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Home Biosurveillance

Virologists Use Genetic Trees to Evaluate Ebola Intervention Strategies

by Global Biodefense Staff
June 12, 2018
Virologists Use Genetic Trees to Evaluate Ebola Intervention Strategies

Health professionals carry away a deceased Ebola patient from a village in Sierra Leone. Photo: Maja George

The phylogenetic tree of the Ebola epidemic of 2013-2016 doesn’t just tell us how the Ebola virus was able to evolve: it also reveals which events and preventive measures accelerated or slowed down the spreading of the virus.

Between 2013 and 2016, West Africa suffered the most severe outbreak of Ebola ever recorded. In Guinea, Sierra Leone and Liberia, a total of 29,000 patients were diagnosed with the disease. More than 11,000 people didn’t survive.

Now the epidemic has passed there, but researchers are wondering which intervention strategies would have been most effective in containing the disease. Especially now the virus has resurfaced in the Democratic Republic of Congo.

Creating an Ebola family tree

With the genetic data of 1,610 samples from Ebola patients, researchers from the Rega Institute at KU Leuven mapped the spread of the Ebola virus in West-Africa between 2013 and 2016.

“We created a genetic family tree of the epidemic, in time as well as space, with the oldest DNA sample from early 2014 in Guinea, a sample of the virus when it entered Sierra Leone in March or April 2014, and so on,” says Professor Guy Baele from KU Leuven.

Closing the borders was an effective way to prevent Ebola from becoming an international epidemic. That’s important to know, as this type of intervention strategy obviously has major economic and social consequences.

Key role of the capitals

The researchers connected the family tree of the epidemic to other information, such as geographical information and transportation.

“Long-distance transportation, such as air travel by contaminated people, doesn’t appear to have been important in spreading the virus,” says postdoctoral researcher Simon Dellicour from KU Leuven. “Contrary to what happens during a flu epidemic, the Ebola epidemic spread due to short-distance travelling. The epidemic stepped up its pace once the virus had reached Conakry, Freetown and Monrovia – the capitals of Guinea, Sierra Leone and Liberia, respectively. These capitals attracted the virus, so to speak, and played a key role in spreading it.”

Closing international borders

The findings also reveal which policy measures can successfully slow down or, conversely, accelerate the spread of the Ebola virus.

“Guinea, Sierra Leone and Liberia have each closed their international borders at a different moment in time. These interventions are visible in our phylogenetic tree of the Ebola virus and we also see how the virus continued to evolve afterwards. Closing the borders was an effective way to prevent Ebola from becoming an international epidemic. That’s important to know, as this type of intervention strategy obviously has major economic and social consequences. Preventive measures within one city or district would have made little difference: we believe that a coordinated approach would have had a bigger impact.”

This research method gives us a quick and accurate view of the key times and locations of the Ebola epidemic. That teaches us where and when we should have intervened.

Potential for on-going epidemics

“This research method gives us a quick and accurate view of the key times and locations of the Ebola epidemic,” Baele continues. “That teaches us where and when we should have intervened.”

“This information is not only useful for Ebola, but for on-going epidemics as well. For one thing, we want to apply this phylogenetic inference-based technique to rabies, a disease that still kills 60,000 people each year in Asia and Africa.”


Phylodynamic assessment of intervention strategies for the West African Ebola virus outbreak. Nature Communications, 8 June 2018

Abstract: Genetic analyses have provided important insights into Ebola virus spread during the recent West African outbreak, but their implications for specific intervention scenarios remain unclear. Here, we address this issue using a collection of phylodynamic approaches. We show that long-distance dispersal events were not crucial for epidemic expansion and that preventing viral lineage movement to any given administrative area would, in most cases, have had little impact. However, major urban areas were critical in attracting and disseminating the virus: preventing viral lineage movement to all three capitals simultaneously would have contained epidemic size to one-third. We also show that announcements of border closures were followed by a significant but transient effect on international virus dispersal. By quantifying the hypothetical impact of different intervention strategies, as well as the impact of barriers on dispersal frequency, our study illustrates how phylodynamic analyses can help to address specific epidemiological and outbreak control questions.

This research was funded by Research Foundation – Flanders (FWO), the European Research Council (Consolidator Grant no. 725422-ReservoirDOCS) and the Wellcome Trust (Grant 206298/Z/17/Z).

Tags: BioinformaticsEbolaEditor PickGenomicsSelect Agents

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