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OS20 - Predicting Foot-and-Mouth Disease virus in tropical endemic settings using an agent-based modeling framework - Sarah Mielke
1. 1EuFMD | Open Session special edition | #OS20se
Sarah R. Mielke, MPH, PhD1
Co-authors:
Rebecca Garabed, VMD, MPVM, PhD2
Laura Pomeroy, PhD3
Current Location
1) ORISE Fellow, Oak Ridge Institute for Science and Education, ARS/APHIS -
CEAH sarah.mielke@usda.gov; sarah.mielke@gmail.com / USA
2) The Ohio State University, College of Veterinary Medicine / USA
3) The Ohio State University, College of Public Health / USA
PREDICTING FOOT-AND-MOUTH DISEASE VIRUS
IN TROPICAL ENDEMIC SETTINGS USING AN
AGENT-BASED MODELING FRAMEWORK
2. 2EuFMD | Open Session special edition | #OS20se
Persistence of Foot-and-mouth disease virus (FMDV) in endemic tropical
environments presents a gap in our knowledge. This leads us to question how
FMDV persistence influences disease dynamics, in these environments, as an
indirect route of transmission.
As a result of our previous meta- and survival analyses1, we have found that when high
temperature and Relative Humidity exist, FMDV could persist in tropical regions.
Therefore we ask:
• Does an indirect route of transmission influence prediction of epidemics in this tropical setting?
• What proportion of infections will result from an indirect route of transmission?
• In this complex system, of sedentary and mobile herds, will indirect transmission influence disease
dynamics?
Focus
1. Mielke, S. R., & Garabed, R. (2019). Environmental persistence of foot-and-mouth disease virus applied to endemic regions.
Transboundary and Emerging Diseases. https://doi.org/10.1111/tbed.13383
3. 3
2. Moritz, M. (2018). Data from: Spatial and temporal characteristics of pastoral mobility in the Far North Region, Cameroon:
data analysis and modeling. Movebank data repository.
• Our objective was to build an Agent-based
model using known movement data2 and our
previous work to simulate the endemic
tropical region in the Far North of Cameroon.
• This modeling technique allowed us to
develop agents that would interact based on
a set of rules, while allowing patterns of
environmental persistence (contamination)
to emerge.
Objectives
EuFMD | Open Session special edition | #OS20se
4. 4
Indirect transmission results in the emergence of a seasonal pattern of
FMD outbreaks
Direct transmission accounts for the majority of infections
Model predictions suggest that environmental contamination increases
the proportion of indirect infection early in the dry season.
The differences in proportion of indirect transmission by herd type and
timing of direct infections in mobile herds suggests that herd mobility
influences transmission.
Outcomes
EuFMD | Open Session special edition | #OS20se