Lessons learned by surveillance during the tail-end of the Ebola outbreak in Guinea, June-October 2015: a case series

How has Guinea learnt from the response to outbreaks? A learning health system analysis

INTRODUCTION

Learning is a key attribute of a resilient health system and, therefore, is central to health system strengthening. The main objective of this study was to analyse how Guinea's health system has learnt from the response to outbreaks between 2014 and 2021.

METHODS

We used a retrospective longitudinal single embedded case study design, applying the framework conceptualised by Sheikh and Abimbola for analysing learning health systems. Data were collected employing a mixed methods systematic review carried out in March 2022 and an online survey conducted in April 2022.

RESULTS

The 70 reports included in the evidence synthesis were about the 2014-2016 Ebola virus disease (EVD), Measles, Lassa Fever, COVID-19, 2021 EVD and Marburg virus disease. The main lessons were from 2014 to 2016 EVD and included: early community engagement in the response, social mobilisation, prioritising investment in health personnel, early involvement of anthropologists, developing health infrastructure and equipment and ensuring crisis communication. They were learnt through information (research and experts' opinions), action/practice and double-loop and were progressively incorporated in the response to future outbreaks through deliberation, single-loop, double-loop and triple-loop learning. However, advanced learning aspects (learning through action, double-loop and triple-loop) were limited within the health system. Nevertheless, the health system successfully controlled COVID-19, the 2021 EVD and Marburg virus disease. Survey respondents' commonly reported that enablers were the creation of the national agency for health security and support from development partners. Barriers included cultural and political issues and lack of funding. Common recommendations included establishing a knowledge management unit within the Ministry of Health with representatives at regional and district levels, investing in human capacities and improving the governance and management system.

CONCLUSION

Our study highlights the importance of learning. The health system performed well and achieved encouraging and better outbreak response outcomes over time with learning that occurred.

Impact of recurrent outbreaks of Ebola virus disease in Africa: a meta-analysis of case fatality rates

OBJECTIVES

Between 2010 and 2020, Africa witnessed several outbreaks of Ebola virus disease (EVD), each presenting with varying case fatality rate (CFR) and other socio-economic impacts. This study aims to summarize the CFR and identify potential factors that influenced the severity of EVD outbreaks in Africa.

STUDY DESIGN

This was a systematic review and meta-analysis of EVD outbreaks published between January 2010 and March 2020, using Web of Science, Scopus, and PubMed databases.

METHODS

Only English-language articles and reports, including the number of cases and deaths during the outbreak in Africa, were considered. The quality of the included articles was assessed using Murad's quality assessment tool. The analysis was conducted using Stata (version 12), pooled effect sizes were calculated using the random-effects model, and heterogeneity was tested for using the I² statistic.

RESULTS

Thirteen studies with 32,300 cases and 13,727 deaths were identified, whose pooled CFR was 60% (95% confidence interval [CI]: 47-73%). The most EVD-affected countries were the Democratic Republic of Congo with five outbreaks and a pooled CFR of 65% (95% CI: 59-71%), followed by Uganda with three outbreaks and CFR of 83% (95% CI: 60-99%). Zaire ebolavirus caused the most outbreaks (10), with a CFR of 58% (95% CI: 45-71%). Besides, outbreaks with fewer than 1000 cases reported a higher CFR rate (65%, 95% CI: 54-75%) compared with those with more cases (51%, 95% CI: 33-69%).

CONCLUSION

The study has revealed a considerably high CFR caused by the recurrent EVD outbreaks in Africa. It also notes an implementation gap in the prevention and control strategies and thus identifies a need to strengthen the surveillance systems and response mechanisms to enable early detection and prompt control of future outbreaks.

Ebola Virus Transmission Caused by Persistently Infected Survivors of the 2014-2016 Outbreak in West Africa

The 2014–2016 Ebola virus (EBOV) disease outbreak affected over 29000 people and left behind the biggest cohort (over 17000 individuals) of Ebola survivors in history. Although the persistence of EBOV in body fluids of survivors was reported before the recent outbreak, new evidence revealed that the virus can be detected up to 18 months in the semen, which represents the biggest risk of Ebola resurgence in affected communities. In this study, we review the knowledge on the Ebola flare-ups that occurred after the peak of the 2014–2016 Ebola epidemic in West Africa.

Surveillance in the field: Over-identification of Ebola suspect cases and its contributing factors in West African at-risk contexts

During an Ebola outbreak, the WHO recommends that health professionals consider people as suspect cases (SCs) when they show key signs such as the sudden onset of high fever or specific symptoms after having had contact with a suspect or confirmed Ebola case. SCs should then get care, be isolated and be reported to health authorities until the Ebola virus disease is confirmed through a lab test. This exploratory study aims to understand this identification process in the field based on a qualitative analysis of the diagnosis and therapeutic itineraries of 19 SCs in Cote d'Ivoire and Senegal (2014-2015). Results indicate that the main criteria for SC identification at the field level were fever (understood broadly) and provenance from a highly affected country (applied indiscriminately). WHO criteria were not followed in at least 9 of the 19 cases. Several medical, social and cultural factors favour over-identification of people as SCs, including relativism in defining 'high fever', placism, humanitarian or securitarian bias, issues in categorising SC's contact cases, and the context of fear. To avoid undue categorisation and its possible harmful social effects, the WHO definition should be implemented more carefully in various contexts and with greater consideration for ethical issues, while prioritising diagnosis strategies with higher specificity.