Background: Healthcare workers (HCWs) are at the frontline of response to the COVID-19 pandemic. Protecting HCWs is of paramount importance to the World Health Organization (WHO). Outbreak investigation which is based on a critical assessment of core components of infection prevention and control (IPC) programs allows for the identification of different sources of exposure to the COVID-19 virus and for informing additional IPC recommendations. To date, the Democratic Republic of the Congo (DRC) is categorized as a high-risk country due to weaknesses in the health system, low capacity for diagnosis, socioeconomic characteristics of the population, and insufficient vaccination coverage. Aim: To investigate the burden of COVID-19 among HCWs and identification of IPC gaps to reduce HCWs-associated infection at different levels (facilities, communities, and points of entry) following the WHO strategy for IPC program implementation during the first to the third wave of the pandemic. Methods: A retrospective cohort study was conducted using the DRC National Department of Health (NDOH) database and WHO questionnaire suspected and confirmed COVID-19 cases among HCWs from 10/03/2020 to 22/06/2021. The investigation was conducted by a trained IPC response team to identify the sources of the exposures. The questionnaire included demographics, profession, types of interaction between HCWs and patients, and community-based questions regarding family members and other behaviors. These variables were assessed using a multimodal strategy framework. Knowledge and adherence to IPC gaps using WHO guidelines were performed for each COVID-19-positive or suspected HCW. WHO rapid Scorecard dashboard was conducted for evaluating healthcare facilities (HCFs) performance during the COVID-19 pandemic. Results: Cumulative incidence of positive HCWs was 809 /35,898(2.2%) from the first to the third wave of COVID-19 among 6 provinces of DRC. The distribution of the HCWs infected by COVID-19 was predominated by nurses (42%), doctors (27%), biologists (8%), environmental health practitioners (5%), interns (3%), and other categories (15%). Other categories included nutritionists, physiotherapists, midwives, pharmacists, and paramedics. The investigation revealed that about 32% of HCWs were infected from household contacts, 11% were infected by HCFs, 35% were infected in the community and 22% were infected from unknown exposures. The mean score of IPC performance for all evaluated HCFs was 27/42(64%). This shows that IPC performance was moderate. Lower or minimal performance was noted in the implementation of the IPC program at the national and facility level, triage and screening, isolation handwashing and multimodal strategies of hand hygiene, PPE availability, and rationale, waste segregation, waste disposal, sterilization, and training of HCWs. Conclusion: This study revealed that the prevalence of HCWs who tested positive for the COVID-19 virus was high among frontline healthcare workers from 6 provinces of DRC. A high prevalence of nosocomial infection was correlated with insufficient IPC adherence in the context of COVID-19. Strategies to strengthen IPC capacity building and provide HCWs with sufficient PPE stocks and budgets may improve IPC performance in the Democratic Republic of the Congo. This will further allow for adherence to WHO recommendations for successful program implementation to minimize COVID-19 transmission in HCFs, communities, and public gatherings. And this may be transferable to other infectious diseases.

The Democratic Republic of the Congo (DRC) conducted a national self-assessment of the 2005 International Health Regulations (IHR) core capacities using the revised 2021 electronic State Party Self-Assessment Annual Reporting tool. Held in March 2022, the hybrid workshop involved multisectoral stakeholders and evaluated 15 core capacities. The average national score was 36%, indicating limited capacity to implement IHR and the 2019 National Action Plan for Health Security. Four capacities, including points of entry and radiation emergencies, showed no capacity, while 10 were classified as limited. Only the IHR coordination reached the developed capacity level. Key weaknesses were identified in emergency operations, laboratory systems and legal preparedness. Strengths included One Health integration and risk communication efforts. These findings underscore the urgent need to improve multisectoral coordination, operational readiness and infrastructure investment to meet IHR requirements and better respond to public health threats. Strategic recommendations were proposed to guide national and international support.

This review aims to explore the implications of climate change for breast cancer management and prevention, with a focus on global strategies and interventions that can be applied in various contexts, including South Africa. Climate change has emerged as a significant global health concern, with far-reaching implications for various diseases, including cancer. This systematic review aims to synthesise epidemiological research examining the relationship between climate change and the incidence of breast cancer. We conducted a comprehensive literature search using main search terms, including “breast cancer,” “climate change,” “air pollution,” “water pollution,” “global warming,” and “greenhouse effect,” supplemented by the general term “breast” cancer across multiple databases. Our analysis identified studies that link environmental changes—such as rising temperatures, altered precipitation patterns, and increased exposure to pollutants—with breast cancer risk. Our findings highlight a potential association between climate-related factors, including heat stress, air and water pollution, endocrine-disrupting chemicals, and lifestyle changes influenced by environmental shifts, and the epidemiology of breast cancer. This review underscores the need for an integrated approach that incorporates climate science into public health strategies to mitigate breast cancer risk. By elucidating these connections, we aim to inform policymakers and healthcare professionals about the importance of addressing climate change not just as an environmental issue, but as a pressing determinant of health that may exacerbate cancer incidence, particularly in vulnerable populations. Further research is warranted to elucidate the underlying biological mechanisms and to develop targeted interventions that can address both climate change and its potential health impacts.

Background: This commentary analyzes demographic, clinical, and occupational characteristics associated with Ebola virus disease (EVD) outcomes during the 2018–2020 outbreak in the Democratic Republic of Congo (DRC). Methods: A total of 3477 EVD cases were included. Descriptive statistics and univariate and multivariate Cox regression analyses were performed to evaluate associations between clinical outcomes and patient characteristics. Comorbidity estimates and healthcare worker (HCW) occupational exposure data were incorporated based on the literature. Results: The median age was 26.5 years (SD = 16.1), with the majority (59.7%) aged 20–59. Males represented 51.3% of the cohort. Most patients (81.8%) worked in occupations that were not disease-exposing. Overall, 450 patients (12.9%) died. Although comorbidities initially appeared predictive of mortality (unadjusted HR: 3.05; 95% CI: 2.41–3.87), their effect was not statistically significant after adjustment (adjusted HR: 1.17; 95% CI: 0.87–1.59; p = 0.301). The strongest predictor of death was clinical status at admission: patients classified as “very sick” had an alarmingly high adjusted hazard ratio (HR) of 236.26 (95% CI: 33.18–1682.21; p < 0.001). Non-disease-exposing occupations were also associated with increased mortality (adjusted HR: 1.75; 95% CI: 1.33–2.31; p < 0.001). Conclusions: Despite improvements in outbreak response, mortality remains disproportionately high among patients presenting in critical condition and those outside the health sector. These findings underscore the importance of early detection strategies and enhanced protection for all occupational groups during EVD outbreaks.

Objective: Obesity and mediators of inflammation have been identified as the most important risk and predictive factors in postmenopausal breast cancer (BC) survivors using aromatase inhibitors (AIs). This study was conducted to assess the impact of point of care technology (PCOT) as part of pathology supported genetic testing (PSGT) to prevent BC therapy-associated comorbidities in African settings. Results: The study revealed that high sensitivity C-reactive protein (hs-CRP) and body mass index (BMI) are predictors of cardiovascular (CVD) related adverse events in obese postmenopausal patients subjected to AIs. There were statistically significant variations in total body fat (TBF), weight, hs-CRP, body mass index (BMI), homocysteine, ferritin, and calcium between baseline and after 24 months of follow-up. The above inflammatory markers can be incorporated in pathology supported genetic testing (PSGT) using HyBeacon® probe technology at POC for prediction and management of AI-associated adverse events among postmenopausal breast cancer survivors and associated comorbidities. The barriers for implementation of POCT application among six African countries for diagnosis of breast cancer were documented as insufficient of BC diagnosis and management capacity at different levels of health system.

Background: The 2026 outbreak of Bundibugyo Ebola virus disease (BDBV) in eastern Democratic Republic of the Congo (DRC), centered in Ituri Province, represents the largest documented outbreak caused by Bundibugyo ebolavirus since its discovery in Uganda in 2007. The outbreak evolved within a complex humanitarian setting characterized by armed conflict, population displacement, mining-related migration, weak health systems, extensive population mobility, and an infodemic environment marked by misinformation and reduced public trust. We conducted a field investigation to assess epidemiological, operational, laboratory, infection prevention and control (IPC), community engagement, risk communication, and infodemic management challenges and identify priority interventions to strengthen outbreak control. Methods: A rapid field assessment was conducted between 12–15 June 2026 in Bunia, Rwampara Health Zone, and the Ituri Provincial Public Health Laboratory. Data were collected through direct observation, review of surveillance and laboratory reports, health facility assessments, stakeholder interviews, and analysis of outbreak response indicators. Epidemiological trends, surveillance performance, laboratory capacity, clinical care, IPC activities, logistics, risk communication, community engagement, and infodemic management approaches were evaluated. Results: As of 12 July 2026, the outbreak had resulted in 1926 laboratory-confirmed cases and 702 deaths, corresponding to an overall case fatality rate (CFR) of 36.4% across affected provinces. Ituri Province remained the epicenter, accounting for 90.8% of confirmed cases (1705/1877) and 85.5% of reported deaths (577/675). During the preceding 24 h, 53 new confirmed cases and 30 deaths were reported, including 20 community deaths (66.7%), highlighting persistent delays in detection, referral, and access to care. Surveillance systems identified 766 alerts, of which 678 (88.5%) were investigated, resulting in 235 suspected cases. Contact tracing remained a major challenge, with only 64.4% (4171/6475) of registered contacts successfully followed, below the recommended ≥95% target. Laboratory activities included testing of 137 specimens, with 29 positive results and an overall positivity rate of 21.2%. Decentralized molecular diagnostic platforms improved access to testing; however, data inconsistencies, delayed investigations, and gaps in outcome classification affected response monitoring. Major operational challenges included limited treatment capacity, high occupancy of Ebola treatment centres, shortages of trained personnel and IPC supplies, insecurity affecting response teams, and insufficient preparedness in newly affected areas. Community resistance, attacks on burial teams, detention of frontline responders, misinformation, and rumors contributed to delayed care-seeking, reduced acceptance of public health measures, and incomplete cooperation with contact tracing. Risk communication and community engagement efforts were constrained by limited outreach capacity, language barriers, low trust, and inadequate systems for rumor detection and infodemic response. Conclusions: The ongoing BDBV outbreak in eastern DRC demonstrates the difficulty of controlling Ebola transmission in conflict-affected and socially complex settings. Sustained transmission, community deaths, geographic expansion, and operational constraints highlight the urgent need to strengthen surveillance, contact tracing, laboratory systems, IPC capacity, clinical care, and integrated risk communication and infodemic management strategies. Building trust through community-centered approaches, proactive misinformation management, and engagement of trusted local actors will be essential to accelerate outbreak containment and strengthen preparedness across the Great Lakes region.