Study Type: observational
Study Type: simulation/modelling
Author Organization: Max Planck Institute for Infection Biology
1 to 3 of 3 Results
May 15, 2024
Domenech de Celles, Matthieu; Rohani, Pejman, 2024, "Data and R codes from "Pertussis vaccines, epidemiology and evolution"", https://doi.org/10.17617/3.A1KMUB, Edmond, V1
Data and R codes from the review article, "Pertussis vaccines, epidemiology and evolution", published in Nature Reviews Microbiology. |
Aug 28, 2023
Barrero Guevara, Laura Andrea; Goult, Elizabeth; Dayanne Rodriguez; Luis Jorge Hernandez; Kaufer, Benedikt B.; Kurth, Tobias; Domenech de Cellès, Matthieu, 2023, "Data and codes from "Delineating the seasonality of varicella and its association with climate in the tropical country of Colombia"", https://doi.org/10.17617/3.ZCMEKJ, Edmond, V1
Data and R codes associated with the manuscript "Delineating the seasonality of varicella and its association with climate in the tropical country of Colombia" |
Oct 12, 2022
Wong, Anabelle, 2022, "Using LASSO regression to estimate the population-level impact of pneumococcal conjugate vaccines", https://doi.org/10.17617/3.XD9VIT, Edmond, V3
This project compares different methods' performance in estimating pneumococcal conjugate vaccines (PCVs)' impact on all-cause pneumonia hospitalization. Please see README.md for more details. |