Health officials in eastern Democratic Republic of Congo are utilizing anonymized mobile-phone data to track population movements and pinpoint potential areas where Ebola could spread next, as reported by the World Health Organization (WHO) and collaborating researchers.
This innovative approach, a first in Ebola response efforts, is being implemented amid challenges in containing what the WHO has labeled as the fastest-growing Ebola outbreak to date. With cases confirmed in six provinces and over 6,250 individuals infected and 3,039 fatalities reported since the outbreak’s commencement on May 15, the gravity of the situation is evident.
The current Ebola outbreak, the 17th in Congo, is attributed to the Bundibugyo strain of the virus, for which no approved vaccines or treatments exist.
Given the escalating spread of the virus, health officials are keen on predicting potential outbreak locations and efficiently deploying surveillance and response resources to combat it effectively.
Olivier Le Polain, head of epidemiology and analytics for response at the WHO Health Emergencies Programme, emphasized the significance of population movements in outbreak dynamics, particularly underscored in the current epidemic.
Unlike traditional risk assessments that focus on outbreak epicenters, the analysis of mobility data enables responders to identify risks in areas geographically distant but closely linked through travel patterns, offering a more nuanced understanding of potential threats.
For instance, in Ituri province, where the outbreak is presumed to have originated, substantial population movements linked to mining activities and trade underscore the necessity of comprehending these dynamics to curb the outbreak’s spread.
The analysis, facilitated by Swedish non-profit Flowminder, leverages anonymized mobile phone records to estimate travel patterns of individuals moving across different regions within the country. Notably, Vodacom, Congo’s leading telecom operator, provides the data free of charge for this purpose.
Flowminder ensures the privacy of individuals by working with aggregated and anonymized records, refraining from accessing information that could identify specific subscribers. This data aids in predicting how infectious individuals move within the population.
Initial analyses by Flowminder focused on areas where the outbreak likely commenced, such as Bunia, Mongbwalu, and Rwampara, tracking travel patterns between those regions during specific periods. The subsequent findings revealed connections to nearby areas, with all major destinations of travelers from the outbreak zones reporting confirmed Ebola cases by June.
As the outbreak expanded, Flowminder extended its analysis to other affected regions, identifying potential travel destinations from hotspots. Noteworthy was the risk associated with Kisangani, a critical transport hub connecting eastern and western Congo, indicating the need for reinforced operations in advance of confirmed cases.
Recent studies highlighted connections between Kisangani and key regions like Kinshasa and settlements along the Congo River, emphasizing the risk of the outbreak spreading to these areas. The WHO’s modeling exercises have underscored the potential for the outbreak to reach Kinshasa and neighboring countries, warranting ongoing vigilance.
Despite its benefits, the data analysis has limitations, primarily relying on data from Congolese mobile networks and a single operator, Vodacom. Efforts are underway to engage with other telecom operators to enhance data coverage and accuracy for a more comprehensive understanding of population movements.
