A systematic review of spatial decision support systems in public health informatics supporting the identification of high risk areas for zoonotic disease outbreaks
Background Zoonotic diseases account for a substantial portion of infectious disease
outbreaks and burden on public health programs to maintain surveillance and preventative …
outbreaks and burden on public health programs to maintain surveillance and preventative …
Supporting covid-19 policy response with large-scale mobility-based modeling
Mobility restrictions have been a primary intervention for controlling the spread of COVID-19,
but they also place a significant economic burden on individuals and businesses. To …
but they also place a significant economic burden on individuals and businesses. To …
Scalable epidemiological workflows to support covid-19 planning and response
The COVID-19 global outbreak represents the most significant epidemic event since the
1918 influenza pandemic. Simulations have played a crucial role in supporting COVID-19 …
1918 influenza pandemic. Simulations have played a crucial role in supporting COVID-19 …
Computational Experiments in Computer Science Research: A Literature Survey
P Landeta-López, C Guevara-Vega - IEEE Access, 2024 - ieeexplore.ieee.org
Computational experiments have been important since the 70s to find solutions to problems
using computers, and even more now with the advancement of technology, especially …
using computers, and even more now with the advancement of technology, especially …
Time-series associations between public interest in COVID-19 variants and national vaccination rate: a Google Trends analysis
C Cheng - Behavioral Sciences, 2022 - mdpi.com
The emergence of a constantly mutating novel virus has led to considerable public anxiety
amid the COVID-19 pandemic. Information seeking is a common strategy to cope with …
amid the COVID-19 pandemic. Information seeking is a common strategy to cope with …
A visual modeling method for spatiotemporal and multidimensional features in epidemiological analysis: Applied COVID-19 aggregated datasets
The visual modeling method enables flexible interactions with rich graphical depictions of
data and supports the exploration of the complexities of epidemiological analysis. However …
data and supports the exploration of the complexities of epidemiological analysis. However …
Applying particle filtering in both aggregated and age-structured population compartmental models of pre-vaccination measles
Measles is a highly transmissible disease and is one of the leading causes of death among
young children under 5 globally. While the use of ongoing surveillance data and—recently …
young children under 5 globally. While the use of ongoing surveillance data and—recently …
Geospatial simulation steering for adaptive management
Spatio-temporal simulations are becoming essential tools for decision makers when
forecasting future conditions and evaluating effectiveness of alternative decision scenarios …
forecasting future conditions and evaluating effectiveness of alternative decision scenarios …
Applications of technological solutions in primary ways of preventing transmission of respiratory infectious diseases—A systematic literature review
GS Leite, AB Albuquerque, PR Pinheiro - International Journal of …, 2021 - mdpi.com
With the growing concern about the spread of new respiratory infectious diseases, several
studies involving the application of technology in the prevention of these diseases have …
studies involving the application of technology in the prevention of these diseases have …
Applying a Probabilistic Infection Model for studying contagion processes in contact networks
W Qian, S Bhowmick, M O'Neill… - Journal of …, 2021 - Elsevier
Modeling the spread of infectious diseases is central to the field of computational
epidemiology. Two prominent approaches to modeling the contagion process include (i) …
epidemiology. Two prominent approaches to modeling the contagion process include (i) …