The ongoing Ebola outbreak in eastern DRC has caused 1,522 deaths, making it the second largest in history. Understanding the causes and expressions of deep-seated local resistance to international response efforts is essential to shortening the outbreak and saving lives.
Novetta is providing hands-on analysis via subject matter experts to our partners in the Ebola response community through the classification and analysis of sentiment and voice share in hyper-local and regional media content originating in the North Kivu Ebola hotspot. Novetta’s analysts identify distinct narratives and vectors of propagation from the voices of citizens, civil society stakeholders, Ebola response leadership, and others, driving insight into public perceptions in this remote and volatile region.
Novetta has provided guidance and insight to the NIH, CDC, WHO, IFRC, and others including the Social Science in Humanitarian Action Platform (SSHAP) which, earlier this week, published the third installment of their bulletin regarding the Ebola outbreak in eastern DRC. Covering the most complex period of the outbreak to date, the bulletin includes multiple citations of Novetta data, observations, and conclusions.
Novetta combines machine learning, human intelligence, and Novetta Mission Analytics (NMA) to drive insight specifically tailored to this problem set. NMA captures open-source material from high- and low-tech mediums, ranging from local leaflets and street surveys to national radio and highly interactive social media channels, enabling an adaptable approach to data collection and analysis. This format supports the overlay of contextual reasoning that is paramount for providing useful trends in local perception of the Ebola response efforts throughout the outbreak.
Take a look at our approach in neighboring Liberia in this Novetta Mission Analytics: Ebola Brochure.