Spatial‐temporal dynamics and time series prediction of HFRS in mainland China: A long‐term retrospective study-Reference-Cited by-同舟云学术

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Spatial‐temporal dynamics and time series prediction of HFRS in mainland China: A long‐term retrospective study

Published:2022-11-12 Issue:1 Volume:95 Page:
ISSN:0146-6615
Container-title:Journal of Medical Virology
language:en
Short-container-title:Journal of Medical Virology

Author:

He Junyu¹²,Wang Yanding³⁴,Wei Xianyu⁴⁵,Sun Hailong⁴,Xu Yuanyong⁴,Yin Wenwu⁶,Wang Yong³⁴⁵^ORCID,Zhang Wenyi³⁴⁵

Affiliation:

1. Ocean College Zhejiang University Zhoushan China

2. Ocean Academy Zhejiang University Zhoushan China

3. Department of Epidemiology and Biostatistics, School of Public Health China Medical University Shenyang China

4. Chinese PLA Center for Disease Control and Prevention Beijing China

5. Department of Epidemiology and Biostatistics, School of Public Health Anhui Medical University Hefei China

6. Chinese Center for Disease Control and Prevention Beijing China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Infectious Diseases,Virology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jmv.28269

Reference53 articles.

1. Mapping the epidemic changes and risks of hemorrhagic fever with renal syndrome in Shaanxi Province, China, 2005–2016

2. Animal Reservoir, Natural and Socioeconomic Variations and the Transmission of Hemorrhagic Fever with Renal Syndrome in Chenzhou, China, 2006–2010

3. A Space-Time Study of Hemorrhagic Fever with Renal Syndrome (HFRS) and Its Climatic Associations in Heilongjiang Province, China

4. The Impacts of Climatic Factors and Vegetation on Hemorrhagic Fever with Renal Syndrome Transmission in China: A Study of 109 Counties

5. Probabilistic logic analysis of the highly heterogeneous spatiotemporal HFRS incidence distribution in Heilongjiang province (China) during 2005-2013

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1. Spatial-temporal patterns and influencing factors for hemorrhagic fever with renal syndrome: A 16-year national surveillance analysis in China;One Health;2024-06

2. Asymmetric impact of climatic parameters on hemorrhagic fever with renal syndrome in Shandong using a nonlinear autoregressive distributed lag model;Scientific Reports;2024-04-28

3. Application of an ARFIMA Model to Estimate Hepatitis C Epidemics in Henan, China;The American Journal of Tropical Medicine and Hygiene;2024-02-07

4. Spatiotemporal trends of hemorrhagic fever with renal syndrome (HFRS) in China under climate variation;Proceedings of the National Academy of Sciences;2024-01-16

5. Long‐ and Short‐Run Asymmetric Effects of Meteorological Parameters on Hemorrhagic Fever with Renal Syndrome in Heilongjiang: A Population‐Based Retrospective Study;Transboundary and Emerging Diseases;2024-01

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