12 research outputs found

    Community engagement for successful COVID-19 pandemic response: 10 lessons from Ebola outbreak responses in Africa

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    Publisher's version (Ăștgefin grein)[No abstract available]The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.Peer Reviewe

    Recommendations for the COVID-19 Response at the National Level Based on Lessons Learned from the Ebola Virus Disease Outbreak in the Democratic Republic of the Congo.

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    The tenth outbreak of Ebola virus disease (EVD) in North Kivu, the Democratic Republic of the Congo (DRC), was declared 8 days after the end of the ninth EVD outbreak, in the Equateur Province on August 1, 2018. With a total of 3,461 confirmed and probable cases, the North Kivu outbreak was the second largest outbreak after that in West Africa in 2014-2016, and the largest observed in the DRC. This outbreak was difficult to control because of multiple challenges, including armed conflict, population displacement, movement of contacts, community mistrust, and high population density. It took more than 21 months to control the outbreak, with critical innovations and systems put into place. We describe systems that were put into place during the EVD response in the DRC that can be leveraged for the response to the current COVID-19 global pandemic

    A retrospective evaluation of the quality of malaria case management at twelve health facilities in four districts in Zambia

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    Objective: To establish the appropriateness of malaria case management at health facility level in four districts in Zambia. Methods: This study was a retrospective evaluation of the quality of malaria case management at health facilities in four districts conveniently sampled to represent both urban and rural settings in different epidemiological zones and health facility coverage. The review period was from January to December 2008. The sample included twelve lower level health facilities from four districts. The Pearson Chi-square test was used to identify characteristics which affected the quality of case management. Results: Out of 4891 suspected malaria cases recorded at the 12 health facilities, more than 80% of the patients had a temperature taken to establish their fever status. About 67% (CI95 66.1-68.7) were tested for parasitemia by either rapid diagnostic test or microscopy, whereas the remaining 22.5% (CI95 21.3.1-23.7) were not subjected to any malaria test. Of the 2247 malaria cases reported (complicated and uncomplicated), 71% were parasitologically confirmed while 29% were clinically diagnosed (unconfirmed). About 56% (CI95 53.9-58.1) of the malaria cases reported were treated with artemether-lumefantrine (AL), 35% (CI95 33.1-37.0) with sulphadoxine-pyrimethamine, 8% (CI95 6.9-9.2) with quinine and 1% did not receive any anti-malarial. Approximately 30% of patients WHO were found negative for malaria parasites were still prescribed an anti-malarial, contrary to the guidelines. There were marked inter-district variations in the proportion of patients in WHOm a diagnostic tool was used, and in the choice of anti-malarials for the treatment of malaria confirmed cases. Association between health worker characteristics and quality of case malaria management showed that nurses performed better than environmental health technicians and clinical officers on the decision whether to use the rapid diagnostic test or not. Gender, in service training on malaria, years of residence in the district and length of service of the health worker at the facility were not associated with diagnostic and treatment choices. Conclusions: Malaria case management was characterised by poor adherence to treatment guidelines. The non-adherence was mainly in terms of: inconsistent use of confirmatory tests (rapid diagnostic test or microscopy) for malaria; prescribing anti-malarials which are not recommended (e.g. sulphadoxine-pyrimethamine) and prescribing anti-malarials to cases testing negative. Innovative approaches are required to improve health worker adherence to diagnosis and treatment guidelines

    Diabetes in an emergency context: the Malian case study

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    BACKGROUND: The World Health Organization proposes 6 building blocks for health systems. These are vulnerable to challenges in many contexts. Findings from a 2004 assessment of the health system in Mali for diabetes care found many barriers were present for the management and care of this condition. Following this assessment different projects to strengthen the healthcare system for people living with diabetes were undertaken by a local NGO, SantĂ© DiabĂšte. CASE DESCRIPTION: In March 2012, following a Coup in Bamako, the northern part of Mali was occupied and cut-off from the rest of the country. This had a major impact on the health system throughout the country. Due to the lack of response by humanitarian actors, SantĂ© DiabĂšte in close collaboration with other local stakeholders developed a humanitarian response for patients with diabetes. This response included evacuation of children with Type 1 diabetes from northern regions to Bamako; supplies of medicines and tools for management of diabetes; and support to people with diabetes who moved from the north to the south of the country. DISCUSSION: It has been argued that diabetes is a good tracer for health systems and based on SantĂ© DiabĂšte’s experience in Mali, diabetes could also be used as a tracer in the context of emergencies. One lesson from this experience is that although people with diabetes should be included as a vulnerable part of the population they are not considered as such. Also within a complex emergency different “diabetes populations” may exist with different needs requiring tailored responses, such as internally displaced people versus those still in conflict areas. From SantĂ© DiabĂšte’s perspective, the challenge was changing the ways it operated from a development NGO to an emergency NGO. In this role it could rely on its knowledge of the local situation and its function as part of the post-conflict situation. CONCLUSION: The lessons learnt from this experience by SantĂ© DiabĂšte in Mali may be useful for other NGOs and the humanitarian response in general in addressing the challenge of managing non communicable diseases and diabetes in conflict and disaster situations in countries with weak health systems

    Assessing the accuracy of health facility typology in representing the availability of health services: a case study in Mali

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    Introduction: Using health facility types as a measure of service availability is a common approach in international standards for health system policy and planning. However, this proxy may not accurately reflect the actual availability of specific health services. Objective: This study aims to evaluate the reliability of health facility typology as an indicator of specific health service availability and explore whether certain facility types consistently provide particular services. Design: We analysed a comprehensive dataset containing information from 1725 health facilities in Mali. To uncover and visualise patterns within the dataset, we used two analytical techniques: Multiple Correspondence Analysis and Between-Class Analysis. These analyses allowed us to quantitatively measure the influence of health facility types on the variation in health service provisioning. Additionally, we developed and calculated a Consistency Index, which assesses the consistency of a health facility type in providing specific health services. By examining various health facilities and services, we sought to determine the accuracy of facility types as indicators of service availability. Setting: The study focused on the health system in Mali as a case study. Results: Our findings indicate that using health facility types as a proxy for service availability in Mali is not an accurate representation. We observed that most of the variation in service provision does not stem from differences between facility types but rather within facility types. This suggests that relying solely on health facility typology may lead to an incomplete understanding of health service availability. Conclusions: These results have significant implications for health policy and planning. The reliance on health facility types as indicators for health system policy and planning should be reconsidered. A more nuanced and evidence-based understanding of health service availability is crucial for effective health policy and planning, as well as for the assessment and monitoring of health systems.</p

    The design and implementation of the re-vitalised integrated disease surveillance and response (IDSR) in Uganda, 2013–2016

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    Abstract Background Uganda adopted and has been implementing the Integrated Disease Surveillance (IDSR) strategy since 2000. The goal was to build the country’s capacity to detect, report promptly, and effectively respond to public health emergencies and priorities. The considerable investment into the program startup realised significant IDSR core performance. However, due to un-sustained funding from the mid-2000s onwards, these achievements were undermined. Following the adoption of the revised World Health Organization guidelines on IDSR, the Uganda Ministry of Health (MoH) in collaboration with key partners decided to revitalise IDSR and operationalise the updated IDSR guidelines in 2012. Methods Through the review of both published and unpublished national guidelines, reports and other IDSR program records in addition to an interview of key informants, we describe the design and process of IDSR revitalisation in Uganda, 2013–2016. The program aimed to enhance the districts’ capacity to promptly detect, assess and effectively respond to public health emergencies. Results Through a cascaded, targeted skill-development training model, 7785 participants were trained in IDSR between 2015 and 2016. Of these, 5489(71%) were facility-based multi-disciplinary health workers, 1107 (14%) comprised the district rapid response teams and 1188 (15%) constituted the district task forces. This training was complemented by other courses for regional teams in addition to the provision of logistics to support IDSR activities. Centrally, IDSR implementation was coordinated and monitored by the MoH’s national task force (NTF) on epidemics and emergencies. The NTF and in close collaboration with the WHO Country Office, mobilised resources from various partners and development initiatives. At regional and district levels, the technical and political leadership were mobilised and engaged in monitoring and overseeing program implementation. Conclusion The IDSR re-vitalization in Uganda highlights unique features that can be considered by other countries that would wish to strengthen their IDSR programs. Through a coordinated partner response, the program harnessed resources which primarily were not earmarked for IDSR to strengthen the program nation-wide. Engagement of the local district leadership helped promote ownership, foster accountability and sustainability of the program

    Investigation of and Strategies to Control the Final Cluster of the 2018–2020 Ebola Virus Disease Outbreak in the Eastern Democratic Republic of Congo

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    Background: On April 10, 2020, while the independent committee of the International Health Regulation was meeting to decide whether the 10th Ebola outbreak in the Demogratic Republic of Congo still constituted a Public Health Emergency of International Concern, a new confirmed case was reported in the city of Beni, the last epicenter of the epidemic. This study aimed to understand the source of this cluster and learn from the implemented control strategies for improved response in the future. Methods: We conducted a combined epidemiological and genomic investigation to understand the origins and dynamics of transmission within this cluster and describe the strategy that successfully controlled the outbreak. Results: Eight cases were identified as belonging to this final cluster. A total of 1028 contacts were identified. Whole-genome sequencing revealed that all cases belonged to the same cluster, the closest sequence to which was identified as a case from the Beni area with symptom onset in July 2019 and a difference of just 31 nucleotides. Outbreak control measures included community confinement of high-risk contacts. Conclusions: This study illustrates the high risk of additional flare-ups in the period leading to the end-of-outbreak declaration and the importance of maintaining enhanced surveillance and confinement activities to rapidly control Ebola outbreaks.</p

    Genomic Epidemiology of 2015-2016 Zika Virus Outbreak in Cape Verde

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    During 2015-2016, Cape Verde, an island nation off the coast of West Africa, experienced a Zika virus (ZIKV) outbreak involving 7,580 suspected Zika cases and 18 microcephaly cases. Analysis of the complete genomes of 3 ZIKV isolates from the outbreak indicated the strain was of the Asian (not African) lineage. The Cape Verde ZIKV sequences formed a distinct monophylogenetic group and possessed 1-2 (T659A, I756V) unique amino acid changes in the envelope protein. Phylogeographic and serologic evidence support earlier introduction of this lineage into Cape Verde, possibly from northeast Brazil, between June 2014 and August 2015, suggesting cryptic circulation of the virus before the initial wave of cases were detected in October 2015. These findings underscore the utility of genomic-scale epidemiology for outbreak investigations.status: publishe
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