SynthesisPLoS neglected tropical diseases2017
Risk mapping of clonorchiasis in the People's Republic of China: A systematic review and Bayesian geostatistical analysis.
Synthesis in PLoS neglected tropical diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.
- Spatio-temporal disparities of Clonorchis sinensis infection in animal hosts in China: a systematic review and meta-analysis.Infectious diseases of poverty · 2023Pooled it
- Article
- Factors Contributing to the High Malignancy Level of Cholangiocarcinoma and Its Epidemiology: Literature Review and Data.Biology · 2025Review
- Investigation of the inhibitory effects of total flavonoids of litchi seed onFrontiers in cellular and infection microbiology · 2025Article
- Current knowledge on the prevalence and detection techniques ofFrontiers in veterinary science · 2025Review
- Liver Cancer Mortality Disparities at a Fine Scale Among Subpopulations in China: Nationwide Analysis of Spatial and Temporal Trends.JMIR public health and surveillance · 2024Article
- High-resolution mapping of age- and gender-specific risk of Clonorchis sinensis infection risk in Guangdong, China: a geostatistical modeling study.Parasites & vectors · 2024Article
- The spatial-temporal risk profiling ofThe Lancet regional health. Western Pacific · 2023Article
- Epidemiological characterization of Clonorchis sinensis infection in humans and freshwater fish in Guangxi, China.BMC infectious diseases · 2022Article
- Cholangiocarcinoma.Nature reviews. Disease primers · 2021Review
- Attributable deaths of liver cancer in China.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2021Article
- High-resolution age-specific mapping of the two-week illness prevalence rate based on the National Health Services Survey and geostatistical analysis: a case study in Guangdong province, China.International journal of health geographics · 2021Article
- High-resolution mapping of reproductive tract infections among women of childbearing age in Bangladesh: a spatial-temporal analysis of the demographic and health survey.BMC public health · 2021Article
- Risk Factors forFrontiers in public health · 2021Article
- Marked mitochondrial genetic variation in individuals and populations of the carcinogenic liver fluke Clonorchis sinensis.PLoS neglected tropical diseases · 2020Article
- Assessment of control strategies against Clonorchis sinensis infection based on a multi-group dynamic transmission model.PLoS neglected tropical diseases · 2020Article
- Human liver flukes in China and ASEAN: Time to fight together.PLoS neglected tropical diseases · 2019Article
- Molecular Identification and Phylogenetic Analysis of Nuclear rDNA Sequences ofFrontiers in microbiology · 2019Article
- China's shifting neglected parasitic infections in an era of economic reform, urbanization, disease control, and the Belt and Road Initiative.PLoS neglected tropical diseases · 2019Article
- Modeling the Transmission Dynamics of Clonorchiasis in Foshan, China.Scientific reports · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundClonorchiasis, one of the most important food-borne trematodiases, affects more than 12 million people in the People's Republic of China (P.R. China). Spatially explicit risk estimates of Clonorchis sinensis infection are needed in order to target control interventions. METHODOLOGY: Georeferenced survey data pertaining to infection prevalence of C. sinensis in P.R. China from 2000 onwards were obtained via a systematic review in PubMed, ISI Web of Science, Chinese National Knowledge Internet, and Wanfang Data from January 1, 2000 until January 10, 2016, with no restriction of language or study design. Additional disease data were provided by the National Institute of Parasitic Diseases, Chinese Center for Diseases Control and Prevention in Shanghai. Environmental and socioeconomic proxies were extracted from remote-sensing and other data sources. Bayesian variable selection was carried out to identify the most important predictors of C. sinensis risk. Geostatistical models were applied to quantify the association between infection risk and the predictors of the disease, and to predict the risk of infection across P.R. China at high spatial resolution (over a grid with grid cell size of 5×5 km). PRINCIPAL
findingsWe obtained clonorchiasis survey data at 633 unique locations in P.R. China. We observed that the risk of C. sinensis infection increased over time, particularly from 2005 onwards. We estimate that around 14.8 million (95% Bayesian credible interval 13.8-15.8 million) people in P.R. China were infected with C. sinensis in 2010. Highly endemic areas (≥ 20%) were concentrated in southern and northeastern parts of the country. The provinces with the highest risk of infection and the largest number of infected people were Guangdong, Guangxi, and Heilongjiang. CONCLUSIONS/SIGNIFICANCE: Our results provide spatially relevant information for guiding clonorchiasis control interventions in P.R. China. The trend toward higher risk of C. sinensis infection in the recent past urges the Chinese government to pay more attention to the public health importance of clonorchiasis and to target interventions to high-risk areas.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.