A mathematical, classical stratification modeling approach to disentangling the impact of weather on infectious diseases: A case study using spatio-temporally disaggregated Campylobacter surveillance data for England and Wales.
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| Title: | A mathematical, classical stratification modeling approach to disentangling the impact of weather on infectious diseases: A case study using spatio-temporally disaggregated Campylobacter surveillance data for England and Wales. |
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| Authors: | Lo Iacono G; Department of Comparative Biomedical Sciences, School of Veterinary Medicine, University of Surrey, Guildford, United Kingdom.; Institute for Sustainability, University of Surrey, Guildford, United Kingdom.; People-Centred Artificial Intelligence Institute, University of Surrey, Guilford, United Kingdom.; Centre for Mathematical and Computational Biology, University of Surrey, Guilford, United Kingdom., Cook AJC; Department of Comparative Biomedical Sciences, School of Veterinary Medicine, University of Surrey, Guildford, United Kingdom., Derks G; Centre for Mathematical and Computational Biology, University of Surrey, Guilford, United Kingdom.; Mathematical Institute, Leiden University, Leiden, the Netherlands., Fleming LE; European Centre for Environment and Human Health, University of Exeter Medical School, Truro, Cornwall, United Kingdom., French N; New Zealand Food Safety Science & Research Centre, Massey University, Palmerston North, New Zealand., Gillingham EL; UK Health Security Agency, Chilton, United Kingdom., Gonzalez Villeta LC; Department of Comparative Biomedical Sciences, School of Veterinary Medicine, University of Surrey, Guildford, United Kingdom., Heaviside C; Institute for Environmental Design and Engineering, University College London, London, United Kingdom., La Ragione RM; Department of Comparative Biomedical Sciences, School of Veterinary Medicine, University of Surrey, Guildford, United Kingdom.; School of Biosciences, University of Surrey, Guilford, United Kingdom., Leonardi G; UK Health Security Agency, Chilton, United Kingdom.; London School of Hygiene and Tropical Medicine, London, United Kingdom., Sarran CE; Met Office, Exeter, United Kingdom., Vardoulakis S; Healthy Environments And Lives (HEAL) National Research Network, Australian National University, Canberra, ACT, Australia., Senyah F; UK Health Security Agency, Porton Down, United Kingdom.; Médicines Sans Frontièrs, London, United Kingdom., van Vliet AHM; Department of Comparative Biomedical Sciences, School of Veterinary Medicine, University of Surrey, Guildford, United Kingdom., Nichols G; Department of Comparative Biomedical Sciences, School of Veterinary Medicine, University of Surrey, Guildford, United Kingdom.; European Centre for Environment and Human Health, University of Exeter Medical School, Truro, Cornwall, United Kingdom.; UK Health Security Agency, Chilton, United Kingdom.; University of East Anglia, Norwich, United Kingdom. |
| Source: | PLoS computational biology [PLoS Comput Biol] 2024 Jan 18; Vol. 20 (1), pp. e1011714. Date of Electronic Publication: 2024 Jan 18 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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