Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Kaveh Jahanshahi"'
Publikováno v:
Royal Society Open Science, Vol 10, Iss 9 (2023)
Understanding and monitoring the major influences on SARS-CoV-2 prevalence is essential to inform policy making and devise appropriate packages of non-pharmaceutical interventions. Through evaluating community level influences on the prevalence of SA
Externí odkaz:
https://doaj.org/article/7cd2d23055cb46ffb2c8180a33b9efac
The COVID-19 pandemic has impacted communities far and wide and put tremendous pressure on healthcare systems of countries across the globe. Understanding and monitoring the major influences on COVID-19 prevalence is essential to inform policy making
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9ecbdc61d7b158aeb87ec5d5e2c86a7
https://doi.org/10.1101/2022.04.14.22273759
https://doi.org/10.1101/2022.04.14.22273759
Autor:
Ying Jin, Kaveh Jahanshahi
Publikováno v:
Transportation. 48:1329-1359
Funder: UK Department for Transport
This paper exploits some latest advances in structural equation modelling (SEM) and latent class analysis (LCA) for identification and mapping of the spatial variations in travel choices. The approach controls
This paper exploits some latest advances in structural equation modelling (SEM) and latent class analysis (LCA) for identification and mapping of the spatial variations in travel choices. The approach controls
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ac10f993711d8c4b3d0b0047000f43b
https://doi.org/10.1007/s11116-020-10098-9
https://doi.org/10.1007/s11116-020-10098-9
Publikováno v:
Journal of occupational and environmental medicine. 61(6)
Objective Systematically and simultaneously investigate a wide range of influences on workplace productivity loss. Methods Data were collected from 31,950 employees in the UK. Influences of employees' socioeconomic characteristics, lifestyle, commuti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41e58f6206f059d1861854d262d5e49a
https://pubmed.ncbi.nlm.nih.gov/30985409
https://pubmed.ncbi.nlm.nih.gov/30985409
Autor:
Ying Jin, Kaveh Jahanshahi
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2564:31-40
Using a consistent time series of 11 years (1,137,259 sample trips, 2002 to 2012) and all main variables from the UK National Travel Survey, this paper develops a novel structural equation model (SEM) with random intercepts to gain new insights into
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6072c3b03b2e96a0109d1a8e3e5efe6
https://doi.org/10.3141/2564-04
https://doi.org/10.3141/2564-04