ArticleFrontiers in public health2022
Oscillatory properties of class C notifiable infectious diseases in China from 2009 to 2021.
Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed, 18 citations in OpenAlex.
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- 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
- Clinical value of macrogenome next-generation sequencing on infections.Open life sciences · 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
- Executive function elevated by long term high-intensity physical activity and the regulation role of beta-band activity in human frontal region.Cognitive neurodynamics · 2023Article
- Periodic Characteristics of Hepatitis Virus Infections From 2013 to 2020 and Their Association With Meteorological Factors in Guangdong, China: Surveillance Study.JMIR public health and surveillance · 2023Article
- Temporal dynamic characteristics of human monkeypox epidemic in 2022 around the world under the COVID-19 pandemic background.Frontiers in public health · 2023Article
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Authors and funding
17 authors at 13 institutions in 4 countries.
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No grant is acknowledged in the PubMed record.
Abstract
Background: Epidemics of infectious diseases have a great negative impact on people's daily life. How it changes over time and what kind of laws it obeys are important questions that researchers are always interested in. Among the characteristics of infectious diseases, the phenomenon of recrudescence is undoubtedly of great concern. Understanding the mechanisms of the outbreak cycle of infectious diseases could be conducive for public health policies to the government. Method: In this study, we collected time-series data for nine class C notifiable infectious diseases from 2009 to 2021 using public datasets from the National Health Commission of China. Oscillatory power of each infectious disease was captured using the method of the power spectrum analysis. Results: We found that all the nine class C diseases have strong oscillations, which could be divided into three categories according to their oscillatory frequencies each year. Then, we calculated the oscillation power and the average number of infected cases of all nine diseases in the first 6 years (2009-2015) and the next 6 years (2015-2021) since the update of the surveillance system. The change of oscillation power is positively correlated to the change in the number of infected cases. Moreover, the diseases that break out in summer are more selective than those in winter. Conclusion: Our results enable us to better understand the oscillation characteristics of class C infectious diseases and provide guidance and suggestions for the government's prevention and control policies.
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