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Tracking progress towards malaria elimination in China: Individual-level estimates of transmission and its spatiotemporal variation using a diffusion network approach.

, , , , , , , , , , , и . PLoS Comput. Biol., (2020)

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Azra Martin

Monir Azraoui

Birgül Azrak

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Fatemeh Ghani

 

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Determination of the Processes Driving the Acquisition of Immunity to Malaria Using a Mathematical Transmission Model., , , , и . PLoS Comput. Biol., (2007)Tracking progress towards malaria elimination in China: Individual-level estimates of transmission and its spatiotemporal variation using a diffusion network approach., , , , , , , , , и 2 other автор(ы). PLoS Comput. Biol., (2020)Optimizing social and economic activity while containing SARS-CoV-2 transmission using DAEDALUS., , , , , , , , , и 5 other автор(ы). Nat. Comput. Sci., 2 (4): 223-233 (2022)Identification of individuals with gonorrhoea within sexual networks: a population-based study, , , , , , , и . Lancet, 368 (9530): 139--146 (июля 2006)PMID: 16829298.Seq2Seq Surrogates of Epidemic Models to Facilitate Bayesian Inference., , , , , и . AAAI, стр. 14170-14177. AAAI Press, (2023)A Bayesian Approach to Quantifying the Effects of Mass Poultry Vaccination upon the Spatial and Temporal Dynamics of H5N1 in Northern Vietnam., , , , , и . PLoS Comput. Biol., (2010)The impact of COVID-19 and strategies for mitigation and suppression in low- and middle-income countries, , , , , , , , , и 39 other автор(ы). Science, 369 (6502): 413--422 (2020)Seq2Seq Surrogates of Epidemic Models to Facilitate Bayesian Inference., , , , , и . CoRR, (2022)