Lessons Learned from On-the-Ground Conservation in Rwanda and the Democratic Republic of the Congo

Author(s):  
Andrew J. Plumptre
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 ◽  
...  

One Health ◽  
2020 ◽  
Vol 9 ◽  
pp. 100120
Author(s):  
Gabriel Kambale Bunduki ◽  
Jean-Louis Mumbere Katembo ◽  
Ildéfonse Soly Kamwira

2007 ◽  
Vol 2 (5) ◽  
pp. 270-276 ◽  
Author(s):  
Ryan C.W. Hall, MD ◽  
Richard C.W. Hall, MD

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.


2011 ◽  
Vol 17 (5) ◽  
pp. 778-784 ◽  
Author(s):  
Eric Bertherat ◽  
Philippe Thullier ◽  
Jean Christophe Shako ◽  
Kathleen England ◽  
Mamadou-Lamine Koné ◽  
...  

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 ◽  
...  

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.


Author(s):  
Clare Shelley-Egan ◽  
Jim Dratwa

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.


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