Vector-borne diseases are responsible for over 17% of all known infectious diseases in the world and cause more than 700 000 deaths annually (WHO). The diseases have continued to constitute high social and economic burdens globally. Since the emergence of these vector-borne diseases, such as malaria, Zika virus fever, yellow fever, encephalitis, dengue, West Nile fever, and chikungunya fever, a number of intervention strategies has been implemented to curtail their spread. Mathematical model has been commonly used to understand diseases transmission dynamics and assess the impact of the implementation of intervention strategies to reduce the vector-borne disease incidence. Researchers have invested their time to study the dynamics of vector-borne disease transmission and the effects of intervention on disease transmission dynamics.
Various strategies to reduce the disease burden have been implemented. Several current strategies have been proposed such as the use of Wolbachia bacterium to fight against dengue and chikungunya and malaria vaccine Furthermore, a malaria vaccine has been licensed to be used to reduce the malaria incidence. Therefore understanding the effects of these numerous intervention strategies on vector-borne transmission dynamics is of utmost importance.
The aim of this Research Topic is to bring together original research and review articles discussing state-of-the-art mathematical models for vector-borne diseases. We welcome submissions focusing on mathematical models for analyzing the transmission dynamics of vector-borne diseases and their interventions. Potential topics include but not limited to the following:
- Mathematical models (stochastic, deterministic, fractional derivatives, etc..) to assess the vector-borne transmission dynamics in the absence and presence of controls.
- Optimal control problems and applications on vector-borne diseases.
- Cost-effectiveness and efficiency assessments of intervention strategies for controlling vector borne diseases.
- Numerical methods for mathematical models for vector-borne diseases.
- Effects of climate change on vector-borne diseases and the effectiveness of its intervention.
Vector-borne diseases are responsible for over 17% of all known infectious diseases in the world and cause more than 700 000 deaths annually (WHO). The diseases have continued to constitute high social and economic burdens globally. Since the emergence of these vector-borne diseases, such as malaria, Zika virus fever, yellow fever, encephalitis, dengue, West Nile fever, and chikungunya fever, a number of intervention strategies has been implemented to curtail their spread. Mathematical model has been commonly used to understand diseases transmission dynamics and assess the impact of the implementation of intervention strategies to reduce the vector-borne disease incidence. Researchers have invested their time to study the dynamics of vector-borne disease transmission and the effects of intervention on disease transmission dynamics.
Various strategies to reduce the disease burden have been implemented. Several current strategies have been proposed such as the use of Wolbachia bacterium to fight against dengue and chikungunya and malaria vaccine Furthermore, a malaria vaccine has been licensed to be used to reduce the malaria incidence. Therefore understanding the effects of these numerous intervention strategies on vector-borne transmission dynamics is of utmost importance.
The aim of this Research Topic is to bring together original research and review articles discussing state-of-the-art mathematical models for vector-borne diseases. We welcome submissions focusing on mathematical models for analyzing the transmission dynamics of vector-borne diseases and their interventions. Potential topics include but not limited to the following:
- Mathematical models (stochastic, deterministic, fractional derivatives, etc..) to assess the vector-borne transmission dynamics in the absence and presence of controls.
- Optimal control problems and applications on vector-borne diseases.
- Cost-effectiveness and efficiency assessments of intervention strategies for controlling vector borne diseases.
- Numerical methods for mathematical models for vector-borne diseases.
- Effects of climate change on vector-borne diseases and the effectiveness of its intervention.
