Effect of individual preventive practices on COVID-19 infection: an analysis of big data collected at PCR testing centers in Hiroshima, Japan DOI Creative Commons

Tatsuhiro Nagata,

Odgerel Chimed‐Ochir, Yui Yumiya

et al.

BMC Public Health, Journal Year: 2025, Volume and Issue: 25(1)

Published: Feb. 19, 2025

Abstract Background By May 7, 2023, COVID-19 had significantly impacted Japan, with 33,728,909 infections and 74,663 deaths reported. Hiroshima Prefecture alone recorded 816,354 cases 1,373 deaths. The World Health Organization emphasized the importance of non-pharmaceutical interventions (NPIs) for preventing infectious disease transmission. Individual NPIs, such as hand hygiene, mask wearing, avoiding crowded places, comprise simple everyday measures that individuals can personally undertake to protect themselves others from contracting transmitting respiratory infections. Japan’s Cabinet Secretariat also recommended these measures. Previous studies investigated effectiveness NPIs but often used relatively short data-collection periods. Starting in 2020, adopted a unique public health surveillance policy standardized forms. present analysis examines association between individual Methods Data were collected at 14 PCR centers April 1, 2021, August 3, 2022 Prefecture. Participants filled out J-SPEED-style form, which included items on demographic information, job type, symptoms, NPIs. data analyzed NPI compliance rates, infection rates relation adoption, adjusted risk ratios, obtained using multivariate log-binomial regression model. Results A total 1,125,188 tested 4th 7th waves analyzed. Among study population, rate increased through various waves, highest (8.3%) seen wave. Adults aged 40–49 most commonly tested, while those 60–69 lowest rates. Wearing masks/washing hands was followed NPI. Compliance decreased waves. Individuals adhering lower number preventive correlated reduced risk. Conclusion This provides evidence guide prevention policies. Simultaneous adherence multiple proved more effective COVID-19. Despite changes viral strains infected cases, washing/mask refraining travel, dining associated reduction infection. Our findings are likely be applicable future outbreaks.

Language: Английский

Application of Digital Twins and Building Information Modeling in the Digitization of Transportation: A Bibliometric Review DOI Creative Commons
Chao Gao, Jianwei Wang, Shi Dong

et al.

Applied Sciences, Journal Year: 2022, Volume and Issue: 12(21), P. 11203 - 11203

Published: Nov. 4, 2022

The industrial transformation led by digitization-related technologies has attracted research attention in recent decades, enhancing its application different sectors. transport industry is a crucial driving force for economic growth and social development. It still necessary to make transportation infrastructure services safer, cleaner, more affordable cope with increasing urbanization mobility. This paper systematically examines the science mapping of building information modeling digital twins digitalization transportation. Through bibliometric content analysis approaches, 493 related documents were screened analyzed from Web Science Scopus databases. software programs VOSviewer Bibliometrix used determine trends current gaps, which will be beneficial future this vital field. results showed that over 80% relevant have been published since 2018. China most productive country, followed United States Italy, Germany cited influential country. Moreover, also revealed leading authors, top journals, highly papers. findings may as guide for: (1) improving efficiency intelligent system element management; (2) development technologies; (3) flow goals entire-life-cycle (4) optimization algorithms models.

Language: Английский

Citations

27
COVID-19 transmission in U.S. transit buses: A scenario-based approach with agent-based simulation modeling (ABSM) DOI Creative Commons
Sachraa G. Borjigin, Qian He, Deb Niemeier

et al.

Communications in Transportation Research, Journal Year: 2023, Volume and Issue: 3, P. 100090 - 100090

Published: Jan. 9, 2023

The transit bus environment is considered one of the primary sources transmission COVID-19 (SARS-CoV-2) virus. Modeling disease in public buses remains a challenge, especially with uncertainties passenger boarding, alighting, and onboard movements. Although there are initial findings on effectiveness some mitigation policies (such as face-covering ventilation), evidence scarce how these could affect risk under realistic setting considering different headways, boarding alighting patterns, seating capacity control. This study examines specific policy regimes that agencies implemented during early phases pandemic inUSA, which it brings crucial insights combating current future epidemics. We use an agent-based simulation model (ABSM) based standard design characteristics for urban USA two service frequency settings (10-min 20-min headways). find wearing face-coverings (surgical masks) significantly reduces rates, from no rates 85% higher-frequency 75% lower-frequency to 12.5%. most effective prevention outcome combination KN-95 masks, open window policies, half-capacity control services, nearly 0% infection rate. Our results advance understanding risks contribute design, ensuring safety. this provide important implications operational adjustment safety protocols seek plan emergencies.

Language: Английский

Citations

14
Carpooling: Who is closest to adopting it? An investigation into the potential car-poolers among private vehicle users: A case of a developing country, India DOI
Aditya Saxena, Vallary Gupta

Transport Policy, Journal Year: 2023, Volume and Issue: 135, P. 11 - 20

Published: March 13, 2023

Language: Английский

Citations

14
Do teleworking and online shopping influence modality styles for work and shopping tours? A latent class cluster analysis DOI Creative Commons
Harsh Shah, André Carrel

Transportation Research Part A Policy and Practice, Journal Year: 2024, Volume and Issue: 180, P. 103966 - 103966

Published: Jan. 21, 2024

The large-scale adoption of Information and Communication Technologies (ICT) such as teleworking online shopping affects mobility behavior on many dimensions. While a large body research investigates the relationship between ICT use various travel outcomes, consideration mode has been limited, with most studies only focusing subset modes overlooking differences across purposes. Therefore, there remains shortage literature taking comprehensive view multiple dimensions in context capturing all principal that travelers may use. We investigate an individual's their habitual use, termed modality style, which is considered indicator latent preferences for certain transportation modes. Using one-week travel-activity diary from 2019 Puget Sound Regional Household Travel dataset, class cluster analyses work, grocery shopping, non-grocery tours are performed to distinguish styles respective analysis finds distinct Non-travelers found case work travel, consisting individuals high levels shopping. A key outcome identification characterized by moderate car frequent carpooling, Furthermore, style lower household ownership than more car-centric style. Thus, this study not contributes unraveling but also ownership.

Language: Английский

Citations

5
The Impact of COVID-19 on the Choice of Transport Means in Journeys to Work Based on the Selected Example from Poland DOI Open Access
Wojciech Kazimierz Szczepanek, M. Kruszyna

Sustainability, Journal Year: 2022, Volume and Issue: 14(13), P. 7619 - 7619

Published: June 22, 2022

In recent years, the problem of overusing cars has been amplified by COVID-19 pandemic. To understand this problem, we analyzed results a survey dedicated to mobility patterns employees Wroclaw University Sciences and Technology conducted in June July 2021. Consideration was given share different means transport their changes pre-, through post-COVID-19 periods factors such as distance, population public standards specific for various journeys. Overall, found that pandemic strongly influenced choice means. We did not identify any significant influence distance or on between periods. However, regardless period, dependencies were evident.

Language: Английский

Citations

20
Quantifying the impact of COVID-19 on travel behavior in different socio-economic segments DOI Open Access
Haoning Xi, Qin Li, David A. Hensher

et al.

Transport Policy, Journal Year: 2023, Volume and Issue: 136, P. 98 - 112

Published: March 23, 2023

Language: Английский

Citations

11
Impact of Covid-19 on motorized transport modes in Tehran: competition or complementarity? DOI

Sina Karimi,

Mahdi Samadzad, Gaële Lesteven

et al.

Proceedings of the Institution of Civil Engineers - Transport, Journal Year: 2024, Volume and Issue: 177(6), P. 372 - 385

Published: Feb. 2, 2024

The Covid-19 pandemic had a significant impact on people's travel behaviour and their perception of various transportation modes. This paper presents the results two cross-sectional surveys conducted in Tehran, Iran, during after pandemic. Multivariate ordered logit modelling is used to identify factors that influence usage explore interrelationships by analysing correlations among utility frequency use private car, public transportation, ride-hailing collective line taxi. Socioeconomic characteristics contribute significantly. Low-income individuals were more likely transport pandemic, whereas university students sector employees prone ride-hailing. Women tended more, especially post-pandemic period. findings suggest while, whole, has increased for all modes period, terms commuting modal share, metro gained substantially car lost. Ride-hailing proved highly resilient Tehran's mobility landscape. Correlation analysis indicated clear contrast between cars transport/collective taxis, which further heightened Although complements both it does not exhibit meaningful with car.

Language: Английский

Citations

4
Crowdedness information and travel decisions of pedestrians and public transport users in the COVID-19 era: A stated preference analysis DOI
Maria Karatsoli, Eftihia Nathanail, Socrates Basbas

et al.

Cities, Journal Year: 2024, Volume and Issue: 149, P. 104973 - 104973

Published: April 3, 2024

Language: Английский

Citations

4
Linking short- and long-term impacts of the COVID-19 pandemic on travel behavior and travel preferences in Alabama: A machine learning-supported path analysis DOI
Ningzhe Xu, Qifan Nie, Jun Liu

et al.

Transport Policy, Journal Year: 2024, Volume and Issue: 151, P. 46 - 62

Published: April 11, 2024

Language: Английский

Citations

4
Going Nowhere Faster: Did the Covid-19 Pandemic Accelerate the Trend Toward Staying Home? DOI Creative Commons
Eric A. Morris, Samuel Speroni, Brian D. Taylor

et al.

Journal of the American Planning Association, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 19

Published: Oct. 30, 2024

Problem, research strategy, and findings Covid-19 significantly altered work, out-of-home activity participation, travel, with much time being moved into the home. If these patterns hold, they could imply significant long-term changes for homes, businesses, cities, transportation. We examined data 34,000 respondents to American Time Use Survey from 2019 (the pre-pandemic period), 2021 pandemic 2022 2023 post-pandemic period). used ordinary least squares (OLS) regressions study participation in 12 activities, travel (by auto, transit, walking), 16 in-home activities. observed sharp declines overall activity, by all modes, 10 of specific activities compared 2019, whereas spent on 13 rose during that period. By 2023, most persisted: out-of-home, traveling six remained notably lower than nine higher. The trend away appears be persisting.

Language: Английский

Citations

4