Management and control of infectious diseases is a challenging task. Effective and efficient intervention strategies are needed to prevent uncontrollable outbreaks. The successful elimination of an infectious disease does not entirely depend on the availability of medical infrastructures but also on the ability to comprehend the transmission of a disease and the application of control strategies together with proper implementation of logistic policies. Mathematical models provide both qualitative and quantitative insights on the patterns of epidemic outbreaks needed in detection, prevention, and construction of pertinent control measures.
The spread of infectious diseases is dependent on several aspects, including the infectious source or agent, susceptible reservoirs and modes of transmission. These factors influence model development describing disease dynamics. Thus, suitable models should be built, calibrated and adapted to a specific infectious disease. Correspondingly, appropriate control measures should be identified to curb the spread of the disease. In addition, modeling infectious diseases involves comprehension of complex biological factors. It facilitates collection and understanding of relevant epidemiological data (e.g., incidence, serological, mobility) and discussion among modelers, epidemiologists, health practitioners, and policy makers.
This Research Topic provides novel and innovative modeling approaches to infectious diseases including new, emerging, rare and neglected tropical diseases, with emphasis on their control strategies. Various modeling frameworks are encouraged and are not limited to continuous and discrete models, deterministic and stochastic models, statistical models, among others. Models validated utilizing real data which helped in policymaking are highly encouraged.
Management and control of infectious diseases is a challenging task. Effective and efficient intervention strategies are needed to prevent uncontrollable outbreaks. The successful elimination of an infectious disease does not entirely depend on the availability of medical infrastructures but also on the ability to comprehend the transmission of a disease and the application of control strategies together with proper implementation of logistic policies. Mathematical models provide both qualitative and quantitative insights on the patterns of epidemic outbreaks needed in detection, prevention, and construction of pertinent control measures.
The spread of infectious diseases is dependent on several aspects, including the infectious source or agent, susceptible reservoirs and modes of transmission. These factors influence model development describing disease dynamics. Thus, suitable models should be built, calibrated and adapted to a specific infectious disease. Correspondingly, appropriate control measures should be identified to curb the spread of the disease. In addition, modeling infectious diseases involves comprehension of complex biological factors. It facilitates collection and understanding of relevant epidemiological data (e.g., incidence, serological, mobility) and discussion among modelers, epidemiologists, health practitioners, and policy makers.
This Research Topic provides novel and innovative modeling approaches to infectious diseases including new, emerging, rare and neglected tropical diseases, with emphasis on their control strategies. Various modeling frameworks are encouraged and are not limited to continuous and discrete models, deterministic and stochastic models, statistical models, among others. Models validated utilizing real data which helped in policymaking are highly encouraged.
