Inferring livestock movement networks from archived data to support infectious disease control in developing countries
A. Muwonge, P. Bessel, T. Porphyre, M. Paolo, G. Rydevik, G. Devailly, E. N. Franklyn, R. F. Kelly, I. Handel, S. Mazeri, B. M. Bronsvoort
This paper compares network methods using demographic and molecular data to infer livestock movement networks and evaluate their utility in disease control in low-middle-income countries.
bioRxiv · Mar 18, 2021 · PreprintScientific Communication & Education