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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.
Autor:
van Zandvoort, Kevin, Hassan, Abdirahman Ibrahim, Bobe, Mohamed Omer, Pell, Casey L., Ahmed, Mohamed Saed, Ortika, Belinda D., Ibrahim, Saed, Abdi, Mohamed Ismail, Karim, Mustapha A., Eggo, Rosalind M., Ali, Saleban Yousuf, Hinds, Jason, Soleman, Saeed Mohamood, Cummings, Rachael, McGowan, Catherine R., Mulholland, E. Kim, Hergeye, Mohamed Abdi, Satzke, Catherine, Checchi, Francesco, Flasche, Stefan
Publikováno v:
Pneumonia (2200-6133); 12/5/2024, Vol. 16 Issue 1, p1-12, 12p