zmhesketh/2023_TBVaccine_Confidence
In this repository you will find two files: (1) Main analysis of 2023 VCP data: This includes analytical code to obtain individual confidence scores, for the 18 high TB burden countries in the dataset, for each of the three statements of interest (vaccines are important for everyone to have, vaccines are safe, vaccines are effective). It also includes the calculation of the overall combined confidence scored based on these individual scores. (2) Sex- and age-group-disaggregated analysis of 2023 VCP data: This includes the analytical code to obtain confidence scores by sex and age group for each of the 18 high TB burden countries in the dataset.
NB: Availability of dataset: The complete 2023 dataset analysed belongs to the Vaccine Confidence Project (headed by Dr. Heidi Larson, LSHTM) and can be requested either by completing the contact form on vaccineconfidence.org or via direct email to heidi.larson@lshtm.ac.uk
Keywords
Tuberculosis; Novel vaccines; Vaccine confidence| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Software R script |
| Capture method | Other |
| Date | 8 July 2025 |
| Language(s) of written materials | English |
| Creator(s) | Hesketh, Z |
| LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology & Dynamics (2023-) |
| Research Centre |
Centre for the Mathematical Modelling of Infectious Diseases TB Centre Vaccine Centre |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Date Deposited | 13 Nov 2025 14:12 |
| Last Modified | 13 Nov 2025 14:12 |
| Publisher | Github |