scholarly journals Lessons Learned from Reinforcing Epidemiologic Surveillance During the 2017 Ebola Outbreak in the Likati District, Democratic Republic of the Congo

2020 ◽  
Vol 18 (S1) ◽  
pp. S-81-S-91 ◽  
Author(s):  
Jennifer J. Hemingway-Foday ◽  
Bonaventure Fuamba Ngoyi ◽  
Christian Tunda ◽  
Kristen B. Stolka ◽  
Kathryn E. L. Grimes ◽  
...  
Keyword(s):  
Democratic Republic ◽  
Lessons Learned ◽  
Epidemiologic Surveillance ◽  
Republic Of The Congo

scholarly journals Antimicrobial resistance in a war-torn country: Lessons learned in the Eastern Democratic Republic of the Congo

One Health ◽  
2020 ◽  
Vol 9 ◽  
pp. 100120
Author(s):  
Gabriel Kambale Bunduki ◽  
Jean-Louis Mumbere Katembo ◽  
Ildéfonse Soly Kamwira
Keyword(s):  
Antimicrobial Resistance ◽  
Democratic Republic ◽  
Lessons Learned ◽  
Republic Of The Congo

The 1995 Kikwit Ebola outbreak—Model of virus properties on system capacity and function: A lesson for future viral epidemics

2007 ◽  
Vol 2 (5) ◽  
pp. 270-276 ◽  
Author(s):  
Ryan C.W. Hall, MD ◽  
Richard C.W. Hall, MD
Keyword(s):  
Ebola Virus ◽  
Democratic Republic ◽  
Healthcare Providers ◽  
Hospital Setting ◽  
Lessons Learned ◽  
System Capacity ◽  
Voluntary Organizations ◽  
Disease Characteristics ◽  
Republic Of The Congo ◽  
And Function

The 1995 Kikwit Ebola outbreak in the Democratic Republic of the Congo is one of the first Ebola outbreaks to be treated in a hospital setting and is one of the most well-studied Ebola epidemics to have occurred to date. Many of the lessons learned from identifying, containing, and treating the epidemic are applicable to future viral outbreaks. This article looks at the characteristics of the Ebola virus and health system issues, which affected the healthcare providers’ ability to contain and treat the virus. It specifically examines factors such as the disease characteristics, surge capacity, supply issues, press involvement, and the involvement of voluntary organizations.

scholarly journals Lessons Learned about Pneumonic Plague Diagnosis from 2 Outbreaks, Democratic Republic of the Congo

2011 ◽  
Vol 17 (5) ◽  
pp. 778-784 ◽  
Author(s):  
Eric Bertherat ◽  
Philippe Thullier ◽  
Jean Christophe Shako ◽  
Kathleen England ◽  
Mamadou-Lamine Koné ◽  
...  
Keyword(s):  
Democratic Republic ◽  
Lessons Learned ◽  
Pneumonic Plague ◽  
Republic Of The Congo

scholarly journals Operational Considerations in Global Health Modeling

Pathogens ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1348
Author(s):  
Katherine M. Broadway ◽  
Kierstyn T. Schwartz-Watjen ◽  
Anna L. Swiatecka ◽  
Steven J. Hadeed ◽  
Akeisha N. Owens ◽  
...  
Keyword(s):  
Public Health ◽  
Modeling And Simulation ◽  
Democratic Republic ◽  
Lessons Learned ◽  
Modeling Tools ◽  
Epidemiological Modeling ◽  
Simulation Tools ◽  
Public Health Emergencies ◽  
Support Tools ◽  
Republic Of The Congo

Epidemiological modeling and simulation can contribute cooperatively across multifaceted areas of biosurveillance systems. These efforts can be used to support real-time decision-making during public health emergencies and response operations. Robust epidemiological modeling and simulation tools are crucial to informing risk assessment, risk management, and other biosurveillance processes. The Defense Threat Reduction Agency (DTRA) has sponsored the development of numerous modeling and decision support tools to address questions of operational relevance in response to emerging epidemics and pandemics. These tools were used during the ongoing COVID-19 pandemic and the Ebola outbreaks in West Africa and the Democratic Republic of the Congo. This perspective discusses examples of the considerations DTRA has made when employing epidemiological modeling to inform on public health crises and highlights some of the key lessons learned. Future considerations for researchers developing epidemiological modeling tools to support biosurveillance and public health operations are recommended.

scholarly journals Marginalisation, Ebola and Health for All: From Outbreak to Lessons Learned

2019 ◽  
Vol 16 (17) ◽  
pp. 3023 ◽  
Author(s):  
Clare Shelley-Egan ◽  
Jim Dratwa
Keyword(s):  
West Africa ◽  
Ebola Virus ◽  
Democratic Republic ◽  
Cultural Practices ◽  
Virus Disease ◽  
Lessons Learned ◽  
The Past ◽  
Multiple Dimensions ◽  
Republic Of The Congo ◽  
Main Components

The Ebola epidemic in West Africa between 2014 and 2015 was the deadliest since the discovery of the virus four decades ago. With the second-largest outbreak of Ebola virus disease currently raging in the Democratic Republic of the Congo, (DRC) it is clear that lessons from the past can be quickly forgotten—or be incomplete in the first instance. In this article, we seek to understand the health challenges facing marginalised people by elaborating on the multiple dimensions of marginalisation in the case of the West Africa Ebola epidemic. We trace and unpack modes of marginalisation, beginning with the “outbreak narrative” and its main components and go on to examine other framings, including the prioritisation of the present over the past, the positioning of ‘Us versus Them’; and the marginalisation—in responses to the outbreak—of traditional medicine, cultural practices and other practices around farming and hunting. Finally, we reflect on the ‘lessons learned’ framing, highlighting what is included and what is left out. In conclusion, we stress the need to acknowledge—and be responsive to—the ethical, normative framings of such marginalisation.

scholarly journals Operationalizing genomic epidemiology during the Nord-Kivu Ebola outbreak, Democratic Republic of the Congo

2020 ◽  
Author(s):  
Eddy Kinganda-Lusamaki ◽  
Allison Black ◽  
Daniel Mukadi ◽  
James Hadfield ◽  
Placide Mbala-Kingebeni ◽  
...  
Keyword(s):  
Ebola Virus ◽  
Democratic Republic ◽  
Health Workers ◽  
Sequence Data ◽  
Virus Disease ◽  
Scientific Progress ◽  
Outbreak Response ◽  
Genomic Epidemiology ◽  
Epidemiologic Surveillance ◽  
Republic Of The Congo

AbstractThe Democratic Republic of the Congo declared its tenth Ebola virus disease outbreak in July 2018, which has circulated primarily in the Nord Kivu province. In addition to standard epidemiologic surveillance and response efforts, the Institut National de Recherche Biomédicale implemented an end-to-end genomic surveillance system, including sequencing, bioinformatic analysis, and dissemination of genomic epidemiologic results to frontline public health workers. Here we report 538 new genomes from this outbreak; together with previously available sequence data (n = 48 genomes), this represents an unprecedented 17% of all laboratory-confirmed infections. To support outbreak response efforts, we reconstructed spatiotemporal transmission dynamics at broad and at fine scales as new data were available and disseminated the results via an interactive narrative-based platform. Our innovative system enables actionable information sharing between scientists and epidemiologists coordinating the day-to-day response on the time scales necessary to guide response efforts. The development of this genomic surveillance pipeline, within a resource-limited setting, represents significant technological and scientific progress in genomic epidemiology. Here we present a phylodynamic analysis of the outbreak as of February 2020, and describe the types of epidemiologic dynamics that we monitor the genomic data for, including resolution of co-circulating transmission chains, detection of superspreading events, inference of regions that act as transmission sources and sinks, and differentiation of closely linked cases versus propagated transmission. These findings have ameliorated the current outbreak response and are directly applicable to future outbreaks.

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