ArticleJMIR public health and surveillance2023
Periodic Characteristics of Hepatitis Virus Infections From 2013 to 2020 and Their Association With Meteorological Factors in Guangdong, China: Surveillance Study.
Article in JMIR public health and surveillance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 17 citations in OpenAlex.
- Spatiotemporal epidemiology of hepatocellular carcinoma and its association with environmental factors in Gansu province, 2013-2023.Population health metrics · 2026Article
- Distinct origins of human low and high alpha rhythms revealed by simultaneous EEG-SEEG.Communications biology · 2026Article
- A Bayesian spatially-clustered coefficient model with temporal structures for hepatitis A data in South Korea.Journal of applied statistics · 2026Article
- Distinct Mechanisms of Multiple Alpha-Band Activities in Frontal Regions Following an 8-Week Medium- (Yoga) and High-Intensity (Pamela) Exercise Intervention.CNS neuroscience & therapeutics · 2025Article
- Monitoring Sleep Quality Through Low α-Band Activity in the Prefrontal Cortex Using a Portable Electroencephalogram Device: Longitudinal Study.Journal of medical Internet research · 2025Article
- Neural Oscillations in the Somatosensory and Motor Cortex Distinguish Dexmedetomidine-Induced Anesthesia and Sleep in Rats.CNS neuroscience & therapeutics · 2025Article
- Shared oscillatory mechanisms of alpha-band activity in prefrontal regions in eyes open and closed state using a portable EEG acquisition device.Scientific reports · 2024Article
- Viral hepatitis in China during 2002-2021: epidemiology and influence factors through a country-level modeling study.BMC public health · 2024Article
- Temporal dynamic effects of meteorological factors and air quality on the physical health of the older adults in Shenzhen, China.Frontiers in public health · 2024Article
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Authors and funding
8 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn the past few decades, liver disease has gradually become one of the major causes of death and illness worldwide. Hepatitis is one of the most common liver diseases in China. There have been intermittent and epidemic outbreaks of hepatitis worldwide, with a tendency toward cyclical recurrences. This periodicity poses challenges to epidemic prevention and control.
objectiveIn this study, we aimed to investigate the relationship between the periodic characteristics of the hepatitis epidemic and local meteorological elements in Guangdong, China, which is a representative province with the largest population and gross domestic product in China.
methodsTime series data sets from January 2013 to December 2020 for 4 notifiable infectious diseases caused by hepatitis viruses (ie, hepatitis A, B, C, and E viruses) and monthly data of meteorological elements (ie, temperature, precipitation, and humidity) were used in this study. Power spectrum analysis was conducted on time series data, and correlation and regression analyses were performed to assess the relationship between the epidemics and meteorological elements.
resultsThe 4 hepatitis epidemics showed clear periodic phenomena in the 8-year data set in connection with meteorological elements. Based on the correlation analysis, temperature demonstrated the strongest correlation with hepatitis A, B, and C epidemics, while humidity was most significantly associated with the hepatitis E epidemic. Regression analysis revealed a positive and significant coefficient between temperature and hepatitis A, B, and C epidemics in Guangdong, while humidity had a strong and significant association with the hepatitis E epidemic, and its relationship with temperature was relatively weak.
conclusionsThese findings provide a better understanding of the mechanisms underlying different hepatitis epidemics and their connection to meteorological factors. This understanding can help guide local governments in predicting and preparing for future epidemics based on weather patterns and potentially aid in the development of effective prevention measures and policies.
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