Articles dans des revues avec comité de lecture (167)
38.
Thanapongtharm, W., Paul, M. C., Wiratsudakul, A., Wongphruksasoong, V., Kalpravidh, W., Wongsathapornchai, K., Damrongwatanapokin, S., Schar, D., & Gilbert, M. (2019). A spatial assessment of Nipah virus transmission in Thailand pig farms using multi-criteria decision analysis. BMC veterinary research, 15(1), 73. doi:10.1186/s12917-019-1815-y39.
Ippoliti, C., Candeloro, L., Gilbert, M., Goffredo, M., Mancini, G., Curci, G., Falasca, S., Tora, S., Di Lorenzo, A., Quaglia, M., & Conte, A. (2019). Defining ecological regions in Italy based on a multivariate clustering approach: A first step towards a targeted vector borne disease surveillance. PloS one, 14(7), e0219072. doi:10.1371/journal.pone.021907240.
Retkute, R., Jewell, C. C., Van Boeckel, T., Zhang, G., Xiao, X., Thanapongtharm, W., Keeling, M., Gilbert, M., & Tildesley, M. M. (2018). Dynamics of the 2004 avian influenza H5N1 outbreak in Thailand: The role of duck farming, sequential model fitting and control. Preventive veterinary medicine, 159, 171-181. doi:10.1016/j.prevetmed.2018.09.01441.
Hill, E. E., House, T., Dhingra, M. M., Kalpravidh, W., Morzaria, S., Osmani, M. M., Brum, E., Yamage, M., Kalam, M. M., Prosser, D. D., Takekawa, J. J., Xiao, X., Gilbert, M., & Tildesley, M. M. (2018). The impact of surveillance and control on highly pathogenic avian influenza outbreaks in poultry in Dhaka division, Bangladesh. PLoS computational biology, 14(9), e1006439. doi:10.1371/journal.pcbi.100643942.
Nicolas, G., Apolloni, A., Coste, C., Wint, W. G., Lancelot, R., & Gilbert, M. (2018). Predictive gravity models of livestock mobility in Mauritania: The effects of supply, demand and cultural factors. PloS one, 13(7), e0199547. doi:10.1371/journal.pone.019954743.
Dhingra, M. M., Artois, J., Dellicour, S., Lemey, P., Dauphin, G., Von Dobschuetz, S., Van Boeckel, T., Castellan, D., Morzaria, S., & Gilbert, M. (2018). Geographical and historical patterns in the emergences of novel highly pathogenic avian influenza (HPAI) H5 and H7 viruses in poultry. Frontiers in Veterinary Science, 5, 84. doi:10.3389/fvets.2018.0008444.
Artois, J., Ippoliti, C., Conte, A., Dhingra, M. M., Alfonso, P., Tahawy, A. E., Elbestawy, A., Ellakany, H. H., & Gilbert, M. (2018). Avian influenza A (H5N1) outbreaks in different poultry farm types in Egypt: The effect of vaccination, closing status and farm size. BMC veterinary research, 14(1), 187. doi:10.1186/s12917-018-1519-845.
Guinat, C., Nicolas, G., Vergne, T., Bronner, A., Durand, B., Courcoul, A., Gilbert, M., Guérin, J. L., & Paul, M. C. (2018). Spatio-temporal patterns of highly pathogenic avian influenza virus subtype H5N8 spread, France, 2016 to 2017. Euro surveillance, 23(26), 1700791. doi:10.2807/1560-7917.ES.2018.23.26.170079147.
Mellor, K., Meyer, A., Elkholly, D., Fournié, G., Long, P., Inui, K., Padungtod, P., Gilbert, M., Newman, S. S., Vergne, T., Pfeiffer, D. U., & Stevens, K. B. (2018). Comparative epidemiology of highly pathogenic avian influenza virus H5N1 and H5N6 in Vietnamese live bird markets: Spatiotemporal patterns of distribution and risk factors. Frontiers in Veterinary Science, 5(APR), 51. doi:10.3389/fvets.2018.0005148.
Hollings, T., Burgman, M., van Andel, M., Gilbert, M., Robinson, T. T., & Robinson, A. (2018). How do you find the green sheep? A critical review of the use of remotely sensed imagery to detect and count animals. Methods in ecology and evolution, 9(4), 881-892. doi:10.1111/2041-210X.1297349.
Tisseuil, C., Ducheyne, E., della Torre, A., Reiter, P., Gilbert, M., Velo, E., Bino, S., Kadriaj, P., Mersini, K., Shukullari, A., Simaku, A., Rogozi, E., & Caputo, B. (2018). Forecasting the spatial and seasonal dynamic of Aedes albopictus oviposition activity in Albania and Balkan countries. P L o S Neglected Tropical Diseases, 12(2), e0006236. doi:10.1371/journal.pntd.0006236