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Modelling and Analyzing Virus Mutation Dynamics of Chikungunya Outbreaks
Xiaomei Feng1,2, Xi Huo3, Biao Tang4
1School of mathematics and information sciences, Shaanxi Normal University, Xi'an, 710062, People's Republic of China.
Scientific Reports
|March 1, 2019
Summary
Virus mutation dynamics significantly impact chikungunya virus (CHIKV) spread. Mathematical modeling reveals that high mutation rates and transmission probabilities can sustain chikungunya fever outbreaks, emphasizing the need for further research.
Area of Science:
- Epidemiology
- Mathematical Biology
- Virology
Background:
- Chikungunya virus (CHIKV) poses a global health threat, with recent outbreaks linked to a new variant.
- The role of CHIKV mutation dynamics in disease spread remains unclear.
Purpose of the Study:
- To develop a mathematical model incorporating CHIKV mutation dynamics in transmission.
- To assess the impact of virus mutation on chikungunya fever outbreaks.
Main Methods:
- Mathematical modeling of CHIKV transmission with virus mutation dynamics.
- Numerical simulations to explore outbreak scenarios.
- Markov Chain Monte Carlo sampling to fit the model to 2007 Italy outbreak data.
Main Results:
- High CHIKV mutation rates and transmission probabilities can lead to sustainable outbreaks.
- The basic reproduction number (R0) may be underestimated without considering mutation dynamics.
- Estimated R0 for the 2007 Italy outbreak was 2.035.
Conclusions:
- Virus mutation dynamics play a crucial role in CHIKV transmission.
- Transmission rate of mutant strains from mosquitoes to humans is a key factor.
- Further understanding of CHIKV mutation mechanisms is essential.
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