C

Cotten, M (2022). mlcotten13/Measles_primers. [Data Collection]. Github. https://github.com/mlcotten13/Measles_primers

F

Fu, H and Abbas, KM (2021). lshtm-vimc/dynamice. [Data Collection]. Github. https://github.com/lshtm-vimc/dynamice

I

Institute for Health Metrics and Evaluation (IHME) and London School of Hygiene and Tropical Medicine (2024). Measles Seroprevalence Systematic Review and Bias Assessment 1962-2019. [Data Collection]. Global Health Data Exchange (GHDx). https://ghdx.healthdata.org/record/ihme-data/measles-serosurvey-bias-systematic-review

M

MRC/UVRI & LSHTM Uganda Research Unit (2022). Measles virus genomes in Uganda. [Data Collection]. NIH National Library of Medicine. https://www.ncbi.nlm.nih.gov/bioproject/PRJNA843031

R

Robert, A, Funk, S and Kucharski, AJ (2020). o2geosocial. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4317439

S

Sbarra, AN (2023). Evaluating scope and bias of population-level measles serosurveys: a systematic review and bias assessment. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.8393567

Sbarra, AN, Mosser, JF, Jit, M, Ferrari, M, Ramshaw, RE, O'Connor, P, Krause, LK, Rogowski, EL and Portnoy, A (2022). Estimating national-level measles case–fatality ratios in low-income and middle-income countries: an updated systematic review and modelling study. [Data Collection]. Zenodo. https://zenodo.org/record/7633577