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Harnessing Participatory Surveillance Cohorts and Proxy Indicators to Dynamically Track Epidemic Trends and Undiagnosed COVID-19 Infections in Singapore: Longitudinal Observational Study
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| Published in: | Journal of Medical Internet Research |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1867754657818869760 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Journal of Medical Internet Research |
| description | |
| discipline_display | Internal Medicine |
| discipline_facet | Internal Medicine |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:90382 |
| institution | FRELIP |
| journal_source_facet | Journal of Medical Internet Research |
| last_indexed | 2026-06-12T02:00:45.559Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Harnessing Participatory Surveillance Cohorts and Proxy Indicators to Dynamically Track Epidemic Trends and Undiagnosed COVID-19 Infections in Singapore: Longitudinal Observational Study Internal Medicine General Internal Medicine |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Internal Medicine General Internal Medicine Internal Medicine General Internal Medicine |
| subject_facet | Internal Medicine General Internal Medicine |
| title | Harnessing Participatory Surveillance Cohorts and Proxy Indicators to Dynamically Track Epidemic Trends and Undiagnosed COVID-19 Infections in Singapore: Longitudinal Observational Study |
| title_auth | Harnessing Participatory Surveillance Cohorts and Proxy Indicators to Dynamically Track Epidemic Trends and Undiagnosed COVID-19 Infections in Singapore: Longitudinal Observational Study |
| title_full | Harnessing Participatory Surveillance Cohorts and Proxy Indicators to Dynamically Track Epidemic Trends and Undiagnosed COVID-19 Infections in Singapore: Longitudinal Observational Study |
| title_fullStr | Harnessing Participatory Surveillance Cohorts and Proxy Indicators to Dynamically Track Epidemic Trends and Undiagnosed COVID-19 Infections in Singapore: Longitudinal Observational Study |
| title_full_unstemmed | Harnessing Participatory Surveillance Cohorts and Proxy Indicators to Dynamically Track Epidemic Trends and Undiagnosed COVID-19 Infections in Singapore: Longitudinal Observational Study |
| title_short | Harnessing Participatory Surveillance Cohorts and Proxy Indicators to Dynamically Track Epidemic Trends and Undiagnosed COVID-19 Infections in Singapore: Longitudinal Observational Study |
| title_sort | harnessing participatory surveillance cohorts and proxy indicators to dynamically track epidemic trends and undiagnosed covid-19 infections in singapore: longitudinal observational study |
| topic | Internal Medicine General Internal Medicine |
| url | https://www.jmir.org/2026/1/e85608 |