The Spatiotemporal Pattern and Its Determinants of Hemorrhagic Fever With Renal Syndrome in Northeastern China: Spatiotemporal Analysis

Journals

1. Gao Q, Wang S, Wang Q, Cao G, Fang C, Zhan B. Epidemiological characteristics and prediction model construction of hemorrhagic fever with renal syndrome in Quzhou City, China, 2005–2022. Frontiers in Public Health 2024;11 View
2. Shartova N, Korennoy F, Zelikhina S, Mironova V, Wang L, Malkhazova S. Spatial and temporal patterns of haemorrhagic fever with renal syndrome (HFRS) and the impact of environmental drivers in a border area of the Russian Far East. Zoonoses and Public Health 2024;71(5):489 View
3. Morris R, Wang S. Building a pathway to One Health surveillance and response in Asian countries. Science in One Health 2024;3:100067 View
4. Wang Y, Liang Z, Qing S, Xi Y, Xu C, Lin F. Asymmetric impact of climatic parameters on hemorrhagic fever with renal syndrome in Shandong using a nonlinear autoregressive distributed lag model. Scientific Reports 2024;14(1) View
5. Yun Z, Li P, Wang J, Lin F, Li W, Weng M, Zhang Y, Wu H, Li H, Cai X, Li X, Fu X, Wu T, Gao Y. Spatial-temporal analysis of hepatitis E in Hainan Province, China (2013-2022): insights from four major hospitals. Frontiers in Public Health 2024;12 View
6. Liu Y, Liu C, Wang L, Chen X, Qiao H, Zhang Y, Cai B, Xue R, Yi C. Investigating the impact of climatic and environmental factors on HFRS prevalence in Anhui Province, China, using satellite and reanalysis data. Frontiers in Public Health 2024;12 View
7. Li H, Yang R, Guan X, Huang X, Jiang H, Tan L, Xiong J, Peng M, Zhang T, Yao X, Beebe N. Spatiotemporal distribution and meteorological factors of hemorrhagic fever with renal syndrome in Hubei province. PLOS Neglected Tropical Diseases 2024;18(11):e0012498 View
8. Xu B, Yin Q, Ren D, Mo S, Ni T, Fu S, Zhang Z, Yan T, Zhao Y, Liu J, He Y. Scientometric analysis of research trends in hemorrhagic fever with renal syndrome: A historical review and network visualization. Journal of Infection and Public Health 2025;18(4):102647 View
9. Chang N, Huang W, Niu Y, Xu Z, Gao Y, Ye T, Wang Z, Wei X, Guo Y, Liu Q. Risk of hemorrhagic fever with renal syndrome associated with meteorological factors in diverse epidemic regions: a nationwide longitudinal study in China. Infectious Diseases of Poverty 2025;14(1) View
10. Zhao Q, Zhu Q, Huang J, Cui Y, Liu Y, Chen D, Jin X. Does a Time-Lagged Effect Exist Between Landscape Pattern Changes and Giant Panda Density?. Land 2025;14(5):1075 View
11. Lian Y, Li H, Yang L, Wang L, Gu L, Malkhazova S, Shartova N. Environmental Change and Hemorrhagic Fever with Renal Syndrome Transmission Risk on the China–Russia Border. EcoHealth 2025;22(3):346 View
12. Wang Y, Liang Y, Zhang B, Yi S, Zhou P, Lan X, Xue C, Li Y, Li X, Xu C. Forecasting tuberculosis epidemics using an autoregressive fractionally integrated moving average model: a 17-year time series analysis. Journal of Global Health 2025;15 View
13. Xu B, Mo S, Ren D, Ni T, Fu S, Zhang Z, Yan T, Wang Y, Zhao Y, Liu J, He Y. Correlating hemorrhagic fever with renal syndrome incidence and research publications in China: insights from epidemiological and bibliometric analysis. One Health Outlook 2025;7(1) View
14. Wei Q, Ren H, Lu L, Shi R. Non-negligible impacts of urbanization on spatiotemporal variations of infectious disease: a case study of hemorrhagic fever with renal syndrome epidemics in China. Infectious Diseases of Poverty 2025;14(1) View
15. Wang Y, Liang Y, Zhang B, Yi S, Zhou P, Lan X, Xue C, Li Y, Li X, Xu C. Forecasting tuberculosis epidemics using an autoregressive fractionally integrated moving average model: a 17-year time series analysis. Journal of Global Health 2025;15 View
16. Zhai H, Li S, Chen J, Ren Q, Li Y, Mu D, Zhang Y, Chen Q. Epidemiological Features and Spatial–Temporal Distribution of Hemorrhagic Fever With Renal Syndrome—China, 2004–2023. Zoonoses and Public Health 2025 View