Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Mark D. Walker"'
Autor:
Mark D. Walker
Publikováno v:
Emerging Infectious Diseases, Vol 24, Iss 8, Pp 1601-1601 (2018)
Externí odkaz:
https://doaj.org/article/3052e71e8f894c13a3c38ea7ac3b1357
Autor:
Mark D. Walker, Keven Yost
Publikováno v:
Journal of Financial Research. 45:695-718
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f98f99748208238297ca94ce34cda2ac
https://doi.org/10.1111/jfir.12296
https://doi.org/10.1111/jfir.12296
Autor:
Mark D. Walker
Publikováno v:
International Journal of Dermatology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b07d5241653a524339ce22fa53a8a2a
https://doi.org/10.1111/ijd.16720
https://doi.org/10.1111/ijd.16720
Publikováno v:
The World Economy. 45:1978-1996
The Belt and Road Initiative was introduced by President Xi in an attempt to further economic connections with partner countries and foster development within China. We examine the effect of the Initiative on Chinese cross-border M&As. We find that t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef29f04fab5fe8fff6e2f32e6134922a
https://doi.org/10.1111/twec.13233
https://doi.org/10.1111/twec.13233
Autor:
Mark D. Walker
Publikováno v:
Journal of Communication in Healthcare. 14:303-311
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::099d40bbc9cef66fc16bb8d3088d793e
https://doi.org/10.1080/17538068.2021.1926181
https://doi.org/10.1080/17538068.2021.1926181
Autor:
Mihály Sulyok, Mark D. Walker
Publikováno v:
Research Methods in Medicine & Health Sciences. :263208432311766
Relatively few epidemiological studies have utilized Random Forests (RF), possibly because the time series data often encountered in this discipline are perceived as unsuitable for supervised learning methods. We show RF can be used for such data, an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00beeeb4ed1ba046dfca39a43aca5d9a
https://doi.org/10.1177/26320843231176660
https://doi.org/10.1177/26320843231176660
Autor:
Mark D. Walker, Mihály Sulyok
Publikováno v:
Methods of Information in Medicine. 59:179-182
Background Restrictions on social interaction and movement were implemented by the German government in March 2020 to reduce the transmission of coronavirus disease 2019 (COVID-19). Apple's “Mobility Trends” (AMT) data details levels of community
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31fe0f211e1f33a1dcef24b904827228
https://doi.org/10.1055/s-0041-1726276
https://doi.org/10.1055/s-0041-1726276
Publikováno v:
Transboundary and Emerging Diseases
The current COVID-19 pandemic offers a unique opportunity to examine the utility of Internet search data in disease modelling across multiple countries. Most such studies typically examine trends within only a single country, with few going beyond de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8a82533d8e9e53444aabe84437b273e
https://doi.org/10.1111/tbed.13887
https://doi.org/10.1111/tbed.13887
Publikováno v:
Heliyon, Vol 7, Iss 11, Pp e08386-(2021)
Heliyon
Heliyon
Background Alternative methods could be used to enhance the monitoring and forecasting of re-emerging conditions such as pertussis. Here, whether data on the volume of Internet searching on pertussis could complement traditional modeling based solely
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c28c7078ff1f5c4967e106ea4124d31b
http://www.sciencedirect.com/science/article/pii/S2405844021024890
http://www.sciencedirect.com/science/article/pii/S2405844021024890