Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Timothy M. Kinyanjui"'
Autor:
Joyce U Nyiro, Ivy K Kombe, Charles J Sande, James Kipkoech, Patience K Kiyuka, Clayton O Onyango, Patrick K Munywoki, Timothy M Kinyanjui, D James Nokes
Publikováno v:
PLoS ONE, Vol 12, Iss 5, p e0177803 (2017)
Respiratory syncytial virus (RSV) is an important cause of lower respiratory tract disease in early life and a target for vaccine prevention. Data on the age-prevalence of RSV specific antibodies will inform on optimizing vaccine delivery.Archived pl
Externí odkaz:
https://doaj.org/article/3bce2188aa5a410b925d01d1299ade4c
Autor:
Timothy M Kinyanjui, Thomas A House, Moses C Kiti, Patricia A Cane, David J Nokes, Graham F Medley
Publikováno v:
PLoS ONE, Vol 10, Iss 9, p e0138018 (2015)
Respiratory syncytial virus (RSV) is globally ubiquitous, and infection during the first six months of life is a major risk for severe disease and hospital admission; consequently RSV is the most important viral cause of respiratory morbidity and mor
Externí odkaz:
https://doaj.org/article/bea757965e3142ba8b89431d1cade903
Autor:
Timothy M. Kinyanjui, D J Nokes, Sompob Saralamba, Wirichada Pan-Ngum, Sylvia Taylor, Lisa J. White
Publikováno v:
Vaccine: X, Vol 4, Iss, Pp-(2020)
Kinyanjui, T M, Pan-Ngum, W, Saralamba, S, Taylor, S & Nokes, D J 2020, ' Model evaluation of target product profiles of an infant vaccine against respiratory syncytial virus (RSV) in a developed country setting ', Vaccine . https://doi.org/10.1016/j.jvacx.2020.100055
Vaccine: X
Kinyanjui, T M, Pan-Ngum, W, Saralamba, S, Taylor, S & Nokes, D J 2020, ' Model evaluation of target product profiles of an infant vaccine against respiratory syncytial virus (RSV) in a developed country setting ', Vaccine . https://doi.org/10.1016/j.jvacx.2020.100055
Vaccine: X
Respiratory syncytial virus (RSV) is a major cause of lower respiratory tract disease in children worldwide and is a significant cause of hospital admissions in young children in England. No RSV vaccine has been licensed but a number are under develo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::603add16639bda06248b7c0d75b68ae7
http://www.sciencedirect.com/science/article/pii/S2590136220300024
http://www.sciencedirect.com/science/article/pii/S2590136220300024
Autor:
Sompob Saralamba, Moses C. Kiti, Sylvia Taylor, Jean-François Toussaint, Wirichada Pan-Ngum, Lisa J. White, Thierry Van Effelterre, Timothy M. Kinyanjui, D. James Nokes
Publikováno v:
Vaccine
Kinyanjui, T M 2017, ' Predicting the relative impacts of maternal and neonatal respiratory syncytial virus (RSV) vaccine target product profiles: A consensus modelling approach. ', Vaccine, vol. 35, no. 2, pp. 403-409 . https://doi.org/10.1016/j.vaccine.2016.10.073
Kinyanjui, T M 2017, ' Predicting the relative impacts of maternal and neonatal respiratory syncytial virus (RSV) vaccine target product profiles: A consensus modelling approach. ', Vaccine, vol. 35, no. 2, pp. 403-409 . https://doi.org/10.1016/j.vaccine.2016.10.073
BackgroundRespiratory syncytial virus (RSV) is the major viral cause of infant and childhood lower respiratory tract disease worldwide. Defining the optimal target product profile (TPP) is complicated due to a wide range of possible vaccine propertie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e37076b83ce34963b5c42b82cd809a1c
Autor:
Moses C. Kiti, Michele Tizzoni, Ciro Cattuto, Dorothy C. Koech, Patrick K. Munywoki, Luca Cappa, Milosch Meriac, D. James Nokes, Alain Barrat, Timothy M. Kinyanjui, André Panisson
Publikováno v:
Europe PubMed Central
EPJ Data Science
EPJ Data Science, EDP Sciences, 2016, 5, pp.21. ⟨10.1140/epjds/s13688-016-0084-2⟩
Epj Data Science
Kiti, M C, Tizzoni, M, Kinyanjui, T M, Koech, D C, Munywoki, P K, Meriac, M, Cappa, L, Panisson, A, Barrat, A, Cattuto, C & Nokes, D J 2016, ' Quantifying social contacts in a household setting of rural Kenya using wearable proximity sensors ', EPJ Data Science, vol. 5, 21 . https://doi.org/10.1140/epjds/s13688-016-0084-2
EPJ Data Science, 2016, 5, pp.21. ⟨10.1140/epjds/s13688-016-0084-2⟩
EPJ Data Science
EPJ Data Science, EDP Sciences, 2016, 5, pp.21. ⟨10.1140/epjds/s13688-016-0084-2⟩
Epj Data Science
Kiti, M C, Tizzoni, M, Kinyanjui, T M, Koech, D C, Munywoki, P K, Meriac, M, Cappa, L, Panisson, A, Barrat, A, Cattuto, C & Nokes, D J 2016, ' Quantifying social contacts in a household setting of rural Kenya using wearable proximity sensors ', EPJ Data Science, vol. 5, 21 . https://doi.org/10.1140/epjds/s13688-016-0084-2
EPJ Data Science, 2016, 5, pp.21. ⟨10.1140/epjds/s13688-016-0084-2⟩
Close proximity interactions between individuals influence how infections spread. Quantifying close contacts in developing world settings, where such data is sparse yet disease burden is high, can provide insights into the design of intervention stra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b7a003294384c3848f780f2aa79b1de