Application of compound poisson model to estimate underreported risk of non-communicable diseases in underdeveloped areas

Liangshan Prefecture is experiencing a significant high prevalence of hypertension and diabetes, accompanied by a concerningly low registration rate. The CPM-CDQ proved useful for assessing underreporting risks and facilitating targeted interventions for NCDs control and prevention, particularly in underdeveloped areas.

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Publication Details

Journal
One Health
Published
2024-09-08
DOI
https://doi.org/10.1016/j.onehlt.2024.100889
Primary Topic
Global Public Health Policies and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
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article

Application of compound poisson model to estimate underreported risk of non-communicable diseases in underdeveloped areas

Xinyue Han, Hongli Wan, Jie Yu, Wenhui Zhu et al.
One Health
Global Public Health Policies and Epidemiology
article

Application of compound poisson model to estimate underreported risk of non-communicable diseases in underdeveloped areas

Xinyue Han, Hongli Wan, Jie Yu, Wenhui Zhu, Tao Zhang, Qiang Liao, Jingmin Yan
article en

Abstract

Liangshan Prefecture is experiencing a significant high prevalence of hypertension and diabetes, accompanied by a concerningly low registration rate. The CPM-CDQ proved useful for assessing underreporting risks and facilitating targeted interventions for NCDs control and prevention, particularly in underdeveloped areas.

One HealthVol. 19
Sichuan University (CN), West China Hospital of Sichuan University (CN), Sichuan Center for Disease Control and Prevention (CN)
Openalex Percentile: Top 79%
Global Public Health Policies and Epidemiology
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Application of compound poisson model to estimate underreported risk of non-communicable diseases in underdeveloped areas — Xinyue Han, Hongli Wan, et al. · One Health (2024) | TGRS Research Map | TGRS