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pro vyhledávání: '"Pollington TM"'
Introduction The tau statistic is a recent second-order correlation function that can assess the magnitude and range of global spatiotemporal clustering from epidemiological data containing geolocations of individual cases and, usually, disease onset
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1032::a703db8fedcab8915e026a989dc74230
http://hdl.handle.net/10044/1/80347
http://hdl.handle.net/10044/1/80347
Autor:
Kumar V; Rajendra Memorial Research Institute of Medical Sciences (RMRIMS) (ICMR), Patna 800007, India., Siddiqui NA; Rajendra Memorial Research Institute of Medical Sciences (RMRIMS) (ICMR), Patna 800007, India., Pollington TM; MathSys - Mathematics for Real-World Systems Centre for Doctoral Training, University of Warwick, Coventry CV4 7AL, UK; Big Data Institute (BDI), University of Oxford, Oxford OX3 7LF, UK; Centre for Tropical Medicine and Global Health, University of Oxford, Oxford OX3 7LG, UK; Mahidol-Oxford Tropical Medicine Research Unit (MORU), Mahidol University, Bangkok 10400, Thailand., Mandal R; Rajendra Memorial Research Institute of Medical Sciences (RMRIMS) (ICMR), Patna 800007, India., Das S; All India Institute of Medical Sciences (AIIMS), Patna 801507, India., Kesari S; Rajendra Memorial Research Institute of Medical Sciences (RMRIMS) (ICMR), Patna 800007, India., Das VR; Rajendra Memorial Research Institute of Medical Sciences (RMRIMS) (ICMR), Patna 800007, India., Pandey K; Rajendra Memorial Research Institute of Medical Sciences (RMRIMS) (ICMR), Patna 800007, India., Hollingsworth TD; Big Data Institute (BDI), University of Oxford, Oxford OX3 7LF, UK., Chapman LAC; Centre for Mathematical Modelling of Infectious Diseases (CMMID), London School of Hygiene & Tropical Medicine (LSHTM), London WC1H 9SH, UK., Das P; Rajendra Memorial Research Institute of Medical Sciences (RMRIMS) (ICMR), Patna 800007, India; National Institute of Cholera and Enteric Diseases (NICED) (ICMR), Kolkata 700010, India. Electronic address: drpradeep.das@gmail.com.
Publikováno v:
Epidemics [Epidemics] 2022 Jun; Vol. 39, pp. 100562. Date of Electronic Publication: 2022 Apr 21.
Autor:
Clark J; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Old Road Campus, Headington, Oxford, OX3 7LF, UK.; Institute of Biodiversity, Animal Health & Comparative Medicine, College of Medical, Veterinary & Life Sciences, University of Glasgow, Glasgow, G12 8QQ, UK., Stolk WA; Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, 3000 CA, The Netherlands., Basáñez MG; London Centre for Neglected Tropical Disease Research, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK.; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK., Coffeng LE; Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, 3000 CA, The Netherlands., Cucunubá ZM; London Centre for Neglected Tropical Disease Research, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK.; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK., Dixon MA; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK.; Schistosomiasis Control Initiative Foundation, London, SE11 5DP, UK., Dyson L; Mathematics Institute, University of Warwick, Coventry, CV4 7AL, UK.; School of Life Sciences, University of Warwick, Coventry, CV4 7AL, UK., Hampson K; Institute of Biodiversity, Animal Health & Comparative Medicine, College of Medical, Veterinary & Life Sciences, University of Glasgow, Glasgow, G12 8QQ, UK., Marks M; Department of Clinical Research, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK.; Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK., Medley GF; Centre for Mathematical Modelling of Infectious Disease, London School of Hygiene & Tropical Medicine, 15-17 Tavistock Place, London, WC1H 9SH, UK., Pollington TM; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Old Road Campus, Headington, Oxford, OX3 7LF, UK.; Mathematics Institute, University of Warwick, Coventry, CV4 7AL, UK., Prada JM; School of Veterinary Medicine, Faculty of Health and Medical Sciences, University of Surrey, Guildford, GU2 7AL, UK., Rock KS; Mathematics Institute, University of Warwick, Coventry, CV4 7AL, UK., Salje H; Department of Genetics, University of Cambridge, Cambridge, CB2 3EH, UK., Toor J; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK., Hollingsworth TD; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Old Road Campus, Headington, Oxford, OX3 7LF, UK.
Publikováno v:
Gates open research [Gates Open Res] 2022 Feb 02; Vol. 5, pp. 112. Date of Electronic Publication: 2022 Feb 02 (Print Publication: 2021).
Autor:
Davis EL; Big Data Institute, University of Oxford, Oxford, UK. emma.davis@bdi.ox.ac.uk., Lucas TCD; Big Data Institute, University of Oxford, Oxford, UK., Borlase A; Big Data Institute, University of Oxford, Oxford, UK., Pollington TM; Big Data Institute, University of Oxford, Oxford, UK.; MathSys CDT, University of Warwick, Coventry, UK., Abbott S; Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK., Ayabina D; Big Data Institute, University of Oxford, Oxford, UK., Crellen T; Big Data Institute, University of Oxford, Oxford, UK., Hellewell J; Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK., Pi L; Big Data Institute, University of Oxford, Oxford, UK., Medley GF; Centre for Mathematical Modelling of Infectious Disease & Department of Global Health and Development, London School of Hygiene and Tropical Medicine, London, UK., Hollingsworth TD; Big Data Institute, University of Oxford, Oxford, UK., Klepac P; Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.; Department for Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UK.
Publikováno v:
Nature communications [Nat Commun] 2021 Sep 13; Vol. 12 (1), pp. 5412. Date of Electronic Publication: 2021 Sep 13.
Autor:
Clark J; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Old Road Campus, Headington, Oxford, OX3 7LF, UK.; Institute of Biodiversity, Animal Health & Comparative Medicine, College of Medical, Veterinary & Life Sciences, University of Glasgow, Glasgow, G12 8QQ, UK., Stolk WA; Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, 3000 CA, The Netherlands., Basáñez MG; London Centre for Neglected Tropical Disease Research, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK.; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK., Coffeng LE; Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, 3000 CA, The Netherlands., Cucunubá ZM; London Centre for Neglected Tropical Disease Research, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK.; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK., Dixon MA; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK.; Schistosomiasis Control Initiative Foundation, London, SE11 5DP, UK., Dyson L; Mathematics Institute, University of Warwick, Coventry, CV4 7AL, UK.; School of Life Sciences, University of Warwick, Coventry, CV4 7AL, UK., Hampson K; Institute of Biodiversity, Animal Health & Comparative Medicine, College of Medical, Veterinary & Life Sciences, University of Glasgow, Glasgow, G12 8QQ, UK., Marks M; Department of Clinical Research, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK.; Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK., Medley GF; Centre for Mathematical Modelling of Infectious Disease, London School of Hygiene & Tropical Medicine, 15-17 Tavistock Place, London, WC1H 9SH, UK., Pollington TM; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Old Road Campus, Headington, Oxford, OX3 7LF, UK.; Mathematics Institute, University of Warwick, Coventry, CV4 7AL, UK., Prada JM; School of Veterinary Medicine, Faculty of Health and Medical Sciences, University of Surrey, Guildford, GU2 7AL, UK., Rock KS; Mathematics Institute, University of Warwick, Coventry, CV4 7AL, UK., Salje H; Department of Genetics, University of Cambridge, Cambridge, CB2 3EH, UK., Toor J; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK., Hollingsworth TD; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Old Road Campus, Headington, Oxford, OX3 7LF, UK.
Publikováno v:
Gates open research [Gates Open Res] 2021 Jul 27; Vol. 5, pp. 112. Date of Electronic Publication: 2021 Jul 27 (Print Publication: 2021).
Autor:
Crellen T; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, UK., Pi L; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, UK., Davis EL; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, UK., Pollington TM; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, UK.; MathSys CDT, University of Warwick, Coventry CV4 7AL, UK., Lucas TCD; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, UK., Ayabina D; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, UK., Borlase A; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, UK., Toor J; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, UK., Prem K; London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK., Medley GF; London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK., Klepac P; London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK., Déirdre Hollingsworth T; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, UK.
Publikováno v:
Philosophical transactions of the Royal Society of London. Series B, Biological sciences [Philos Trans R Soc Lond B Biol Sci] 2021 Jul 19; Vol. 376 (1829), pp. 20200274. Date of Electronic Publication: 2021 May 31.
Autor:
Pollington TM; MathSys CDT, University of Warwick, UK.; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, UK., Tildesley MJ; Zeeman Institute (SBIDER), School of Life Sciences, and Mathematics Institute, University of Warwick, UK., Hollingsworth TD; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, UK., Chapman LAC; London School of Hygiene & Tropical Medicine, UK.
Publikováno v:
Spatial statistics [Spat Stat] 2021 Apr; Vol. 42, pp. 100438.
Autor:
Lucas TCD; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, UK. Centre for Environment and Health, School of Public Health, Imperial College, UK. Electronic address: timcdlucas@gmail.com., Pollington TM; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, UK. MathSys CDT, University of Warwick, UK., Davis EL; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, UK., Hollingsworth TD; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, UK.
Publikováno v:
Epidemics [Epidemics] 2020 Dec; Vol. 33, pp. 100425. Date of Electronic Publication: 2020 Nov 26.
Autor:
Chapman LAC; Department of Global Health and Development, London School of Hygiene and Tropical Medicine, London WC1H 9SH, United Kingdom; lloyd.chapman@ucsf.edu.; Centre for Mathematical Modelling of Infectious Disease, London School of Hygiene and Tropical Medicine, London WC1E 7HT, United Kingdom.; Zeeman Institute, University of Warwick, Coventry CV4 7AL, United Kingdom., Spencer SEF; Zeeman Institute, University of Warwick, Coventry CV4 7AL, United Kingdom., Pollington TM; Zeeman Institute, University of Warwick, Coventry CV4 7AL, United Kingdom.; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, United Kingdom., Jewell CP; Centre for Health Informatics, Computing and Statistics, Lancaster University, Lancaster LA1 4YW, United Kingdom., Mondal D; Nutrition and Clinical Services Division, International Centre for Diarrhoeal Disease Research Bangladesh, Dhaka 1212, Bangladesh., Alvar J; Research and Development, Drugs for Neglected Diseases Initiative, Geneva 1202, Switzerland., Hollingsworth TD; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, United Kingdom., Cameron MM; Department of Disease Control, London School of Hygiene and Tropical Medicine, London WC1E 7HT, United Kingdom., Bern C; Department of Epidemiology and Biostatistics, University of California, San Francisco, CA 94158-2549., Medley GF; Department of Global Health and Development, London School of Hygiene and Tropical Medicine, London WC1H 9SH, United Kingdom.; Centre for Mathematical Modelling of Infectious Disease, London School of Hygiene and Tropical Medicine, London WC1E 7HT, United Kingdom.
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2020 Oct 13; Vol. 117 (41), pp. 25742-25750. Date of Electronic Publication: 2020 Sep 24.