About this Research Topic
Human behavior change is known to influence the transmission dynamics of infectious diseases. Moreover, undesirable behavioral attitudes and unhealthy lifestyle choices are fueling the burden of noncommunicable diseases. The perception of disease threats and stimuli from the health benefit have been considered as factors dictating the behavior of the host population during disease outbreaks. However, the lack of efficient techniques to objectively measure the level of behavioral changes, and the means to achieve them, makes it difficult to clearly implement these in disease control strategies. Availing the clear measurement of such data, as well as effectively incorporating behavioral data into mathematical models describing the dynamics of diseases, remains a challenge. Currently, most of existing control programmes are supported by mathematical models based on objective measurement, with little, if any, concern for the human behavioral adaptations in affecting disease dynamics.
This Research Topic aims to investigate mathematical and data analytic techniques in measuring behavioral changes in human population and its impact on disease control programs for both communicable and noncommunicable diseases. The main goal of this research topic is to underline the progress made in the past and to pay particular attention to novel discoveries related to mathematical models and data analytic techniques in objectively measuring and incorporating behavioral change components in disease control strategies.
Topics of interest include, but are not limited to:
• Behavior dependent epidemiological models (deterministic or stochastic)
• Human behavior in disease control strategies
• Prediction of health behavior in disease dynamics
• Noncommunicable diseases and health belief models
• Data analytics and predictors for health-protective behavior
Contributions should emphasize model formulation and analysis or data analytic techniques in the investigation of the impact of behavioral modifications in disease control strategies. All submissions must include behavioral change in the host population and incorporate some form of disease control strategy.
This Research Topic aims to investigate mathematical and data analytic techniques in measuring behavioral changes in human population and its impact on disease control programs for both communicable and noncommunicable diseases. The main goal of this research topic is to underline the progress made in the past and to pay particular attention to novel discoveries related to mathematical models and data analytic techniques in objectively measuring and incorporating behavioral change components in disease control strategies.
Topics of interest include, but are not limited to:
• Behavior dependent epidemiological models (deterministic or stochastic)
• Human behavior in disease control strategies
• Prediction of health behavior in disease dynamics
• Noncommunicable diseases and health belief models
• Data analytics and predictors for health-protective behavior
Contributions should emphasize model formulation and analysis or data analytic techniques in the investigation of the impact of behavioral modifications in disease control strategies. All submissions must include behavioral change in the host population and incorporate some form of disease control strategy.
Keywords: Behavior change, disease transmission dynamics, disease control strategies, communicable diseases, non-communicable diseases
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
