Reconstructing the age-structured case count of COVID-19 from sentinel surveillance data in Japan: A modeling study

Our model quantified COVID-19 dynamics, comparably to universal reporting that ended in May 2023, enabling detailed and up-to-date health burden analysis using sentinel reports. The cumulative incidence was greater than that suggested from sentinel data in Tokyo, Nara, and Okinawa. Per-population burdens among children were particularly high in Osaka and Nara, indicating a strong bias in sentinel reporting toward pediatric cases.

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Publication Details

Journal
International Journal of Infectious Diseases
Published
2024-08-30
DOI
https://doi.org/10.1016/j.ijid.2024.107223
Citations
6
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
2.37

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article

Reconstructing the age-structured case count of COVID-19 from sentinel surveillance data in Japan: A modeling study

Hiroshi Nishiura, Minami Ueda, Yuta Okada
6 citations
International Journal of Infectious Diseases
COVID-19 epidemiological studies
2.37
article

Reconstructing the age-structured case count of COVID-19 from sentinel surveillance data in Japan: A modeling study

Hiroshi Nishiura, Minami Ueda, Yuta Okada
article en
6 citations

Abstract

Our model quantified COVID-19 dynamics, comparably to universal reporting that ended in May 2023, enabling detailed and up-to-date health burden analysis using sentinel reports. The cumulative incidence was greater than that suggested from sentinel data in Tokyo, Nara, and Okinawa. Per-population burdens among children were particularly high in Osaka and Nara, indicating a strong bias in sentinel reporting toward pediatric cases.

International Journal of Infectious DiseasesVol. 148
Kyoto University (JP)
Japan Agency for Medical Research and Development, Environmental Restoration and Conservation Agency, Kyoto University Foundation, Fujiwara Memorial Foundation, Ministry of Health, Labour and Welfare, Kyoto University Education and Research Foundation, Secom Science and Technology Foundation, Japan Society for the Promotion of Science, Japan Science and Technology Agency, Research Institute of Science and Technology for Society, Strategic International Collaborative Research Program
Gender equality
Openalex Percentile: Top 12%
COVID-19 epidemiological studies
2.37
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Reconstructing the age-structured case count of COVID-19 from sentinel surveillance data in Japan: A modeling study — Hiroshi Nishiura, Minami Ueda, et al. · International Journal of Infectious Diseases (2024) | TGRS Research Map | TGRS