| Le temps domestique et parental des hommes et des femmes: quels facteurs d’évolutions en 25 ans? C Champagne, A Pailhé, A Solaz Économie et statistique, 480, 2015 | 235* | 2015 |
| Accounting for non-stationarity in epidemiology by embedding time-varying parameters in stochastic models B Cazelles, C Champagne, J Dureau PLoS computational biology 14 (8), e1006211, 2018 | 52 | 2018 |
| Structure in the variability of the basic reproductive number (R0) for Zika epidemics in the Pacific islands C Champagne, DG Salthouse, R Paul, VM Cao-Lormeau, B Roche, ... Elife 5, e19874, 2016 | 40 | 2016 |
| Predicting the impact of outdoor vector control interventions on malaria transmission intensity from semi-field studies A Denz, MM Njoroge, MM Tambwe, C Champagne, F Okumu, ... Parasites & Vectors 14, 1-22, 2021 | 22 | 2021 |
| Dynamics of the COVID-19 epidemic in Ireland under mitigation B Cazelles, B Nguyen-Van-Yen, C Champagne, C Comiskey BMC Infectious Diseases 21 (1), 735, 2021 | 22 | 2021 |
| Comparison of stochastic and deterministic frameworks in dengue modelling C Champagne, B Cazelles Mathematical biosciences 310, 1-12, 2019 | 20 | 2019 |
| Dengue modeling in rural Cambodia: statistical performance versus epidemiological relevance C Champagne, R Paul, S Ly, V Duong, R Leang, B Cazelles Epidemics 26, 43-57, 2019 | 20 | 2019 |
| Parallel trends in the transmission of SARS-CoV-2 and retail/recreation and public transport mobility during non-lockdown periods B Cazelles, C Comiskey, B Nguyen-Van-Yen, C Champagne, B Roche International Journal of Infectious Diseases 104, 693-695, 2021 | 18* | 2021 |
| A mechanistic and data-driven reconstruction of the time-varying reproduction number: Application to the COVID-19 epidemic B Cazelles, C Champagne, B Nguyen-Van-Yen, C Comiskey, E Vergu, ... PLoS computational biology 17 (7), e1009211, 2021 | 16 | 2021 |
| Using observed incidence to calibrate the transmission level of a mathematical model for Plasmodium vivax dynamics including case management and importation C Champagne, M Gerhards, J Lana, B García Espinosa, C Bradley, ... Mathematical biosciences 343, 108750, 2022 | 4 | 2022 |
| Improving access to care and community health in Haiti with optimized community health worker placement C Champagne, AS Rajkumar, P Auxila, G Perrone, M Plötz, A Young, ... PLOS Global Public Health 2 (5), e0000167, 2022 | 3 | 2022 |
| AnophelesModel: An R package to interface mosquito bionomics, human exposure and intervention effects with models of malaria intervention impact M Golumbeanu, O Briët, C Champagne, J Lemant, M Winkel, B Zogo, ... bioRxiv, 2023.10. 17.562838, 2023 | 1 | 2023 |
| Mathematical modeling and statistical inference to better understand arbovirus dynamics C Champagne Université Paris-Saclay (ComUE), 2018 | 1 | 2018 |
| Quantifying the impact of interventions against Plasmodium vivax: A model for country-specific use C Champagne, M Gerhards, JT Lana, A Le Menach, E Pothin Epidemics 46, 100747, 2024 | | 2024 |
| Modelling to support decisions about the geographic and demographic extensions of seasonal malaria chemoprevention in Benin J Lemant, C Champagne, W Houndjo, J Aïssan, R Aïkpon, ... medRxiv, 2024.04. 25.24306333, 2024 | | 2024 |
| MODELING THE DIFFERENTIAL IMPACT OF IMPROVED EFFECTIVE COVERAGE FOR MALARIA CASE MANAGEMENT ACROSS TRANSMISSION SETTINGS L Skrip, C Champagne, A Le Menach, J Cohen, T Visser, E Pothin AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE 105 (5), 84-84, 2021 | | 2021 |
| ESTIMATING THE VARIABILITY OF ANOPHELES BIONOMICS AND ITS IMPACT ON TRANSMISSION WITH A HIERARCHICAL BAYESIAN MODEL J Lemant, B Zogo, TA Smith, C Champagne, M Golumbeanu, E Pothin AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE 105 (5), 84-84, 2021 | | 2021 |
| Amélioration de l'accès aux soins et expansion des soins communautaires en Haïti grâce à un positionnement optimisé des ASCP E Pothin, C Champagne | | 2020 |
| Modélisation des dynamiques épidémiques de la dengue au Cambodge C Champagne Revue d'Épidémiologie et de Santé Publique 64 (2), 131-132, 2016 | | 2016 |
