Welfare of badgers (Meles meles) subjected to culling: patterns of trap-related injury

Autor: R Woodroffe, FJ Bourne, DR Cox, CA Donnelly, G Gettinby, JP McInerney, WI Morrison

Publikováno v: Animal Welfare. 14:11-17

For over 25 years, European badgers (Meles meles) have been subject to culling in Britain in attempts to limit the spread of tuberculosis (TB) to cattle. As part of a far-reaching evaluation of the effectiveness and acceptability of badger culling as

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d257d11b16cc478fb6fccbfce83be840
https://doi.org/10.1017/s0962728600028876

Climate-based modelling and forecasting of dengue in three endemic departments of Peru.

Autor: Mills C; Department of Statistics, University of Oxford, Oxford, United Kingdom.; Pandemic Sciences Institute, University of Oxford, Oxford, United Kingdom., Donnelly CA; Department of Statistics, University of Oxford, Oxford, United Kingdom.; Pandemic Sciences Institute, University of Oxford, Oxford, United Kingdom.

Publikováno v: PLoS neglected tropical diseases [PLoS Negl Trop Dis] 2024 Dec 04; Vol. 18 (12), pp. e0012596. Date of Electronic Publication: 2024 Dec 04 (Print Publication: 2024).

COVID-19 testing and reporting behaviours in England across different sociodemographic groups: a population-based study using testing data and data from community prevalence surveillance surveys.

Autor: Bajaj S; Department of Biology, University of Oxford, Oxford, UK. Electronic address: sumali.bajaj@biology.ox.ac.uk., Chen S; High Meadows Environmental Institute, Princeton University, Princeton, NJ, USA., Creswell R; Department of Computer Science, University of Oxford, Oxford, UK., Naidoo R; EY Health Sciences and Wellness, London, UK; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK., Tsui JL; Department of Biology, University of Oxford, Oxford, UK., Kolade O; UK Health Security Agency, London, UK., Nicholson G; Department of Statistics, University of Oxford, Oxford, UK; The Alan Turing Institute and Royal Statistical Society Health Data Lab, London, UK., Lehmann B; The Alan Turing Institute and Royal Statistical Society Health Data Lab, London, UK; Department of Statistical Science, University College London, London, UK., Hay JA; Pandemic Sciences Institute, University of Oxford, Oxford, UK; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK., Kraemer MUG; Department of Biology, University of Oxford, Oxford, UK; Pandemic Sciences Institute, University of Oxford, Oxford, UK., Aguas R; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK., Donnelly CA; Department of Statistics, University of Oxford, Oxford, UK; Pandemic Sciences Institute, University of Oxford, Oxford, UK; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK., Fowler T; UK Health Security Agency, London, UK; William Harvey Research Institute, Queen Mary University of London, London, UK., Hopkins S; UK Health Security Agency, London, UK., Cantrell L; Oxford Vaccine Group, Department of Paediatrics, University of Oxford, Oxford, UK., Dahal P; Infectious Diseases Data Observatory, Nuffield Department of Medicine, University of Oxford, Oxford, UK., White LJ; Department of Biology, University of Oxford, Oxford, UK., Stepniewska K; Infectious Diseases Data Observatory, Nuffield Department of Medicine, University of Oxford, Oxford, UK., Voysey M; Oxford Vaccine Group, Department of Paediatrics, University of Oxford, Oxford, UK., Lambert B; Department of Statistics, University of Oxford, Oxford, UK; College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, UK. Electronic address: ben.lambert@stats.ox.ac.uk.

Publikováno v: The Lancet. Digital health [Lancet Digit Health] 2024 Nov; Vol. 6 (11), pp. e778-e790.

Modeling the relative influence of socio-demographic variables on post-acute COVID-19 quality of life.

Autor: Menkir TF; Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard TH Chan School of Public Health, Harvard University, USA.; ISARIC, Pandemic Sciences Institute, University of Oxford, UK., Citarella BW; ISARIC, Pandemic Sciences Institute, University of Oxford, UK., Sigfrid L; ISARIC, Pandemic Sciences Institute, University of Oxford, UK.; Policy and Practice Research Group, Pandemic Sciences Institute, University of Oxford, Oxford UK., Doshi Y; Terna Speciality Hospital & Research Centre, Mumbai, India., Reyes LF; ISARIC, Pandemic Sciences Institute, University of Oxford, UK.; Universidad de La Sabana, Chia, Colombia.; Clinica Universidad de La Sabana, Chia, Colombia., Calvache JA; Departamento de Anestesiología, Universidad del Cauca, Colombia.; Department of Anesthesiology, Erasmus University Medical Center, Netherlands., Kildal AB; Department of Anesthesiology and Intensive Care, University Hospital of North Norway, Tromsø, Norway.; Department of Clinical Medicine, Faculty of Health Sciences, UIT The Arctic University of Norway, Tromsø, Norway., Nygaard AB; Department of Microbiology, Oslo University Hospital, Oslo, Norway., Holter JC; Department of Microbiology, Oslo University Hospital, Oslo, Norway.; Institute of Clinical Medicine, University of Oslo, Oslo, Norway., Panda PK; All India Institute of Medical Sciences (AIIMS), Rishikesh, India., Jassat W; National Institute for Communicable Diseases, South Africa.; Right to Care, South Africa., Merson L; ISARIC, Pandemic Sciences Institute, University of Oxford, UK., Donnelly CA; Department of Statistics, University of Oxford, Oxford, UK.; MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics and Department of Infectious Disease Epidemiology, Imperial College London, London, UK., Santillana M; Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard TH Chan School of Public Health, Harvard University, USA.; Machine Intelligence Group for the Betterment of Health and the Environment, Network Science Institute, Northeastern University, Boston, MA, USA., Buckee C; Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard TH Chan School of Public Health, Harvard University, USA., Verguet S; Department of Global Health and Population, Harvard TH Chan School of Public Health, Harvard University, USA., Hejazi NS; Department of Biostatistics, Harvard TH Chan School of Public Health, Harvard University, USA.

Publikováno v: MedRxiv : the preprint server for health sciences [medRxiv] 2024 Sep 09. Date of Electronic Publication: 2024 Sep 09.

An extensive re-evaluation of evidence and analyses of the Randomised Badger Culling Trial (RBCT) I: Within proactive culling areas.

Autor: Mills CL; Department of Statistics, University of Oxford, Oxford, UK.; Pandemic Sciences Institute, University of Oxford, Oxford, UK., Woodroffe R; Institute of Zoology, Zoological Society of London, London, UK., Donnelly CA; Department of Statistics, University of Oxford, Oxford, UK.; Pandemic Sciences Institute, University of Oxford, Oxford, UK.

Publikováno v: Royal Society open science [R Soc Open Sci] 2024 Aug 21; Vol. 11 (8), pp. 240385. Date of Electronic Publication: 2024 Aug 21 (Print Publication: 2024).