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1.
JMIR Public Health Surveill ; 9: e39992, 2023 02 20.
Article in English | MEDLINE | ID: covidwho-2198116

ABSTRACT

BACKGROUND: Physical activity (PA) and sedentary behavior (SB) have been affected by the COVID-19 pandemic and its restrictive environments, such as social distancing and lockdown measures. However, regional differences in the changes in domain-specific PA and SB in response to the COVID-19 pandemic are not clearly understood. OBJECTIVE: This study aimed to examine regional differences in domain-specific PA and SB, as well as sleeping time in response to the COVID-19 pandemic in Japan. METHODS: A web-based cross-sectional nationwide survey and an accelerometer-based longitudinal observation were conducted. In the web-based survey, we recruited 150 Japanese men and 150 Japanese women for each of the following age groups: 20s, 30s, 40s, 50s, 60s, and 70s (n=1800). A total of 1627 adults provided valid responses to web-based surveillance from June to July 2020. Participants were recruited from urban (Greater Tokyo Area, n=1028), urban-rural (regional core cities, n=459), or rural (regional small and medium cities, n=140) areas. They answered sociodemographic and health-related questions and retrospectively registered the PA data of their average day before and during the COVID-19 pandemic in a web-based PA record system. In the accelerometer-based observation, PA and step count data were obtained using a triaxial accelerometer on people living in urban (n=370) and rural (n=308) areas. RESULTS: Before the COVID-19 pandemic, there were no significant differences between these 3 regions in the time spent sleeping, staying at home, working or studying, and exercising (P>.05). By contrast, people living in urban areas had a longer duration of SB and transportation and a shorter duration of moderate-to-vigorous PA and lying or napping time compared with people living in rural areas (P>.05). During the COVID-19 pandemic, a significant decrease was observed in transportation time in urban (-7.2 min/day, P<.001) and urban-rural (-2.0 min/day, P=.009) areas but not in rural (-0.4 min/day, P=.52) areas. The moderate-to-vigorous PA was decreased in urban (-31.3 min/day, P<.001) and urban-rural (-30.0 min/day, P<.001) areas but not in rural areas (-17.3 min/day, P=.08). A significant increase was observed in time spent sleeping in urban (+22.4 min/day, P<.001) and urban-rural (+24.2 min/day, P<.001) but not in rural areas (+3.9 min/day, P=.74). Lying or napping was increased in urban (+14.9 min/day, P<.001) but not in rural areas (-6.9 min/day, P=.68). PA and step count obtained using an accelerometer significantly decreased in urban (P<.05) but not in rural areas (P>.05). CONCLUSIONS: The effect of the COVID-19 pandemic on PA and SB was significantly dependent on living area, even in a single country. The effects of PA and SB were greater in the Greater Tokyo Area and regional core cities but were not observed in regional small and medium cities in Japan.


Subject(s)
COVID-19 , Sedentary Behavior , Male , Adult , Humans , Female , Young Adult , Cross-Sectional Studies , Pandemics , COVID-19/epidemiology , Communicable Disease Control , Exercise/physiology , Accelerometry , Internet
2.
18th Brazilian Symposium on Information Systems: Information Systems for a More Humane World!, SBSI 2022 ; Par F180474, 2022.
Article in Portuguese | Scopus | ID: covidwho-1950314

ABSTRACT

Context: Social distancing measures to reduce the impacts of the COVID-19 pandemic bring challenges for several organizations and their Information Systems (IS). Problem: Social distancing were suddenly implemented, with no adequate planning. Furthermore, there is not a clear understanding of the impacts of social distancing measures on the software development teams' work. Solution: This study aims to identify the presence and impacts of social distancing on collaboration between people, as well as on activities and technologies used in software development, from the perspective of professionals who work in software development teams. IS Theory: The research was developed under the aegis of the Team Resilience Theory. Method: A field study was conducted based on structured interviews and qualitative analysis. Results: In general, it was observed no impact on the software processes activities, although their performance was affected. It was also observed that the impact on the collaboration dynamics in software development was perceived in different ways, by several team members. This study identified the most common tools used by organizations, as well as the benefits and challenges of collaboration in software development after social distancing measures. Contribution: The impacts of social distancing on collaboration in software development were identified, reinforcing the Team Resilience Theory and similar study conducted in the beginning of the COVID-19 pandemic. This study contributes to the Grand Research Challenge "Systemic and Socially Aware Perspective for Information Systems". © 2022 ACM.

3.
BMC Infect Dis ; 21(1): 485, 2021 May 26.
Article in English | MEDLINE | ID: covidwho-1244911

ABSTRACT

BACKGROUND: After relaxing social distancing measures, South Korea experienced a resurgent second epidemic wave of coronavirus disease 2019 (COVID-19). In this study, we aimed to identify the transmission dynamics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections and assess the impact of COVID-19 case finding and contact tracing in each epidemic wave. METHODS: We collected data on COVID-19 cases published by local public health authorities in South Korea and divided the study into two epidemic periods (19 January-19 April 2020 for the first epidemic wave and 20 April-11 August 2020 for the second epidemic wave). To identify changes in the transmissibility of SARS-CoV-2, the daily effective reproductive number (Rt) was estimated using the illness onset of the cases. Furthermore, to identify the characteristics of each epidemic wave, frequencies of cluster types were measured, and age-specific transmission probability matrices and serial intervals were estimated. The proportion of asymptomatic cases and cases with unknown sources of infection were also estimated to assess the changes of infections identified as cases in each wave. RESULTS: In early May 2020, within 2-weeks of a relaxation in strict social distancing measures, Rt increased rapidly from 0.2 to 1.8 within a week and was around 1 until early July 2020. In both epidemic waves, the most frequent cluster types were religious-related activities and transmissions among the same age were more common. Furthermore, children were rarely infectors or infectees, and the mean serial intervals were similar (~ 3 days) in both waves. The proportion of asymptomatic cases at presentation increased from 22% (in the first wave) to 27% (in the second wave), while the cases with unknown sources of infection were similar in both waves (22 and 24%, respectively). CONCLUSIONS: Our study shows that relaxing social distancing measures was associated with increased SARS-CoV-2 transmission despite rigorous case findings in South Korea. Along with social distancing measures, the enhanced contact tracing including asymptomatic cases could be an efficient approach to control further epidemic waves.


Subject(s)
COVID-19/epidemiology , COVID-19/prevention & control , COVID-19/transmission , Communicable Disease Control/methods , Epidemics/statistics & numerical data , SARS-CoV-2 , Adolescent , Adult , Aged , Aged, 80 and over , Basic Reproduction Number , Child , Cluster Analysis , Female , Humans , Male , Middle Aged , Republic of Korea/epidemiology , Young Adult
4.
Public Health ; 192: 12-14, 2021 Mar.
Article in English | MEDLINE | ID: covidwho-343588

ABSTRACT

OBJECTIVES: On March 28, the Japanese government decided on the "Basic Policies for Novel Coronavirus Disease Control" and called on the public to thoroughly implement social distancing measures (i.e., behavioral restrictions to limit the frequency and intensity of human contact), especially telework. METHODS: We used population-level questionnaire data from a social networking service (SNS), with 275,560 respondents from March 5 to April 6, to evaluate the relationship between telework implementation and the presence of a fever (body temperature higher than 37.5 °C) within 1 month as a surrogate indicator of COVID-19 infection, by occupation type and age-group. RESULTS: Among company employees, statistical significance was identified in the 15- to 29-year and 30- to 59-year age-groups, showing higher fever rates in the non-teleworker group (for the 15- to 29-year age-group, non-teleworkers: 7.64%; teleworkers: 6.45%; P = 0.02; for the 30- to 59-year age-group, non-teleworkers: 3.46%; teleworkers: 3.14%; P = 0.02). CONCLUSIONS: Telework remains a controversial topic in Japan as the government called for emergency measures. Although caution is warranted in interpreting our findings because our data are limited to the voluntary SNS users, they will be essential to push forward with more measures to promote social distancing measures in the midst of Japan's current tense political climate.


Subject(s)
COVID-19/prevention & control , Fever/epidemiology , Physical Distancing , Teleworking/statistics & numerical data , Adolescent , Adult , COVID-19/epidemiology , COVID-19/psychology , Female , Fever/etiology , Government , Humans , Japan , Middle Aged , Pandemics , SARS-CoV-2 , Social Networking , Social Work , Surveys and Questionnaires , Young Adult
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