The DOI matches its Crossref record; 25 of the 26 references it cites were found in a registry or an index.
An integrated national mortality surveillance system for death registration and mortality surveillance, China
Open accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Figures
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“312 million major surgeries are performed annually worldwide5”
From Chronic postsurgical pain: From risk factor identification to multidisciplinary management at the Toronto General Hospital Transitional Pain Service (2019) · cites this paper as [5]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Lozano, R., Naghavi, M., Foreman, K., Lim, S., Shibuya, K., Aboyans, V., Abraham, J., Adair, T., Aggarwal, R., Ahn, S. Y., et al. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61728-0 · Cited by 14,070
(1996) · Cited by 6,884
Lopez, A. D., Mathers, C. D., Ezzati, M., Jamison, D. T., & Murray, C. J. (2006) · The Lancet · doi:10.1016/s0140-6736(06)68770-9 · Cited by 5,630
Global Burden of Disease and Risk Factors
López, A. D., Mathers, C. D., Ezzati, M., Jamison, D. T. T., & Murray, C. J. L. (2006) · World Bank, Washington, DC eBooks · doi:10.1596/978-0-8213-6262-4 · Cited by 2,708
Rapid health transition in China, 1990–2010: findings from the Global Burden of Disease Study 2010
Yang, G., Wang, Y., Zeng, Y., Gao, G. F., Liang, X., Zhou, M., Wan, X., Yu, S., Jiang, Y., Naghavi, M., et al. (2013) · The Lancet · doi:10.1016/s0140-6736(13)61097-1 · Cited by 1,984
Self-citationChen, Y., Ebenstein, A. Y., Greenstone, M., & Li, H. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1300018110 · Cited by 1,819
Why Representativeness Should Be Avoided
Rothman, K. J., Gallacher, J. E., & Hatch, E. E. (2013) · International Journal of Epidemiology · doi:10.1093/ije/dys223 · Cited by 861
Wang, H., Dwyer-Lindgren, L., Lofgren, K. T., Rajaratnam, J. K., Marcus, J. R., Levin-Rector, A., Levitz, C. E., Lopez, A. D., & Murray, C. J. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61719-x · Cited by 810
Weighting for Unequal Selection Probabilities in Multilevel Models
Pfeffermann, D., Skinner, C. J., Holmes, D. J., Goldstein, H., & Rasbash, J. (1998) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/1467-9868.00106 · Cited by 438
Emergence and control of infectious diseases in China
Wang, L., Wang, Y., Jin, S., Wu, Z., Chin, D. P., Koplan, J. P., & Wilson, M. E. (2008) · The Lancet · doi:10.1016/s0140-6736(08)61365-3 · Cited by 390
Self-citationMortality registration and surveillance in China: History, current situation and challenges
Yang, G., Hu, J., Rao, K. Q., Ma, J., Rao, C., & López, A. D. (2005) · Population Health Metrics · doi:10.1186/1478-7954-3-3 · Cited by 341
Commentary: Representativeness is usually not necessary and often should be avoided
Richiardi, L., Pizzi, C., & Pearce, N. (2013) · International Journal of Epidemiology · doi:10.1093/ije/dyt103 · Cited by 214
Particulate air pollution and mortality in a cohort of Chinese men
Zhou, M., Liu, Y., Wang, L., Kuang, X., Xu, X., & Kan, H. (2013) · Environmental Pollution · doi:10.1016/j.envpol.2013.11.010 · Cited by 169
Self-citationUsing verbal autopsy to measure causes of death: the comparative performance of existing methods
Murray, C. J. L., Lozano, R., Flaxman, A. D., Serina, P. T., Phillips, D. E., Stewart, A., James, S. L., Vahdatpour, A., Atkinson, C., Freeman, M. K., et al. (2014) · BMC Medicine · doi:10.1186/1741-7015-12-5 · Cited by 167
Evaluating national cause-of-death statistics: principles and application to the case of China.
Rao, C., López, A. D., Yang, G., Begg, S. J., & Ma, J. (2005) · Europe PMC (PubMed Central) · Cited by 97
(1990) · PubMed · Cited by 92
Nohr, E. A., & Olsen, J. (2013) · International Journal of Epidemiology · doi:10.1093/ije/dyt102 · Cited by 75
Guo, K., Yin, P., Wang, L., Ji, Y., Li, Q., Bishai, D. M., Liu, S., Liu, Y., Astell‐Burt, T., Feng, X., et al. (2015) · Population Health Metrics · doi:10.1186/s12963-015-0051-3 · Cited by 60
Self-citationAdjustment and representativeness evaluation of national disease surveillance points system.
MaiGeng, Z., Jiang, Y., Huang, Z.-J., & Wu, F. (2010) · Jibing jiance · Cited by 56
[Analysis of under-reporting of mortality surveillance from 2006 to 2008 in China].
Wang, L. Q., Wang, L., Cai, Y., Ma, L., & Zhou, M. (2011) · PubMed · Cited by 40
Self-citationDesign options for sample-based mortality surveillance
Begg, S. J., Rao, C., & López, A. D. (2005) · International Journal of Epidemiology · doi:10.1093/ije/dyi101 · Cited by 37
Adjustment and representativeness evaluation of national disease surveillance points system
Fa, W. (2010) · Jibing jiance · Cited by 35
[Selection of DSP points in second stage and their presentation].
Yang, G. (1992) · PubMed · Cited by 27
Xu, G., Sui, X., Liu, S., Liu, J., Liu, J., Yichong, L., Huang, S., Wang, Z., & Blair, S. N. (2014) · PLoS ONE · doi:10.1371/journal.pone.0109826 · Cited by 10
Self-citation[Weighted estimation methods for multistage sampling survey data].
Hou, X., Wei, Y., & Chen, F. (2009) · PubMed · Cited by 1
Research works printed but not linked: 5
- 2012, Strengthening civil registration and vital statistics for births, deaths and causes of death: resource kit.
- 1992, International statistical classification of diseases and related health problems, 10th revision.
- Hu, 2012, Weighting method for Chinese chronic disease surveillance in 2010.], Zhongguo wei sheng tong ji., 29, 424
- 2013, Report of cause-of-death surveillance in China 2012.
- Rao, 2005, Evaluating national cause-of-death statistics: principles and application to the case of China., Bull World Health Organ, 83, 618
Cited by
Sorted by citations
Prevalence and Ethnic Pattern of Diabetes and Prediabetes in China in 2013
Wang, L., Gao, P., Zhang, M., Huang, Z., Zhang, D., Deng, Q., Yichong, L., Zhao, Z., Qin, X., Jin, D., et al. (2017) · JAMA · doi:10.1001/jama.2017.7596 · Cited by 1,841
Self-citationFine Particulate Air Pollution and Daily Mortality. A Nationwide Analysis in 272 Chinese Cities
Chen, R., Yin, P., Meng, X., Liu, C., Wang, L., Xu, X., Ross, J. A., Tse, L. A., Zhao, Z., Kan, H., et al. (2017) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201609-1862oc · Cited by 751
Self-citationBurden of Cardiovascular Diseases in China, 1990-2016
Liu, S., Yichong, L., Zeng, X., Wang, H., Yin, P., Wang, L., Liu, Y., Liu, J., Qi, J., Ran, S., et al. (2019) · JAMA Cardiology · doi:10.1001/jamacardio.2019.0295 · Cited by 720
Self-citationChen, R., Yin, P., Wang, L., Liu, C., Niu, Y., Wang, W., Jiang, Y., Liu, Y., Liu, J., Qi, J., et al. (2018) · BMJ · doi:10.1136/bmj.k4306 · Cited by 642
Self-citationQi, J., Li, M., Wang, L., Hu, Y., Liu, W. Y., Long, Z., Zhou, Z., Yin, P., & Zhou, M. (2023) · The Lancet Public Health · doi:10.1016/s2468-2667(23)00211-6 · Cited by 534
Self-citation
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
