Zobrazeno 1 - 10
of 24
pro vyhledávání: '"L. Kendall Krause"'
Autor:
Audrey Rachlin, Lee M. Hampton, Paul A. Rota, Mick N. Mulders, Mark Papania, James L. Goodson, L. Kendall Krause, Matt Hanson, Jennifer Osborn, Cassandra Kelly-Cirino, Beth Evans, Antara Sinha, Lenesha Warrener, David Featherstone, David Brown
Publikováno v:
Vaccines, Vol 12, Iss 8, p 823 (2024)
Efforts to control and eliminate measles and rubella are aided by high-quality surveillance data—supported by laboratory confirmation—to guide decision-making on routine immunization strategies and locations for conducting preventive supplementar
Externí odkaz:
https://doaj.org/article/f18d3e53d5094e26a025e72673059b7d
Autor:
Alyssa N. Sbarra, Mark Jit, Jonathan F. Mosser, Matthew Ferrari, Felicity Cutts, Mark Papania, Katrina Kretsinger, Kevin A. McCarthy, Niket Thakkar, Katy A. M. Gaythorpe, Deepa Gamage, L. Kendall Krause, Emily Dansereau, Natasha Crowcroft, Allison Portnoy
Publikováno v:
Vaccines, Vol 11, Iss 8, p 1389 (2023)
A better understanding of population-level factors related to measles case fatality is needed to estimate measles mortality burden and impact of interventions such as vaccination. This study aimed to develop a conceptual framework of mechanisms assoc
Externí odkaz:
https://doaj.org/article/eaa3fc1363c94557b3a89e170346acc2
Autor:
Xavier Bosch-Capblanch, David O’Donnell, L. Kendall Krause, Christian Auer, Angela Oyo-Ita, Mamadou Samba, Graça Matsinhe, Abdullahi Bulama Garba, Damaris Rodríguez, Meike Zuske, Anthonia Ngozi Njepuome, Sofia Micael Mandjate Lee, Amanda Ross, Suzanne Gajewski, Artur Manuel Muloliwa, Richard B. Yapi, David W. Brown
Publikováno v:
Health Research Policy and Systems, Vol 19, Iss 1, Pp 1-10 (2021)
Abstract Background Health information systems are crucial to provide data for decision-making and demand for data is constantly growing. However, the link between data and decisions is not always rational or linear and the management of data ends up
Externí odkaz:
https://doaj.org/article/4bd7f949e4af4e619204071f149b6597
Autor:
Alyssa N. Sbarra, Jonathan F. Mosser, Mark Jit, Matthew Ferrari, Rebecca E. Ramshaw, Patrick O’Connor, L. Kendall Krause, Emma L. B. Rogowski, Allison Portnoy
Background: To understand current and mitigate future measles mortality burden, it is critical to have robust estimates of measles case fatality. Estimates of measles case fatality ratios (CFR) that are age-, location-, and time-specific are essentia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0299ddc6e79c2e1092c1d8274d2609f
https://doi.org/10.1101/2022.10.05.22280730
https://doi.org/10.1101/2022.10.05.22280730
Autor:
Alyssa N. Sbarra, Mark Jit, Jonathan F. Mosser, Matthew Ferrari, Felicity Cutts, Mark Papania, Katrina Kretsinger, Kevin A. McCarthy, Niket Thakkar, Katy A. M. Gaythorpe, Deepa Gamage, L. Kendall Krause, Emily Dansereau, Allison Portnoy
IntroductionA better understanding of population-level factors related to measles case fatality is needed to estimate measles mortality burden and impact of interventions such as vaccination. This study aimed to develop a conceptual framework of mech
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ff6fe97d804c348554de8bf9499e41a
https://doi.org/10.1101/2022.09.30.22280585
https://doi.org/10.1101/2022.09.30.22280585
Autor:
Damaris Rodríguez, Amanda Ross, Sofia Micael Mandjate Lee, David W. Brown, Artur Manuel Muloliwa, Xavier Bosch-Capblanch, Richard B. Yapi, David O’Donnell, Meike Zuske, Christian Auer, Anthonia Ngozi Njepuome, Abdullahi Bulama Garba, L Kendall Krause, Mamadou Samba, Graça Matsinhe, Suzanne Gajewski, Angela Oyo-Ita
Publikováno v:
Health Research Policy and Systems, Vol 19, Iss 1, Pp 1-10 (2021)
Health Research Policy and Systems
Health Research Policy and Systems
BackgroundHealth information systems are crucial to provide data for decision-making and demand for data is constantly growing. However, the link between data and decisions is not always rational or linear and the management of data ends up overloadi
Autor:
David M Pigott, Rosalind E Howes, Antoinette Wiebe, Katherine E Battle, Nick Golding, Peter W Gething, Scott F Dowell, Tamer H Farag, Andres J Garcia, Ann M Kimball, L Kendall Krause, Craig H Smith, Simon J Brooker, Hmwe H Kyu, Theo Vos, Christopher J L Murray, Catherine L Moyes, Simon I Hay
Publikováno v:
PLoS Neglected Tropical Diseases, Vol 9, Iss 6, p e0003756 (2015)
BACKGROUND:Increasing volumes of data and computational capacity afford unprecedented opportunities to scale up infectious disease (ID) mapping for public health uses. Whilst a large number of IDs show global spatial variation, comprehensive knowledg
Externí odkaz:
https://doaj.org/article/f25a27eba3a04152abe4c10bb453e680
Autor:
Suzanne Gajewski, Tavares Madede, Anthonia Ngozi Njepuome, Graça Matsinhe, Angela Oyo-Ita, Richard B. Yapi, David W. Brown, Artur Manuel Muloliwa, Mamadou Samba, Salimata Berté, Sofia Micael Mandjate Lee, Abdullahi Bulama Garba, L Kendall Krause, Nnette Ekpenyong, Ogonna Nwankwo, Xavier Bosch-Capblanch, Christian Auer, Amanda Ross, Jahit Sacarlal
Publikováno v:
BMJ Open, Vol 11, Iss 7 (2021)
BMJ Open
BMJ Open
IntroductionFront-line health workers in remote health facilities are the first contact of the formal health sector and are confronted with life-saving decisions. Health information systems (HIS) support the collection and use of health related data.
Autor:
Katrina Kretsinger, Xiang Li, Katy A. M. Gaythorpe, Antoine Durupt, Stephanie Shendale, Michael L. Jackson, Simon R Procter, John H. Huber, Jennifer Horton, Andromachi Karachaliou, Imran Mirza, Matthew J. Ferrari, Niket Thakkar, Mark Jit, Caroline Trotter, T. Alex Perkins, Felicity T. Cutts, Ulla Griffiths, Kaja Abbas, André Arsène Bita Fouda, Tewodaj Mengistu, Emily Dansereau, Susy Echeverría-Londoño, L Kendall Krause, Kim Woodruff, Kevin A. McCarthy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e02186c052b6382185751f951acbb90
https://doi.org/10.7554/elife.67023.sa2
https://doi.org/10.7554/elife.67023.sa2
Autor:
Xavier Bosch-Capblanch, David O’Donnell, L Kendall Krause, Christian Auer, Angela Oyo-Ita, Mamadou Samba, Graça Matsinhe, Abdullahi Bulama Garba, Damaris Rodríguez, Meike Zuske, Anthonia Ngozi Njepuome, Sofia Micael Mandjate Lee, Amanda Ross, Suzanne Gajewski, Artur Manuel Muloliwa, Richard B Yapi, David W Brown
BackgroundHealth Information Systems are crucial to provide data for decision-making and data demands are constantly growing. However, the link between data and decisions is not always rational nor linear and the management of data ends up overloadin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1bccbf6532bf39727cff681273ba50b
https://doi.org/10.21203/rs.3.rs-309149/v2
https://doi.org/10.21203/rs.3.rs-309149/v2