Modelling to Quantify the Likelihood that Local Elimination of Transmission has Occurred Using Routine Gambiense Human African Trypanosomiasis Surveillance Data.

Autor: Davis CN; Mathematics Institute, University of Warwick, Coventry, United Kingdom.; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, United Kingdom., Castaño MS; Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland.; University of Basel, Basel, Switzerland., Aliee M; Mathematics Institute, University of Warwick, Coventry, United Kingdom.; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, United Kingdom., Patel S; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, United Kingdom.; Department of Statistics, University of Warwick, Coventry, United Kingdom., Miaka EM; Programme National de Lutte contre la Trypanosomiase Humaine Africaine, Kinshasa, the Democratic Republic of the Congo., Keeling MJ; Mathematics Institute, University of Warwick, Coventry, United Kingdom.; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, United Kingdom.; School of Life Science, University of Warwick, Coventry, United Kingdom., Spencer SEF; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, United Kingdom.; Department of Statistics, University of Warwick, Coventry, United Kingdom., Chitnis N; Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland.; University of Basel, Basel, Switzerland., Rock KS; Mathematics Institute, University of Warwick, Coventry, United Kingdom.; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, United Kingdom.

Publikováno v: Clinical infectious diseases : an official publication of the Infectious Diseases Society of America [Clin Infect Dis] 2021 Jun 14; Vol. 72 (Suppl 3), pp. S146-S151.

Predicted Impact of COVID-19 on Neglected Tropical Disease Programs and the Opportunity for Innovation.

Autor: Toor J; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Oxford, United Kingdom., Adams ER; Department of Tropical Disease Biology, Liverpool School of Tropical Medicine, Liverpool, United Kingdom., Aliee M; Mathematics Institute, University of Warwick, Coventry, United Kingdom.; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, University of Warwick, Coventry, United Kingdom., Amoah B; Centre for Health Informatics, Computing and Statistics, Lancaster University, Lancaster, United Kingdom., Anderson RM; London Centre for Neglected Tropical Disease Research, Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.; Medical Research Council Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom.; The DeWorm3 Project, Natural History Museum, London, United Kingdom., Ayabina D; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Oxford, United Kingdom., Bailey R; Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom., Basáñez MG; London Centre for Neglected Tropical Disease Research, Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.; Medical Research Council Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom., Blok DJ; Department of Public Health, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands., Blumberg S; Francis I Proctor Foundation, University of California, San Francisco, California, United States of America., Borlase A; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Oxford, United Kingdom., Rivera RC; Department of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, United States of America., Castaño MS; Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland.; University of Basel, Basel, Switzerland., Chitnis N; Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland.; University of Basel, Basel, Switzerland., Coffeng LE; Department of Public Health, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands., Crump RE; Mathematics Institute, University of Warwick, Coventry, United Kingdom.; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, University of Warwick, Coventry, United Kingdom.; The School of Life Sciences, University of Warwick, Coventry, United Kingdom., Das A; Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland.; University of Basel, Basel, Switzerland., Davis CN; Mathematics Institute, University of Warwick, Coventry, United Kingdom.; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, University of Warwick, Coventry, United Kingdom., Davis EL; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Oxford, United Kingdom., Deiner MS; Francis I Proctor Foundation, University of California, San Francisco, California, United States of America.; Department of Ophthalmology, University of California, San Francisco, California, United States of America., Diggle PJ; Centre for Health Informatics, Computing and Statistics, Lancaster University, Lancaster, United Kingdom., Fronterre C; Centre for Health Informatics, Computing and Statistics, Lancaster University, Lancaster, United Kingdom., Giardina F; Department of Public Health, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands., Giorgi E; Centre for Health Informatics, Computing and Statistics, Lancaster University, Lancaster, United Kingdom., Graham M; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Oxford, United Kingdom.; Centre for Mathematical Modelling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, United Kingdom., Hamley JID; London Centre for Neglected Tropical Disease Research, Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.; Medical Research Council Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom., Huang CI; Mathematics Institute, University of Warwick, Coventry, United Kingdom.; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, University of Warwick, Coventry, United Kingdom., Kura K; London Centre for Neglected Tropical Disease Research, Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.; Medical Research Council Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom., Lietman TM; Francis I Proctor Foundation, University of California, San Francisco, California, United States of America.; Department of Ophthalmology, University of California, San Francisco, California, United States of America.; Department of Epidemiology & Biostatistics, University of California, San Francisco, California, United States of America., Lucas TCD; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Oxford, United Kingdom., Malizia V; Department of Public Health, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands., Medley GF; Centre for Mathematical Modelling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, United Kingdom., Meeyai A; Centre for Mathematical Modelling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, United Kingdom., Michael E; Department of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, United States of America., Porco TC; Francis I Proctor Foundation, University of California, San Francisco, California, United States of America.; Department of Ophthalmology, University of California, San Francisco, California, United States of America.; Department of Epidemiology & Biostatistics, University of California, San Francisco, California, United States of America., Prada JM; School of Veterinary Medicine, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom., Rock KS; Mathematics Institute, University of Warwick, Coventry, United Kingdom.; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, University of Warwick, Coventry, United Kingdom., Le Rutte EA; Department of Public Health, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands.; Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland.; University of Basel, Basel, Switzerland., Smith ME; Department of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, United States of America., Spencer SEF; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, University of Warwick, Coventry, United Kingdom.; Department of Statistics, University of Warwick, Coventry, United Kingdom., Stolk WA; Department of Public Health, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands., Touloupou P; Department of Statistics, University of Warwick, Coventry, United Kingdom., Vasconcelos A; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Oxford, United Kingdom., Vegvari C; London Centre for Neglected Tropical Disease Research, Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.; Medical Research Council Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom., de Vlas SJ; Department of Public Health, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands., Walker M; London Centre for Neglected Tropical Disease Research, Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.; London Centre for Neglected Tropical Disease Research, Department of Pathobiology and Population Sciences, Royal Veterinary College, University of London, Hatfield, Hertfordshire, United Kingdom., Hollingsworth TD; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Oxford, United Kingdom.

Publikováno v: Clinical infectious diseases : an official publication of the Infectious Diseases Society of America [Clin Infect Dis] 2021 Apr 26; Vol. 72 (8), pp. 1463-1466.

When, Who, and How to Sample: Designing Practical Surveillance for 7 Neglected Tropical Diseases as We Approach Elimination.

Autor: Toor J; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom., Coffeng LE; Department of Public Health, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, The Netherlands., Hamley JID; London Centre for Neglected Tropical Disease Research, Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.; Medical Research Council Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom., Fronterre C; Centre for Health Informatics, Computing, and Statistics, Lancaster University, Lancaster, United Kingdom., Prada JM; School of Veterinary Medicine, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom., Castaño MS; Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, University of Basel, Basel, Switzerland., Davis EL; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom., Godwin W; Francis I. Proctor Foundation, University of California San Francisco, San Francisco, California, USA., Vasconcelos A; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom., Medley GF; Centre for Mathematical Modelling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, United Kingdom., Hollingsworth TD; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom.

Publikováno v: The Journal of infectious diseases [J Infect Dis] 2020 Jun 11; Vol. 221 (Suppl 5), pp. S499-S502.

Modelling timelines to elimination of sleeping sickness in the Democratic Republic of Congo, accounting for possible cryptic human and animal transmission.

Autor: Crump, Ronald E.^1,2 (AUTHOR), Aliee, Maryam^1,2 (AUTHOR), Sutherland, Samuel A.^1,3 (AUTHOR), Huang, Ching-I^1,2 (AUTHOR), Crowley, Emily H.^1,2 (AUTHOR), Spencer, Simon E. F.^1,4 (AUTHOR), Keeling, Matt J.^1,2,5 (AUTHOR), Shampa, Chansy⁶ (AUTHOR), Mwamba Miaka, Erick⁶ (AUTHOR), Rock, Kat S.^1,2 (AUTHOR) k.s.rock@warwick.ac.uk

Publikováno v: Parasites & Vectors. 8/9/2024, Vol. 17 Issue 1, p1-18. 18p.

Modelling the cost of engage & treat and test & treat strategies towards the elimination of lymphatic filariasis in Ghana.

Autor: Adams, Nathaniel N. K.¹ (AUTHOR), Ahorlu, Collins S.² (AUTHOR), de Souza, Dziedzom K.³ (AUTHOR) ddesouza@noguchi.ug.edu.gh, Aikins, Moses¹ (AUTHOR) ddesouza@noguchi.ug.edu.gh

Publikováno v: PLoS Neglected Tropical Diseases. 5/25/2024, Vol. 18 Issue 5, p1-19. 19p.