Big Data and Artificial Intelligence in Policy Making: A Mini-Review Approach
The digitization era in public affairs is increasingly disrupting Indonesia. Governance in
Indonesia is forced to implement aspects of digitalization in its public services. Big data and …
Indonesia is forced to implement aspects of digitalization in its public services. Big data and …
An ensemble machine learning approach for time series forecasting of COVID-19 cases
Forecasting assists governments, epidemiologists, and policymakers make calculated
decisions to mitigate the spread of the COVID-19 pandemic, thus saving lives. This paper …
decisions to mitigate the spread of the COVID-19 pandemic, thus saving lives. This paper …
Deep spatiotemporal model for COVID-19 forecasting
M Muñoz-Organero, P Queipo-Álvarez - Sensors, 2022 - mdpi.com
COVID-19 has caused millions of infections and deaths over the last 2 years. Machine
learning models have been proposed as an alternative to conventional epidemiologic …
learning models have been proposed as an alternative to conventional epidemiologic …
Assessing the medical resources in COVID-19 based on evolutionary game
K Guo, Y Lu, Y Geng, J Lu, L Shi - PloS one, 2023 - journals.plos.org
COVID-19 has brought a great challenge to the medical system. A key scientific question is
how to make a balance between home quarantine and staying in the hospital. To this end …
how to make a balance between home quarantine and staying in the hospital. To this end …
A new RNN based machine learning model to forecast COVID-19 incidence, enhanced by the use of mobility data from the bike-sharing service in Madrid
As a respiratory virus, COVID-19 propagates based on human-to-human interactions with
positive COVID-19 cases. The temporal evolution of new COVID-19 infections depends on …
positive COVID-19 cases. The temporal evolution of new COVID-19 infections depends on …
[HTML][HTML] Area-level geographic and socioeconomic factors and the local incidence of SARS-CoV-2 infections in Queensland between 2020 and 2022
Objective Calculate the incidence of SARS-CoV-2 (COVID-19) infection notifications and the
influence of area-level geographic and socioeconomic factors in Queensland using real …
influence of area-level geographic and socioeconomic factors in Queensland using real …
Data-Driven Models Informed by Spatiotemporal Mobility Patterns for Understanding Infectious Disease Dynamics
Data-driven approaches predict infectious disease dynamics by considering various factors
that influence severity and transmission rates. However, these factors may not fully capture …
that influence severity and transmission rates. However, these factors may not fully capture …
Modeling the COVID-19 epidemic with multi-population and control strategies in the United States
D Sun, X Long, J Liu - Frontiers in Public Health, 2022 - frontiersin.org
As of January 19, 2021, the cumulative number of people infected with coronavirus disease-
2019 (COVID-19) in the United States has reached 24,433,486, and the number is still …
2019 (COVID-19) in the United States has reached 24,433,486, and the number is still …
The epidemic forest reveals the spatial pattern of the spread of acute respiratory infections in Jakarta, Indonesia
Acute respiratory infection (ARI) is a communicable disease of the respiratory tract that
implies impaired breathing. The infection can expand from one to the neighboring areas at a …
implies impaired breathing. The infection can expand from one to the neighboring areas at a …
Analysis of COVID-19 spread in Tokyo through an agent-based model with data assimilation
C Sun, S Richard, T Miyoshi, N Tsuzu - Journal of Clinical Medicine, 2022 - mdpi.com
In this paper, we introduce an agent-based model together with a particle filter approach to
study the spread of COVID-19. Investigations are mainly performed on the metropolis of …
study the spread of COVID-19. Investigations are mainly performed on the metropolis of …