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
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 ◽  
...  

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.


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