Structural identifiability of compartmental models for infectious disease transmission is influenced by data type. [PDF]
Epidemics, 2022 If model identifiability is not confirmed, inferences from infectious disease transmission models may not be reliable, so they might lead to misleading recommendations.
Dankwa EA, Brouwer AF, Donnelly CA.
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Infectious disease transmission from bioaerosols. [PDF]
J Expo Sci Environ Epidemiol, 2022 Erath BD, Ferro AR.
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Inference of Infectious Disease Transmission through a Relaxed Bottleneck Using Multiple Genomes Per Host. [PDF]
Mol Biol EvolCarson J +4 more
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A data-driven Markov process for infectious disease transmission. [PDF]
PLoS One, 2023 Wang C, Mustafa S.
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Social contact patterns relevant for infectious disease transmission in Cambodia. [PDF]
Sci Rep, 2023 Leung WTM +9 more
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An approximate diffusion process for environmental stochasticity in infectious disease transmission modelling. [PDF]
PLoS Comput Biol, 2023 Ghosh S, Birrell PJ, De Angelis D.
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Accounting for historical injustices in mathematical models of infectious disease transmission: An analytic overview. [PDF]
Epidemics, 2023 Abuelezam NN +3 more
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Dynamic model of respiratory infectious disease transmission in urban public transportation systems. [PDF]
Heliyon, 2023 Guo Z +7 more
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Incorporating human dynamic populations in models of infectious disease transmission: a systematic review. [PDF]
BMC Infect Dis, 2022 Møgelmose S, Neels K, Hens N.
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Machine learning and probabilistic approaches for forecasting infectious disease transmission and cases. [PDF]
Int J Infect DisHossain MS +6 more
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