Literature DB >> 34245717

Transmission modelling of environmentally persistent zoonotic diseases: a systematic review.

Eleanor M Rees1, Amanda Minter2, W John Edmunds2, Colleen L Lau3, Adam J Kucharski2, Rachel Lowe4.   

Abstract

Transmission of many infectious diseases depends on interactions between humans, animals, and the environment. Incorporating these complex processes in transmission dynamic models can help inform policy and disease control interventions. We identified 20 diseases involving environmentally persistent pathogens (ie, pathogens that survive for more than 48 h in the environment and can cause subsequent human infections), of which indirect transmission can occur from animals to humans via the environment. Using a systematic approach, we critically appraised dynamic transmission models for environmentally persistent zoonotic diseases to quantify traits of models across diseases. 210 transmission modelling studies were identified and most studies considered diseases of domestic animals or high-income settings, or both. We found that less than half of studies validated their models to real-world data, and environmental data on pathogen persistence was rarely incorporated. Model structures varied, with few studies considering the animal-human-environment interface of transmission in the context of a One Health framework. This Review highlights the need for more data-driven modelling of these diseases and a holistic One Health approach to model these pathogens to inform disease prevention and control strategies.
Copyright © 2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Year:  2021        PMID: 34245717     DOI: 10.1016/S2542-5196(21)00137-6

Source DB:  PubMed          Journal:  Lancet Planet Health        ISSN: 2542-5196


  2 in total

1.  The spleen bacteriome of wild rodents and shrews from Marigat, Baringo County, Kenya.

Authors:  Rehema Liyai; Gathii Kimita; Clement Masakhwe; David Abuom; Beth Mutai; David Miruka Onyango; John Waitumbi
Journal:  PeerJ       Date:  2021-09-02       Impact factor: 2.984

2.  Evaluating efficacy of indoor non-pharmaceutical interventions against COVID-19 outbreaks with a coupled spatial-SIR agent-based simulation framework.

Authors:  Chathika Gunaratne; Rene Reyes; Erik Hemberg; Una-May O'Reilly
Journal:  Sci Rep       Date:  2022-04-13       Impact factor: 4.379

  2 in total

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