Assessing the preparedness of primary healthcare facilities during a cholera outbreak in Kinshasa, Democratic Republic of the Congo, 2018.

OBJECTIVE: During the 2017-2018 cholera outbreak in Kinshasa, many patients initially reported to primary healthcare centers (HCs) before being transferred to the nearest cholera treatment centers. This study aims to assess the level of preparedness of HCs in responding to cholera outbreaks. STUDY DESIGN: Descriptive cross-sectional survey. METHODS: We conducted a descriptive cross-sectional survey in 180 of 374 primary HCs in Kinshasa. We collected data on 14 cholera preparedness criteria and described their prevalence among HCs. We used logistic regression to assess the association between each preparedness criteria and previous reporting of cholera cases by HCs. RESULTS: The median number of preparedness criteria met by HCs was 5 [range: 0-11]. Five percent (n = 9) of HCs [95% confidence interval (CI): 2.3%-9.3%] met at least 10 criteria. HCs that previously reported ≥3 cholera cases were less likely to meet the criteria for 'presence of an isolation unit' (adjusted odds ratio [aOR]: 0.12; 95% CI [0.03-0.61]) and 'availability of sufficient quantity of chlorine' (aOR: 0.13; 95% CI [0.02-0.64]). CONCLUSIONS: Despite past experience of cholera cases, health facilities in Kinshasa exhibit a low level of cholera preparedness. There is a need to prioritize the reinforcement of the preparedness of primary HCs to prevent future cholera outbreaks.

Infectious disease outbreaks in the African region: overview of events reported to the World Health Organization in 2018.

The WHO African region is characterised by the largest infectious disease burden in the world. We conducted a retrospective descriptive analysis using records of all infectious disease outbreaks formally reported to the WHO in 2018 by Member States of the African region. We analysed the spatio-temporal distribution, the notification delay as well as the morbidity and mortality associated with these outbreaks. In 2018, 96 new disease outbreaks were reported across 36 of the 47 Member States. The most commonly reported disease outbreak was cholera which accounted for 20.8% (n = 20) of all events, followed by measles (n = 11, 11.5%) and Yellow fever (n = 7, 7.3%). About a quarter of the outbreaks (n = 23) were reported following signals detected through media monitoring conducted at the WHO regional office for Africa. The median delay between the disease onset and WHO notification was 16 days (range: 0-184). A total of 107 167 people were directly affected including 1221 deaths (mean case fatality ratio (CFR): 1.14% (95% confidence interval (CI) 1.07%-1.20%)). The highest CFR was observed for diseases targeted for eradication or elimination: 3.45% (95% CI 0.89%-10.45%). The African region remains prone to outbreaks of infectious diseases. It is therefore critical that Member States improve their capacities to rapidly detect, report and respond to public health events.

The health impact of the 2014-15 Ebola outbreak.

OBJECTIVES: The 2014-15 outbreak in West Africa was the largest and deadliest Ebola outbreak recorded; however, there remains uncertainty over its wider health consequences. Our objective was to provide a comprehensive overview of the impact of the Ebola outbreak on population health in the three most affected countries: Sierra Leone, Liberia and Guinea. STUDY DESIGN: Narrative review. METHODS: A narrative overview of the peer-reviewed and grey literature related to the impact and consequences of the Ebola outbreak was conducted, synthesizing the findings of literature retrieved from a structured search of biomedical databases, the Web and references of reviewed articles. RESULTS: The impact of the Ebola outbreak was profound and multifaceted. The health system was severely compromised due to overwhelming demand, healthcare workers deaths, resource diversion and closure of health facilities. Fear of Ebola and healthcare workers led to a breakdown in trust in health systems. Access to healthcare was compromised. Substantial reductions in healthcare utilization were reported including over 80% reductions in maternal delivery care in Ebola-affected areas, 40% national reductions in malaria admissions among children <5 years and substantial reductions in vaccination coverage. Socio-economic impacts included reduced community cohesion, education loss, reduced child protection, widespread job losses and food insecurity. Increased morbidity and mortality and reduced expected life expectancy were reported. CONCLUSIONS: This review highlights the scope and scale of the consequences of the Ebola outbreak on population health. Sustained commitment of the international community is required to support health system re-building and to urgently address unmet population health needs.

Characteristics and determinants of T-cell phenotype normalization in HIV-1-infected individuals receiving long-term antiretroviral therapy.

OBJECTIVES: Although combination antiretroviral therapy (cART) can restore CD4 T-cell numbers in HIV infection, alterations in T-cell regulation and homeostasis persist. We assessed the incidence and predictors of reversing these alterations with cART. METHODS: ART-naïve adults (n = 4459) followed within the Canadian Observational Cohort and exhibiting an abnormal T-cell phenotype (TCP) prior to cART initiation were studied. Abnormal TCP was defined as having (1) a low CD4 T-cell count (< 532 cells/µL), (2) lost T-cell homeostasis (CD3 < 65% or > 85%) or (3) CD4:CD8 ratio dysregulation (ratio < 1.2). To thoroughly evaluate the TCP, CD4 and CD8 T-cell percentages and absolute counts were also analysed for a median duration of 3.14 years [interquartile range (IQR) 1.48-5.47 years]. Predictors of TCP normalization were assessed using adjusted Cox proportional hazards models. RESULTS: At baseline, 96% of pateints had CD4 depletion, 32% had lost homeostasis and 99% exhibited ratio dysregulation. With treatment, a third of patients had normalized CD4 T-cell counts, but only 85 individuals (2%) had normalized their TCP. In a multivariable model adjusted for age, measurement frequency and baseline regimen, higher baseline CD4 T-cell counts and time-dependent viral suppression independently predicted TCP normalization [hazard ratio (HR) for baseline CD4 T-cell count = 1.42 (1.31-1.54) per 100 cells/µL increase; P ≤ 0.0001; HR for time-dependent suppressed viral load = 3.69 (1.58-8.61); P-value ≤ 0.01]. CONCLUSIONS: Despite effective cART, complete TCP recovery occurred in very few individuals and was associated with baseline CD4 T-cell count and viral load suppression. HIV-induced alterations of the TCP are incompletely reversed by long-term ART.