Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing temporally dynamic location-based predictive data analysis. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform temporally dynamic location-based predictive data analysis by utilizing at least one of prevalence-based density modeling data objects, growth-based density modeling data objects, and environment-based density modeling data objects.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing temporally dynamic location-based predictive data analysis. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform temporally dynamic location-based predictive data analysis by using at least one of cohort generation machine learning models and cohort-based growth forecast machine learning models.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing temporally dynamic location-based predictive data analysis. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform temporally dynamic location-based predictive data analysis by utilizing at least one of prevalence-based density modeling data objects, growth-based density modeling data objects, and environment-based density modeling data objects.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive data analysis using cross-trend disease transmission detection. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform cross-trend disease transmission predictive data analysis by utilizing a predictive data analysis user interface configured to depict interactions between a case-based transmission rate trend user interface element, a superior domain death-based transmission rate trend user interface element, and an inferior domain death-based transmission rate user interface using case-based confidence interval user interface elements, superior domain death-based transmission rate user interface elements, and inferior domain death-based transmission rate user interface elements.