ArticleBMC infectious diseases2016
Prevalence of hemorrhagic fever with renal syndrome in Yiyuan County, China, 2005-2014.
Article in BMC infectious diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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22 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.
- Bleeding in haemorrhagic fever with renal syndrome: A systematic review characterising the loss of haemostasis in hantavirus infections.PLoS neglected tropical diseases · 2026Pooled it
- Data-Driven Machine Learning-Based Forecasting of Dengue in Bangladesh: Supporting Digital Health Approaches for Early Warning.Health science reports · 2026Article
- Time series analysis of dengue incidence and its association with meteorological risk factors in Bangladesh.PloS one · 2025Article
- Epidemiology of Hemorrhagic Fever with Renal Syndrome and Host Surveillance in Zhejiang Province, China, 1990-2021.Viruses · 2024Article
- Epidemiological characteristics and prediction model construction of hand, foot and mouth disease in Quzhou City, China, 2005-2023.Frontiers in public health · 2024Article
- Epidemiological characteristics and prediction model construction of hemorrhagic fever with renal syndrome in Quzhou City, China, 2005-2022.Frontiers in public health · 2023Article
- Trends and focuses of hantavirus researches: a global bibliometric analysis and visualization from 1980 to 2020.Archives of public health = Archives belges de sante publique · 2022Article
- Incidence of pulmonary tuberculosis under the regular COVID-19 epidemic prevention and control in China.BMC infectious diseases · 2022Article
- Application of the ARIMA Model in Forecasting the Incidence of Tuberculosis in Anhui During COVID-19 Pandemic from 2021 to 2022.Infection and drug resistance · 2022Article
- Accuracy comparison of ARIMA and XGBoost forecasting models in predicting the incidence of COVID-19 in Bangladesh.PLOS global public health · 2022Article
- Estimating the Long-Term Epidemiological Trends and Seasonality of Hemorrhagic Fever with Renal Syndrome in China.Infection and drug resistance · 2021Article
- Article
- Comparison of ARIMA model and XGBoost model for prediction of human brucellosis in mainland China: a time-series study.BMJ open · 2020Article
- Exploring the Dynamics of Hemorrhagic Fever with Renal Syndrome Incidence in East China Through Seasonal Autoregressive Integrated Moving Average Models.Infection and drug resistance · 2020Article
- Epidemiological and time series analysis of haemorrhagic fever with renal syndrome from 2004 to 2017 in Shandong Province, China.Scientific reports · 2019Article
- Analyzing hemorrhagic fever with renal syndrome in Hubei Province, China: a space-time cube-based approach.The Journal of international medical research · 2019Article
- The characteristics of current natural foci of hemorrhagic fever with renal syndrome in Shandong Province, China, 2012-2015.PLoS neglected tropical diseases · 2019Article
- Forecasting the seasonality and trend of pulmonary tuberculosis in Jiangsu Province of China using advanced statistical time-series analyses.Infection and drug resistance · 2019Article
- Application of a hybrid model in predicting the incidence of tuberculosis in a Chinese population.Infection and drug resistance · 2019Article
- Spatial-temporal characteristics and the epidemiology of haemorrhagic fever with renal syndrome from 2007 to 2016 in Zhejiang Province, China.Scientific reports · 2018Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHemorrhagic fever with renal syndrome (HFRS) is highly endemic in mainland China, where human cases account for 90 % of the total global cases. Yiyuan County is one of the most serious affected areas in China. Therefore, there is an urgent need for monitoring and predicting HFRS incidence in Yiyuan to make the control of HFRS more effective.
methodsThe study was based on the reported cases of HFRS from the National Notifiable Disease Surveillance System. The demographic and spatial distributions of HFRS in Yiyuan were established. Then we fit autoregressive integrated moving average (ARIMA) models and predict the HFRS epidemic trend.
resultsThere were 362 cases reported in Yiyuan during the 10-year study period. The human infections in the fall and winter reflected a seasonal characteristic pattern of Hantaan virus (HTNV) transmission. The best model was ARIMA (2, 1, 1) × (0, 1, 1)12 (AIC value 516.86) with a high validity.
conclusionThe ARIMA model fits the fluctuations in HFRS frequency and it can be used for future forecasting when applied to HFRS prevention and control.
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