Consortium-wide publications

Pre-print of first VIMC-wide publication. Li, X. et al. (2019). Estimating the health impact of vaccination against 10 pathogens in 98 low and middle income countries from 2000 to 2030. Posted on medRxiv 27 August 2019.

VIMC methodological paper. Echeverria Londono, S., Li X., Toor, J., de Villiers, M.J., Nayagam, S., Hallett, T.B., Abbas, K., Jit, M., Klepac, P., Jean, K., Garske, T., Ferguson, N.M., Gaythorpe, K.A.M. (2021). How can the public health impact of vaccination be estimated?. .


Lee, EC., Azman, AS., Kaminsky, J., Moore, S.M., McKay, H.S., Lessler, J. (2019). The projected impact of geographic targeting of oral cholera vaccination in sub-Saharan Africa: A modeling study. PLOS Medicine 11 Dec 2019.

Hepatitis B

Goldstein, S. T., Zhou, F., Hadler, S. C., Bell, B. P., Mast, E. E., & Margolis, H. S. (2005). A mathematical model to estimate global hepatitis B disease burden and vaccination impact. Int J Epidemiol, 34(6), 1329-1339. doi:10.1093/ije/dyi206.

Nayagam, S., Thursz, M., Sicuri, E., Conteh, L., Wiktor, S., Low-Beer, D. L., & Hallett, T. B. (2016). Requirements for global elimination of hepatitis B: a modelling study. Lancet Infectious Diseases, 16(12), 1399-1408.

Li, X., Wiesen, E., Diorditsa, S., Toda, K., Duong, T. H., Nguyen, L. H., Nguyen, T. H. (2016). Impact of Adverse Events Following Immunization in Viet Nam in 2013 on chronic hepatitis B infection. Vaccine, 34(6), 869-873. doi:10.1016/j.vaccine.2015.05.067.

Wiesen, E., Diorditsa, S., & Li, X. (2016). Progress towards hepatitis B prevention through vaccination in the Western Pacific, 1990-2014. Vaccine, 34(25), 2855-2862.

Haemophilus influenzae type b (Hib), rotavirus and pneumococcal disease

Bourgeois, A. L., Wierzba, T. F., & Walker, R. I. (2016). Status of vaccine research and development for enterotoxigenic Escherichia coli. Vaccine, 34(26), 2880-2886. doi:10.1016/j.vaccine.2016.02.076.

Clark, A., Jauregui, B., Griffiths, U., Janusz, C. B., Bolanos-Sierra, B., Hajjeh, R., Sanderson, C. (2013). TRIVAC decision-support model for evaluating the cost-effectiveness of Haemophilus influenzae type b, pneumococcal and rotavirus vaccination. Vaccine, 31 Suppl 3, C19-29. doi:10.1016/j.vaccine.2013.05.045.

Jit, M., Huyen, D. T. T., Friberg, I., Van Minh, H., Kiet, P. H. T., Walker, N., & Fox, K. (2015). Thirty years of vaccination in Vietnam: Impact and cost-effectiveness of the national Expanded Programme on Immunization. Vaccine, 33, A233-A239.

Walker, N., Tam, Y., & Friberg, I. K. (2013). Overview of the Lives Saved Tool (LiST). BMC Public Health, 13 Suppl 3, S1. doi:10.1186/1471-2458-13-S3-S1.

Human papillomavirus (HPV)

Goldie, S. J., O’Shea, M., Campos, N. G., Diaz, M., Sweet, S., & Kim, S. Y. (2008). Health and economic outcomes of HPV 16,18 vaccination in 72 GAVI-eligible countries. Vaccine, 26(32), 4080-4093.

Jit, M., Brisson, M., Portnoy, A., & Hutubessy, R. (2014). Cost-effectiveness of female human papillomavirus vaccination in 179 countries: a PRIME modelling study. Lancet Global Health, 2(7), E406-E414.

Kim, J. J., Sharma, M., O’Shea, M., Sweet, S., Diaz, M., Sancho-Garnier, H., & Seoud, M. (2013). Model-Based Impact and Cost-Effectiveness of Cervical Cancer Prevention in the Extended Middle East and North Africa (EMENA). Vaccine, 31, G65-G77.

Kim, S. Y., Sweet, S., Chang, J., & Goldie, S. J. (2011). Comparative evaluation of the potential impact of rotavirus versus HPV vaccination in GAVI-eligible countries: a preliminary analysis focused on the relative disease burden. BMC Infect Dis, 11, 174. doi:10.1186/1471-2334-11-174.

Japanese encephalitis

Quan TM, Thao TTN, Duy NM, Nhat TM, Clapham H. (2020). Estimates of the global burden of Japanese encephalitis and the impact of vaccination from 2000-2015. Elife. 2020;9:e51027. doi:10.7554/eLife.51027..


Chen, S., Fricks, J., & Ferrari, M. J. (2012). Tracking measles infection through non-linear state space models. Journal of the Royal Statistical Society Series C-Applied Statistics, 61, 117-134.

Simons, E., Ferrari, M., Fricks, J., Wannemuehler, K., Anand, A., Burton, A., & Strebel, P. (2012). Assessment of the 2010 global measles mortality reduction goal: results from a model of surveillance data. Lancet, 379(9832), 2173-2178. doi:10.1016/S0140-6736(12)60522-4.

Verguet, S., Johri, M., Morris, S. K., Gauvreau, C. L., Jha, P., & Jit, M. (2015). Controlling measles using supplemental immunization activities: A mathematical model to inform optimal policy. Vaccine, 33(10), 1291-1296.

Meningitis A

Oumar, A. D., Isaie, M., Wilfried, B. B., Yameogo, I., Koussoube, D., Ouedraogo, R., Sangare, L., & Mbaeyi, S. A. (2018). Initial validation of a simulation model for estimating the impact of serogroup A Neisseria meningitidis vaccination in the African meningitis belt. PLoS One, 13(10), e0206117. doi:10.1371/journal.pone.0206117.

Colombini, A., Trotter, C., Madrid, Y., Karachaliou, A., & Preziosi, M. P. (2015). Costs of Neisseria meningitidis Group A Disease and Economic Impact of Vaccination in Burkina Faso. Clin Infect Dis, 61 Suppl 5, S473-482. doi:10.1093/cid/civ600.

Karachaliou, A., Conlan, A. J., Preziosi, M. P., & Trotter, C. L. (2015). Modeling Long-term Vaccination Strategies With MenAfriVac in the African Meningitis Belt. Clin Infect Dis, 61 Suppl 5, S594-600. doi:10.1093/cid/civ508.

Tartof, S., Cohn, A., Tarbangdo, F., Djingarey, M. H., Messonnier, N., Clark, T. A., Jackson, M. L. (2013). Identifying optimal vaccination strategies for serogroup A Neisseria meningitidis conjugate vaccine in the African meningitis belt. PLoS One, 8(5), e63605. doi:10.1371/journal.pone.0063605.


Vynnycky, E., Adams, E. J., Cutts, F. T., Reef, S. E., Navar, A. M., Simons, E., Dabbagh, A. J. (2016). Using Seroprevalence and Immunisation Coverage Data to Estimate the Global Burden of Congenital Rubella Syndrome, 1996-2010: A Systematic Review.. PLoS One, 11(3).

Vynnycky, E., Yoshida, L. M., Huyen, D. T. T., Trung, N. D., Toda, K., Cuong, N. V., Hien, N. T. (2016). Modeling the impact of rubella vaccination in Vietnam. Human Vaccines & Immunotherapeutics, 12(1), 150-158.

Yellow Fever

Perkins, A., Huber, J. H., Tran, Q. M., Oidtman, R. J., Walters, M. K., Siraj, A. S., Moore, S. M. (2021). Burden is in the eye of the beholder: Sensitivity of yellow fever disease burden estimates to modeling assumptions. medRxiv.

Garske, T., Van Kerkhove, M. D., Yactayo, S., Ronveaux, O., Lewis, R. F., Staples, J. E., Comm, Y. F. E. (2014). Yellow Fever in Africa: Estimating the Burden of Disease and Impact of Mass Vaccination from Outbreak and Serological Data. PLoS Med, 11(5).

Jean, K., Donnelly, C. A., Ferguson, N. M., & Garske, T (2016). A Meta-Analysis of Serological Response Associated with Yellow Fever Vaccination. Am J Trop Med Hyg, 95(6), 1435-1439. doi:10.4269/ajtmh.16-0401.