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Epidemics|November 6, 2025
A deep learning approach for enhancing pandemic prediction: A retrospective evaluation of transformer neural networks and multi-source data fusion for infectious disease forecastingJiande Wu, Shakhawat Tanim, MinJae Woo, et al.Epidemics|November 18, 2025
A pilot study to correlate wastewater and clinical surveillance for hepatitis A in New York stateMaxwell D Weidmann, Patrick W Bryant, Lynsey Schoultz, et al.Epidemics|December 20, 2020
Network structure and rapid HIV transmission among people who inject drugs: A simulation-based analysisAlyson L Singleton, Brandon D L Marshall, S Bessey, et al.Epidemics|December 28, 2020
Optimised prophylactic vaccination in metapopulationsMingmei Teo, Nigel Bean, Joshua V RossEpidemics|December 28, 2020
Accounting for cross-immunity can improve forecast accuracy during influenza epidemicsRahil Sachak-Patwa, Helen M Byrne, Robin N ThompsonEpidemics|December 28, 2020
Chopping the tail: How preventing superspreading can help to maintain COVID-19 controlMorgan P Kain, Marissa L Childs, Alexander D Becker, et al.Epidemics|December 19, 2020
Forecasting the probability of local dengue outbreaks in Queensland, AustraliaJessica Liebig, Frank de Hoog, Dean Paini, et al.Epidemics|November 1, 2019
Desirable BUGS in models of infectious diseasesMegan Auzenbergs, Carla Correia-Gomes, Theo Economou, et al.Epidemics|November 22, 2022
Correlation between times to SARS-CoV-2 symptom onset and secondary transmission undermines epidemic control effortsNatalie M Linton, Andrei R Akhmetzhanov, Hiroshi NishiuraEpidemics|October 1, 2020
Elucidating user behaviours in a digital health surveillance system to correct prevalence estimatesDennis Liu, Lewis Mitchell, Robert C Cope, et al.Pageof 84