Data and code from: Impact of dosing schedules on performance of rotavirus vaccines in Ghana

There is currently limited evidence regarding how the rotavirus vaccine dosing schedule might be adjusted to improve vaccine performance. We quantified and compared the impact of the previously implemented 6/10-week monovalent Rotarix vaccine in Ghana to the model-predicted impact for other vaccine dosing schedules across three hospitals and the entire country. Compared to no vaccination, the model-estimated median percentage reductions in rotavirus ranged from 28-85% and 12-71% among children <1 year and <5 years of age, respectively. The median predicted reductions in rotavirus for the whole country ranged from 57-66% among infants <1 year and 35-45% among children <5 years of age. The 1/6/10- and 6/10/14-week schedules provided the best and comparable reductions in rotavirus compared to the original 6/10-week schedule, whereas there was no improvement in impact for the 10/14-week schedule. A third dose could prevent an additional 9-14% of deaths. We found that administering an additional dose of RV1 might be an effective strategy to improve rotavirus vaccine impact, particularly in settings with low vaccine effectiveness. Data on the crude birth rate, crude death rate, and total population are sourced from the Ghana Statistical Service.  Data on coverage for the Rotavirus vaccine was obtained from the Ghana Health Service. These datasets are stored as Mat files. # Rotavirus Matlab code for Ghana [doi.org](doi.org) ## Description of the data and file structure Data on the crude birth rate, crude death rate, and total population are sourced from the Ghana Statistical Service.  Data on coverage for the Rotavirus vaccine was obtained from the Ghana Health Service. We have included the model estimated parameters obtained when the model was previously fitted separately to rotavirus surveillance and case-control studies from three different hospitals across Ghana (Accra, Kumasi, and Navrongo). These datasets are stored as Mat files. ### Files and variables #### ghana\_demographic\_parameters.mat The demographic and rotavirus vaccination coverage data. These are annual data from 1960 to 2031. * ghana_age_dist = Ghana age distribution * ghana_birth_rate = Ghana crude birth rate * ghana_cdr = Ghana crude death rate * ghana_imr = Ghana crude immigration * vcov = rotavirus vaccine coverage #### rasisV1w\.m  This file contains the differential equations of the rotavirus transmission model. #### navrongo\_model\_parameters.mat The previously estimated parameters for Navrongo These data were generated by sampling within the 95% confidence intervals of previously estimated model parameters, assuming a beta distribution. * R0_par = R0 parameter   * wm_par = Average duration of maternal immunity (months)   * Sc1_par= Proportion who responded to the first dose * Sc2_par = Proportion who responded to the second dose * Sc2n_par = The proportion of infants who responded to the second dose among those who failed to respond to the first * wv_par = Duration of vaccine-induced immunity (months) #### navrongo\_code.m This file contains the primary model for simulations and stores the resulting output for Navrongo #### kumasi\_model\_parameters.mat The previously estimated parameters for Kumasi These data were generated by sampling within the 95% confidence intervals of previously estimated model parameters, assuming a beta distribution. * R0_par = R0 parameter   * wm_par = Average duration of maternal immunity (months)   * Sc1_par= Proportion who responded to the first dose * Sc2_par = Proportion who responded to the second dose * Sc2n_par = The proportion of infants who responded to the second dose among those who failed to respond to the first * wv_par = Duration of vaccine-induced immunity (months) #### kumasi\_code.m This file contains the primary model for simulations and stores the resulting output for Kumasi #### accra\_model\_parameters.mat The previously estimated parameters for Accra These data were generated by sampling within the 95% confidence intervals of previously estimated model parameters, assuming a beta distribution. * R0_par = R0 parameter   * wm_par = Average duration of maternal immunity (months)   * Sc1_par= Proportion who responded to the first dose * Sc2_par = Proportion who responded to the second dose * Sc2n_par = The proportion of infants who responded to the second dose among those who failed to respond to the first * wv_par = Duration of vaccine-induced immunity (months) #### accra\_code.m This file contains the primary model for simulations and stores the resulting output for Accra ## Code/software MATLAB R2020b software Octave (free alternative)