Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Panayiota Touloupou"'
Autor:
Joaquín M. Prada, Panayiota Touloupou, Moses Adriko, Edridah M. Tukahebwa, Poppy H. L. Lamberton, T. Déirdre Hollingsworth
Publikováno v:
Parasites & Vectors, Vol 11, Iss 1, Pp 1-8 (2018)
Abstract Background Schistosomiasis is a major socio-economic and public health problem in many sub-Saharan African countries. After large mass drug administration (MDA) campaigns, prevalence of infection rapidly returns to pre-treatment levels. The
Externí odkaz:
https://doaj.org/article/7bddf132fbad4124a9863bcd9d027cbc
Autor:
Edwin Michael, Swarnali Sharma, Morgan E Smith, Panayiota Touloupou, Federica Giardina, Joaquin M Prada, Wilma A Stolk, Deirdre Hollingsworth, Sake J de Vlas
Publikováno v:
PLoS Neglected Tropical Diseases, Vol 12, Iss 10, p e0006674 (2018)
BACKGROUND:Mathematical models are increasingly being used to evaluate strategies aiming to achieve the control or elimination of parasitic diseases. Recently, owing to growing realization that process-oriented models are useful for ecological foreca
Externí odkaz:
https://doaj.org/article/bb047828de5f4366b893a008dd1fa068
Infectious diseases remain one of the major causes of human mortality and suffering. Mathematical models have been established as an important tool for capturing the features that drive the spread of the disease, predicting the progression of an epid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65fe44dcbd35b1af345e6b9cbc2f282f
https://www.repository.cam.ac.uk/handle/1810/312542
https://www.repository.cam.ac.uk/handle/1810/312542
Autor:
Panayiota Touloupou, T. Déirdre Hollingsworth, Emma L Davis, Swarnali Sharma, Sake J. de Vlas, Morgan E. Smith, Wilma A. Stolk, Joaquin M. Prada, Periklis Kontoroupis, Edwin Michael
Publikováno v:
S509
S503
The Journal of Infectious Diseases
Journal of Infectious Diseases, 221, S503-S509. Oxford University Press
S503
The Journal of Infectious Diseases
Journal of Infectious Diseases, 221, S503-S509. Oxford University Press
The low prevalence levels associated with lymphatic filariasis elimination pose a challenge for effective disease surveillance. As more countries achieve the World Health Organization criteria for halting mass treatment and move on to surveillance, t
Autor:
Anna Borlase, Epke A Le Rutte, Soledad Castaño, David J Blok, Jaspreet Toor, Federica Giardina, Emma L Davis, Maryam Aliee, Roy M Anderson, Diepreye Ayabina, Maria-Gloria Basáñez, Seth Blumberg, Rocio M Caja Rivera, Nakul Chitnis, Luc E Coffeng, Christopher N Davis, Michael Deiner, Peter J Diggle, Claudio Fronterrè, Emanuele Giorgi, Matthew Graham, Jonathan ID Hamley, T Deirdre Hollingsworth, Matt J Keeling, Klodeta Kura, Thomas M Lietman, Veronica Malizia, Graham F Medley, Edwin Michael, S Mwangi Thumbi, Nyamai Mutono, Travis Porco, Joaquín M Prada, Kat S Rock, Swarnali Sharma, Simon Spencer, Wilma A Stolk, Panayiota Touloupou, Andreia Vasconcelos, Carolin Vegvari, Sake J de Vlas
Publikováno v:
Lancet Global Health, 10, 11, pp. E1600-E1611
Lancet Global Health, 10, E1600-E1611
The Lancet. Global health, 10(11), e1600-e1611. Elsevier
Lancet Global Health, 10, E1600-E1611
The Lancet. Global health, 10(11), e1600-e1611. Elsevier
Background In line with movement restrictions and physical distancing essential for the control of the COVID-19 pandemic, WHO recommended postponement of all neglected tropical disease (NTD) control activities that involve community-based surveys, ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a2ee11de0f8beabd187f5ab0f3b9c25
https://repository.ubn.ru.nl/handle/2066/285327
https://repository.ubn.ru.nl/handle/2066/285327
Autor:
Wilma A. Stolk, Luc E. Coffeng, Fatorma K. Bolay, Obiora A. Eneanya, Peter U. Fischer, T. Déirdre Hollingsworth, Benjamin G. Koudou, Aboulaye Méité, Edwin Michael, Joaquin M. Prada, Rocio M. Caja Rivera, Swarnali Sharma, Panayiota Touloupou, Gary J. Weil, Sake J. de Vlas
Publikováno v:
PLoS Neglected Tropical Diseases, 16(12):e0010953. Public Library of Science
Background Mass drug administration (MDA) is the main strategy towards lymphatic filariasis (LF) elimination. Progress is monitored by assessing microfilaraemia (Mf) or circulating filarial antigenaemia (CFA) prevalence, the latter being more practic
Publikováno v:
Journal of Computational and Graphical Statistics
Bayesian inference for coupled hidden Markov models frequently relies on data augmentation techniques for imputation of the hidden state processes. Considerable progress has been made on developing such techniques, mainly using Markov chain Monte Car
Autor:
María Soledad Castaño, Robin L. Bailey, Carolin Vegvari, Emanuele Giorgi, Claudio Fronterre, Anna Borlase, Aatreyee M. Das, Veronica Malizia, Matthew R. Graham, Tim C.D. Lucas, Jonathan I D Hamley, Peter J. Diggle, Jaspreet Toor, Panayiota Touloupou, Simon E. F. Spencer, Andreia Vasconcelos, Christopher N. Davis, Klodeta Kura, T. Déirdre Hollingsworth, Luc E. Coffeng, Epke A. Le Rutte, Kat S. Rock, Sake J. de Vlas, David J. Blok, Martin Walker, Edwin Michael, Joaquin M. Prada, Morgan E. Smith, Emma L Davis, Emily R. Adams, Benjamin Amoah, Nakul Chitnis, Ronald E. Crump, Seth Blumberg, Maryam Aliee, Travis C. Porco, Federica Giardina, Thomas M. Lietman, Michael S. Deiner, Graham F. Medley, Wilma A. Stolk, Diepreye Ayabina, Rocio Caja Rivera, Ching-I Huang, Roy M. Anderson, María-Gloria Basáñez, Aronrag Meeyai
Publikováno v:
Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, vol 72, iss 8
Clinical Infectious Diseases, 72(8), 1463-1466. Oxford University Press
Clinical Infectious Diseases
Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America
Clinical Infectious Diseases, 72(8), 1463-1466. Oxford University Press
Clinical Infectious Diseases
Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America
Due to the COVID-19 pandemic, many key neglected tropical disease (NTD) activities have been postponed. This hindrance comes at a time when the NTDs are progressing towards their ambitious goals for 2030. Mathematical modelling on several NTDs, namel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0def5d53b3baaeb7bd7aadc42cb13ffd
https://escholarship.org/uc/item/6986r862
https://escholarship.org/uc/item/6986r862
Autor:
Johanna Munoz, Emma L Davis, Panayiota Touloupou, Wilma A. Stolk, Lisa J. Reimer, Swarnali Sharma, T. Déirdre Hollingsworth, Rocio Caja Rivera, Edwin Michael, Joaquin M. Prada, Sake J. de Vlas
Publikováno v:
Transactions of the Royal Society of Tropical Medicine and Hygiene
Transactions of the Royal Society of Tropical Medicine and Hygiene, 115(3), 261-268. Oxford University Press
Transactions of The Royal Society of Tropical Medicine and Hygiene
Transactions of the Royal Society of Tropical Medicine and Hygiene, 115(3), 261-268. Oxford University Press
Transactions of The Royal Society of Tropical Medicine and Hygiene
Background In view of the current global coronavirus disease 2019 pandemic, mass drug administration interventions for neglected tropical diseases, including lymphatic filariasis (LF), have been halted. We used mathematical modelling to estimate the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4dfae8104a075e139e286753ba1d168e
https://archive.lstmed.ac.uk/16850/3/trab004.pdf
https://archive.lstmed.ac.uk/16850/3/trab004.pdf
Autor:
Nigel P. French, Panayiota Touloupou, Bärbel Finkenstädt, Simon E. F. Spencer, Thomas E. Besser
Publikováno v:
Ann. Appl. Stat. 14, no. 4 (2020), 1925-1944
For most pathogens, testing procedures can be used to distinguish between different strains with which individuals are infected. Due to the growing availability of such data, multistrain models have increased in popularity over the past few years. Qu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f5f1b495dce6edc91811d0a790639e3
http://wrap.warwick.ac.uk/139082/1/WRAP-bayesian-inference-multi-strain-epidemics-application-Escherichia-coli-O157-H7-feedlot-cattle-Touloupou-2020.pdf
http://wrap.warwick.ac.uk/139082/1/WRAP-bayesian-inference-multi-strain-epidemics-application-Escherichia-coli-O157-H7-feedlot-cattle-Touloupou-2020.pdf