Study Type: simulation/modelling
Author Organization: Max Planck Institute for Infection Biology
Subject: Mathematics
1 to 6 of 6 Results
Jul 16, 2024
Kramer, Sarah C, 2022, "Code for "Characterizing the interactions between influenza and respiratory syncytial viruses and their implications for disease control"", https://doi.org/10.17617/3.TBOPCK, Edmond, V3
Code to infer the strength and duration of interactions between flu and RSV |
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" |
Apr 25, 2022
Domenech de Cellès, Matthieu; Wong, Anabelle; Barrero Guevara, Laura Andrea; Rohani, Pejman, 2022, "Data and R codes from "Immunological heterogeneity informs estimation of the durability of vaccine protection"", https://doi.org/10.17617/3.AWRHE8, Edmond, V1
Data and R codes from the research article "Immunological heterogeneity informs estimation of the durability of vaccine protection", published in the Journal of the Royal Society Interface. |
Dec 6, 2021
Domenech de Cellès, Matthieu; Goult, Elizabeth; Casalegno, Jean-Sébastien; Kramer, Sarah C., 2021, "Codes from: "The pitfalls of inferring virus-virus interactions from co-detection prevalence data: Application to influenza and SARS-CoV-2"", https://doi.org/10.17617/3.8k, Edmond, V1
R codes to reproduce the results presented in the paper "The pitfalls of inferring virus-virus interactions from co-detection prevalence data: Application to influenza and SARS-CoV-2" |
Nov 11, 2021
Domenech de Cellès, Matthieu; Casalegno, Jean-Sébastien; Lina, Bruno; Opatowski, Lulla, 2021, "Data and codes for "Estimating the impact of influenza on the epidemiological dynamics of SARS-CoV-2"", https://doi.org/10.17617/3.7r, Edmond, V1
Data and R codes associated with the manuscript "Estimating the impact of influenza on the epidemiological dynamics of SARS-CoV-2" (https://peerj.com/articles/12566/). |