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An integrated national mortality surveillance system for death registration and mortality surveillance, China
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In China, sample-based mortality surveillance systems, such as the Chinese Center for Disease Control and Prevention's disease surveillance points system and the Ministry of Health's vital registration system, have been used for decades to provide nationally representative data on health status for health-care decision-making and performance evaluation. However, neither system provided representative mortality and cause-of-death data at the provincial level to inform regional health service needs and policy priorities. Moreover, the systems overlapped to a considerable extent, thereby entailing a duplication of effort. In 2013, the Chinese Government combined these two systems into an integrated national mortality surveillance system to provide a provincially representative picture of total and cause-specific mortality and to accelerate the development of a comprehensive vital registration and mortality surveillance system for the whole country. This new system increased the surveillance population from 6 to 24% of the Chinese population. The number of surveillance points, each of which covered a district or county, increased from 161 to 605. To ensure representativeness at the provincial level, the 605 surveillance points were selected to cover China's 31 provinces using an iterative method involving multistage stratification that took into account the sociodemographic characteristics of the population. This paper describes the development and operation of the new national mortality surveillance system, which is expected to yield representative provincial estimates of mortality in China for the first time.
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Metadata
- Authors
- Liu, S., Wu, X., Lopez, A. D., Wang, L., Cai, Y., Page, A., Yin, P., Liu, Y., Li, Y., Liu, J., You, J., & Zhou, M.
- Affiliations
- Chinese Center For Disease Control and Prevention (CN)
- National Health and Family Planning Commission (CN)
- School of Population and Global Health, University of Melbourne, Melbourne, Australia.
- Western Sydney University (AU)
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 27 Nanwei Road, Xicheng District, Beijing, 100050, China.
- Corresponding author
- Zhou, Maigeng
- Venue
- Bulletin of the World Health Organization
- Publisher
- WHO Press
- Published
- 2015-10-28
- Volume
- 94
- Issue
- 1
- Pages
- 46-57
- ISSN
- 0042-9686 (ISSN-L)
- PMC
- PMC4709796
- OpenAlex
- W2417066833
- Cited by
- 395
- References
- 26
- Citations by year
- 2026: 41 · 2025: 50 · 2024: 63 · 2023: 55 · 2022: 47 · 2021: 42 · 2020: 35 · 2019: 26 · 2018: 22 · 2017: 8 · 2016: 6
- FWCI
- 30.46
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Bulletin of the World Health Organization (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Minerva Access (University of Melbourne) (submittedVersion, cc-by)
- Funders
- Centers for Disease Control and Prevention
- Topics
- Social Sciences › Demography › Insurance, Mortality, Demography, Risk Management
- Health Sciences › Medicine › Epidemiology › Healthcare Systems and Public Health
- Health Sciences › Medicine › Oncology › Global Cancer Incidence and Screening
- Keywords
- mortality surveillance, death registration, integrated surveillance systems, cause-specific mortality, civil registration, China
- MeSH terms
- Cause of Death, China, Death Certificates, Humans, Population Surveillance, International Classification of Diseases, History, 20th Century, History, 21st Century, Clinical Coding
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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