41 to 50 of 118 Results
May 13, 2024 -
Health apps and wearable use in Singapore, China, and the US
Tabular Data - 1.4 MB - 343 Variables, 1019 Observations - UNF:6:sddlEWvG+FVWKwzas5BXbQ==
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May 13, 2024 -
Health apps and wearable use in Singapore, China, and the US
Tabular Data - 1.2 MB - 314 Variables, 1006 Observations - UNF:6:VhUdVwq7bya1tuIkEmCDuw==
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May 13, 2024 - Edmund LEE Wei Jian
Lee, Edmund Wei Jian, 2024, "Usage of apps, wearables, and exergames among older adults in Singapore", https://doi.org/10.21979/N9/BQ9ZKM, DR-NTU (Data), V1, UNF:6:A7krfrLYhHLrH1sa/yNbDQ== [fileUNF]
This is a project where we trained older adults in Singapore over a period of 4 weeks to use health apps, wearables, and exergames. |
Tabular Data - 67.5 KB - 220 Variables, 72 Observations - UNF:6:A7krfrLYhHLrH1sa/yNbDQ==
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May 13, 2024 - Edmund LEE Wei Jian
Lee, Edmund Wei Jian, 2024, "Digital Traces and Well-Being Project", https://doi.org/10.21979/N9/G6DEO6, DR-NTU (Data), V1
This project is a pre-post survey of young people's well-being after using smartphones. |
May 13, 2024 -
Digital Traces and Well-Being Project
MS Excel Spreadsheet - 89.8 KB -
MD5: b9b330f4d0d8e577fa6152297173de2a
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May 13, 2024 - Edmund LEE Wei Jian
Lee, Edmund Wei Jian, 2024, "Telehealth adoption in Singapore and US", https://doi.org/10.21979/N9/QHDYJF, DR-NTU (Data), V1, UNF:6:nKp+d7fBFmncVwP+7UNC5w== [fileUNF]
This is a large scale survey of telehealth adoption in Singapore and US |
May 13, 2024 -
Telehealth adoption in Singapore and US
Tabular Data - 439.6 KB - 215 Variables, 1001 Observations - UNF:6:2ZaTuo8xMgJUywfhaMxXaw==
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May 13, 2024 -
Telehealth adoption in Singapore and US
Tabular Data - 444.0 KB - 215 Variables, 1002 Observations - UNF:6:GqqYkvuPIqbVb1uRfN/UlA==
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Jan 31, 2024 - Lwin May Oo
Lwin, May Oo; Sheldenkar, Anita; Tng, Pei Ling, 2024, "Related data for: "You must be myths-taken: Examining belief in falsehoods during the Covid-19 health crisis"", https://doi.org/10.21979/N9/PCWG0U, DR-NTU (Data), V1, UNF:6:UPhTeITlQSFVpMgLVgzVmQ== [fileUNF]
This is the minimal anonymised dataset underlying the findings discussed in the paper titled "You must be myths-taken: Examining belief in falsehoods during the Covid-19 health crisis". Data for the 2020 survey is provided in its raw form, while data for the 2022 survey is shared... |
