ArticleInternational journal of environmental research and public health2021
Epidemiological Characteristics and Regional Risk Prediction of Hemorrhagic Fever with Renal Syndrome in Shandong Province, China.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Land-cover, land-use and human hantavirus infection risk: a systematic review.Pathogens and global health · 2024Pooled it
- Incidence rate of hemorrhagic fever with renal syndrome complicated with acute pancreatitis: a meta-analysis.Frontiers in medicine · 2024Pooled it
- Dual seasonal pattern for hemorrhagic fever with renal syndrome and its potential determinants in China.The Science of the total environment · 2023Pooled it
- Epidemiological characteristics and spatiotemporal heterogeneity of hemorrhagic fever with renal syndrome in the Jiaodong Peninsula region, China, 2019-2025.Frontiers in public health · 2026Article
- Analysis of factors influencing hemorrhagic fever with renal syndrome and its prediction in Weifang, China from 2013 to 2021.Osong public health and research perspectives · 2025Article
- Investigating risk factors of hemorrhagic fever of renal syndrome (HFRS) in Qingdao, Shandong province, China.PloS one · 2025Article
- Spatial-temporal patterns and influencing factors for hemorrhagic fever with renal syndrome: A 16-year national surveillance analysis in China.One health (Amsterdam, Netherlands) · 2024Article
- Spatial-temporal drivers and incidence heterogeneity of hemorrhagic fever with renal syndrome transmission in Shandong Province, China, 2016-2022.BMC public health · 2024Article
- Investigating the impact of climatic and environmental factors on HFRS prevalence in Anhui Province, China, using satellite and reanalysis data.Frontiers in public health · 2024Article
- Construction of a Hantaan Virus Phage Antibody Library and Screening for Potential Neutralizing Activity.Viruses · 2023Article
- Urbanization-Related Environmental Factors and Hemorrhagic Fever with Renal Syndrome: A Review Based on Studies Taken in China.International journal of environmental research and public health · 2023Review
- Exploring the Quantitative Assessment of Spatial Risk in Response to Major Epidemic Disasters in Megacities: A Case Study of Qingdao.International journal of environmental research and public health · 2023Article
- Epidemiological characteristics and prediction model construction of hemorrhagic fever with renal syndrome in Quzhou City, China, 2005-2022.Frontiers in public health · 2023Article
- Identification and characterization of codon usage pattern and influencing factors in HFRS-causing hantaviruses.Frontiers in immunology · 2023Article
- Assessing the Relationship between Climate Variables and Hemorrhagic Fever with Renal Syndrome Transmission in Eastern China: A Multi-Cities Time Series Study.Transboundary and emerging diseases · 2023Article
- Immunogenic Properties of MVs Containing Structural Hantaviral Proteins: An Original Study.Pharmaceutics · 2022Article
- Epidemic characteristics and transmission risk prediction of brucellosis in Xi'an city, Northwest China.Frontiers in public health · 2022Article
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Authors and funding
10 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundHemorrhagic fever with renal syndrome (HFRS), a rodent-borne disease caused by different species of hantaviruses, is widely endemic in China. Shandong Province is one of the most affected areas. This study aims to analyze the epidemiological characteristics of HFRS, and to predict the regional risk in Shandong Province.
methodsDescriptive statistics were used to elucidate the epidemiological characteristics of HFRS cases in Shandong Province from 2010 to 2018. Based on environmental and socioeconomic data, the boosted regression tree (BRT) model was applied to identify important influencing factors, as well as predict the infection risk zones of HFRS.
resultsA total of 11,432 HFRS cases were reported from 2010 to 2018 in Shandong, with groups aged 31-70 years (81.04%), and farmers (84.44%) being the majority. Most cases were from central and southeast Shandong. There were two incidence peak periods in April to June and October to December, respectively. According to the BRT model, we found that population density (a relative contribution of 15.90%), elevation (12.02%), grassland (11.06%), cultivated land (9.98%), rural settlement (9.25%), woodland (8.71%), and water body (8.63%) were relatively important influencing factors for HFRS epidemics, and the predicted high infection risk areas were concentrated in central and eastern areas of Shandong Province. The BRT model provided an overall prediction accuracy, with an area under the receiver operating characteristic curve of 0.91 (range: 0.83-0.95).
conclusionsHFRS in Shandong Province has shown seasonal and spatial clustering characteristics. Middle-aged and elderly farmers are a high-risk population. The BRT model has satisfactory predictive capability in stratifying the regional risk of HFRS at a county level in Shandong Province, which could serve as an important tool for risk assessment of HFRS to deploy prevention and control measures.
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