Mechanism of recurrent outbreak of the scarlet fever epidemics in mainland China
Sun, M.; Li, M.; Haihambo, N.; Zhang, H.; Zhang, Z.; Zhao, X.; Wang, B.; Guo, M.; Han, C.
Show abstract
In mainland China, most infectious diseases occur once a year, except for scarlet fever, which has been steadily breaking out twice a year in recent years. Over the years, the recurrence of scarlet fever, a contagious disease characterized by a distinctive red rash, has been a focus of attention. However, the oscillatory mechanism of scarlet fever remains unclear. This study aimed to uncover how meteorological factors contribute to the recrudescence of scarlet fever in mainland China. The study used a longitudinal public dataset covering 31 provinces in mainland China, containing 14 years of monthly scarlet fever infections, along with available local meteorological data. Power spectrum analysis was conducted on time series data, and correlation analyses were performed to assess the relationship between the oscillatory nature of epidemics and meteorological factors. We found that the scarlet fever epidemics generally occur twice a year in various provinces of China, and the timing of these outbreaks peaks progressively from southern to northern regions. Furthermore, we established an atlas that shows the relationship between scarlet fever oscillation and meteorological factors. Our findings indicated a significant correlation between the oscillation characteristics of scarlet fever in 50% of provinces and each natural meteorological factor. Our study presents a detailed description of the temporal and spatial changes in the oscillatory characteristics of scarlet fever for the first time and explores the oscillatory characteristics of natural meteorological conditions and their correlation with the number of scarlet fever infections. These findings could serve as a valuable guide for government prevention and control measures for the scarlet fever epidemic.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Trends and Cross-Country Inequalities in Dengue, 1990-2021 94%
- Time series cross-correlation between home range and number of infected people during the medium-term of the COVID-19 pandemic in a suburban city 93%
- Interdependence between confirmed and discarded cases of dengue, chikungunya and Zika viruses in Brazil: A multivariate time-series analysis 93%
Similar papers in this journal
- The impact of temperature on the transmission potential and virulence of COVID-19 in Tokyo, Japan 94%
- A retrospective analysis of the dynamic transmission routes of the COVID-19 in mainland China 93%
- Correlations between individual factors, meteorological factors, and hemorrhagic fever with renal syndrome in the Tai'an area of China 92%
Similar papers in this journal
- A bioinformatics approach to systematically analyze the molecular patterns of monkeypox virus-host cell interactions 92%
- Power spectra density and similarity analysis of COVID-19 mortality waves across countries 92%
- Modeling of leptospirosis outbreaks in relation to hydroclimatic variables in the northeast of Argentina 91%
Similar papers in this journal
- Measuring the impact of nonpharmaceutical interventions on the SARS-CoV-2 pandemic at a city level: An agent-based computational modeling study of the City of Natal 92%
- Determining the effects of preseasonal climate factors toward dengue early warning system in Bangladesh 91%
- Epidemiological and phylogenetic analyses of public SARS-CoV-2 data from Malawi 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.