Evaluating the risk of conflict on recent Ebola outbreaks in Guinea and the Democratic Republic of the Congo.

BACKGROUND: Reducing Ebola virus transmission relies on the ability to identify cases and limit contact with infected bodily fluids through biosecurity, safe sex practices, safe burial and vaccination. Armed conflicts can complicate outbreak detection and interventions due to widespread disruption to governments and populations. Guinea and the Democratic Republic of the Congo (DRC) have historically reported the largest and the most recent Ebola virus outbreaks. Understanding if conflict played a role in these outbreaks may help in identifying key risks factors to improve disease control. METHODS: We used data from a range of publicly available data sources for both Ebola virus cases and conflict events from 2018 to 2021 in Guinea and the DRC. We fitted these data to conditional logistic regression models using the Self-Controlled Case Series methodology to evaluate the magnitude in which conflict increased the risk of reported Ebola virus cases in terms of incidence rate ratio. We re-ran the analysis sub-nationally, by conflict sub-event type and tested any lagged effects. RESULTS: Conflict was significantly associated with an increased risk of reported Ebola virus cases in both the DRC and Guinea in recent outbreaks. The effect was of a similar magnitude at 1.88- and 1.98-times increased risk for the DRC and Guinea, respectively. The greatest effects (often higher than the national values) were found in many conflict prone areas and during protest/riot-related conflict events. Conflict was influential in terms of Ebola virus risk from 1 week following the event and remained important by 10 weeks. CONCLUSION: Extra vigilance is needed following protests and riot-related conflict events in terms of Ebola virus transmission. These events are highly disruptive, in terms of access to transportation and healthcare and are often in urban areas with high population densities. Additional public health messaging around these types of conflict events, relating to the risks and clinical symptoms may be helpful in reducing transmission. Future work should aim to further understand and quantify conflict severity and intensity, to evaluate dose-response relationships in terms of disease risk.

Detection of Artemisinin Resistance Marker Kelch-13 469Y in Plasmodium falciparum, South Kivu, Democratic Republic of the Congo, 2022.

Partial artemisinin resistance has emerged in East Africa, posing a threat to malaria control across the continent. The Democratic Republic of the Congo carries one of the heaviest malaria burdens globally, and the South Kivu province directly borders current artemisinin resistance hot spots, but indications of such resistance have not been observed so far. We assessed molecular markers of antimalarial drug resistance in 256 Plasmodium falciparum isolates collected in 2022 in South Kivu, Democratic Republic of the Congo. One isolate carried the P. falciparum Kelch-13 469Y variant, a marker associated with partial artemisinin resistance and decreased lumefantrine susceptibility in Uganda. In addition, the multidrug resistance-1 mutation pattern suggested increased lumefantrine tolerance.

Barriers and facilitators in the implementation of bio-psychosocial care at the primary healthcare level in South Kivu, Democratic Republic of Congo.

BACKGROUND: In the Democratic Republic of Congo (DRC), healthcare services are still focused on disease control and mortality reduction in specific groups. The need to broaden the scope from biomedical criteria to bio-psychosocial (BPS) dimensions has been increasingly recognized. AIM: The objective of this study was to identify the barriers and facilitators to providing healthcare at the health centre (HC) level to enable BPS care. SETTINGS: This qualitative study was conducted in six HCs (two urban and four rural) in South-Kivu (eastern DRC) which were selected based on their accessibility and their level of primary healthcare organization. METHODS: Seven focus group discussions (FGDs) involving 29 healthcare workers were organized. A data synthesis matrix was created based on the Rainbow Model framework. We identified themes related to plausible barriers and facilitators for BPS approach. RESULTS: Our study reports barriers common to a majority of HCs: misunderstanding of BPS care by healthcare workers, home visits mainly used for disease control, solidarity initiatives not locally promoted, new resources and financial incentives expected, accountability summed up in specific indicators reporting. Availability of care teams and accessibility to patient information were reported as facilitators to change. CONCLUSION: This analysis highlighted major barriers that condition providers' mindset and healthcare provision at the primary care level in South-Kivu. Accessibility to the information regarding BPS status of individuals within the community, leadership of HC authorities, dynamics of HC teams and local social support initiatives should be considered in order to develop an effective BPS approach in this region.

Etiology of Early-Onset Neonatal Sepsis and Antibiotic Resistance in Bukavu, Democratic Republic of the Congo.

BACKGROUND: The Democratic Republic of the Congo (DRC) has one of the highest neonatal death rates (between 14% and 28%) in the world. In the DRC, neonatal sepsis causes 15.6% of this mortality, but data on the bacterial etiology and associated drug susceptibility are lacking. METHODS: Hemocultures of 150 neonates with possible early-onset neonatal sepsis (pEOS) were obtained at the Hôpital Provincial Général de Référence de Bukavu (Bukavu, DRC). The newborns with pEOS received an empirical first-line antimicrobial treatment (ampicillin, cefotaxime, and gentamicin) based on the synopsis of international guidelines for the management of EOS that are in line with World Health Organization (WHO) recommendations. Isolates were identified using matrix-assisted laser desorption/ ionization time-of-flight mass spectrophotometry. Antibiotic resistance was assessed using the disk diffusion method. RESULTS: Fifty strains were obtained from 48 patients and identified. The 3 most prevalent species were Enterobacter cloacae complex (42%), Klebsiella pneumoniae (18%), and Serratia marcescens (12%). Enterobacter cloacae isolates were resistant to all first-line antibiotics. All K. pneumoniae and S. marcescens isolates were resistant to ampicillin, and the majority of the K. pneumoniae and half of the S. marcescens isolates were resistant to both cefotaxime and gentamicin. All E. cloacae complex strains, 89% of K. pneumoniae, and half of S. marcescens had an extended-spectrum ß-lactamase phenotype. CONCLUSIONS: The most prevalent pathogens causing EOS in Bukavu were E. cloacae complex, K. pneumoniae, and S. marcescens. Most of these isolates were resistant to the WHO-recommended antibiotics.