanus–pertussis–Hemophilus influenzae type b (Hib)–Hepatitis B) as per card or caregiver recall and an under-vaccinated child was one who had not received the third dose of the pentavalent vaccine. The proportions of the reasons for non-vaccination were first presented using the WHO-endorsed behavioral and social drivers for vaccination (BeSD) conceptual framework and then compared across the groups of ZD and under-vaccinated children using the Rao–Scott chi-square test; analyses were conducted at province and national level, and accounting for the sample approach. (3) Results: Of the 51,054 children aged 12–23 m in the survey sample, 19,676 ZD and under-vaccinated children were included in the study. For the ZD children, reasons related to people’s thinking and feelings were cited as 64.03% and those related to social reasons as 31.13%; both proportions were higher than for under-vaccinated children (44.7% and 26.2%, respectively, p p < 0.001). The distribution of reasons varied between provinces, e.g., 12 of the 26 provinces had a proportion of reasons for the ZD children relating to practical issues that was higher than the national level. (4) Conclusions: reasons provided for non-vaccination among the ZD children in the DRC were largely related to lack of parental/guardian motivation to have their children vaccinated, while reasons among under-vaccinated children were mostly related to practical issues. These results can help inform decision-makers to direct vaccination interventions