Evans, M. V., Ramiadantsoa, T., Kauffman, K., Moody, J., Nunn, C., Rabezara, J. Y., … Roche, B. (2022). Leveraging social network topology could improve the efficiency of SARS-CoV-2 epidemic control strategies in resource-limited contexts. medRxiv. https://doi.org/10.1101/2022.05.20.22275359

Evans, M. V., T. Ramiadantsoa, K. Kauffman, J. Moody, C. Nunn, J. Y. Rabezara, P. Raharimalala, et al. “Leveraging social network topology could improve the efficiency of SARS-CoV-2 epidemic control strategies in resource-limited contexts.” MedRxiv, 2022. https://doi.org/10.1101/2022.05.20.22275359.

Evans MV, Ramiadantsoa T, Kauffman K, Moody J, Nunn C, Rabezara JY, et al. Leveraging social network topology could improve the efficiency of SARS-CoV-2 epidemic control strategies in resource-limited contexts. medRxiv. 2022.

Evans, M. V., et al. “Leveraging social network topology could improve the efficiency of SARS-CoV-2 epidemic control strategies in resource-limited contexts.” MedRxiv, 2022. Epmc, doi:10.1101/2022.05.20.22275359.

Evans MV, Ramiadantsoa T, Kauffman K, Moody J, Nunn C, Rabezara JY, Raharimalala P, Randriamoria TM, Soarimalala V, Titcomb G, Garchitorena A, Roche B. Leveraging social network topology could improve the efficiency of SARS-CoV-2 epidemic control strategies in resource-limited contexts. medRxiv. 2022.