Spatio-Temporal Predictive Modeling Techniques for Different Domains: a Survey
Spatio-temporal prediction tasks play a crucial role in facilitating informed decision-making
through anticipatory insights. By accurately predicting future outcomes, the ability to …
through anticipatory insights. By accurately predicting future outcomes, the ability to …
Forecasting a new type of virus spread: A case study of COVID-19 with stochastic parameters
V Zakharov, Y Balykina, I Ilin, A Tick - Mathematics, 2022 - mdpi.com
The consideration of infectious diseases from a mathematical point of view can reveal
possible options for epidemic control and fighting the spread of infection. However …
possible options for epidemic control and fighting the spread of infection. However …
[HTML][HTML] Soft computing techniques for forecasting of COVID-19 in Pakistan
Novel Pandemic COVID-19 led globally to severe health barriers and financial issues in
different parts of the world. The forecast on COVID-19 infections is significant. Demeanor …
different parts of the world. The forecast on COVID-19 infections is significant. Demeanor …
Using weather factors and google data to predict COVID-19 transmission in Melbourne, Australia: A time-series predictive model
H McClymont, X Si, W Hu - Heliyon, 2023 - cell.com
Background Forecast models have been essential in understanding COVID-19 transmission
and guiding public health responses throughout the pandemic. This study aims to assess …
and guiding public health responses throughout the pandemic. This study aims to assess …
Epidemiological Forecasting Models Using ARIMA, SARIMA, and Holt–Winter Multiplicative Approach for Pakistan
M Riaz, M Hussain Sial, S Sharif… - … of Environmental and …, 2023 - Wiley Online Library
Background of the Study. Statistical models have been extensively used in modeling and
forecasting the different fields of agriculture, economics, social sciences, and medical …
forecasting the different fields of agriculture, economics, social sciences, and medical …
Comparative analysis of machine learning approaches to analyze and predict the COVID-19 outbreak
Background Forecasting the time of forthcoming pandemic reduces the impact of diseases
by taking precautionary steps such as public health messaging and raising the …
by taking precautionary steps such as public health messaging and raising the …
Develo** forecasting model for future pandemic applications based on COVID-19 data 2020–2022
WIA Wan Mohamad Nawi, AA K. Abdul Hamid… - Plos one, 2023 - journals.plos.org
Improving forecasting particularly time series forecasting accuracy, efficiency and precisely
become crucial for the authorities to forecast, monitor, and prevent the COVID-19 cases so …
become crucial for the authorities to forecast, monitor, and prevent the COVID-19 cases so …
Implications of the COVID-19 pandemic on the shanghai, New York, and Pakistan stock exchanges
This research aims to determine the impact of COVID-19 on the stock markets of Pakistan
(Islamabad), China (Shanghai), and the United States of America (New York). These three …
(Islamabad), China (Shanghai), and the United States of America (New York). These three …
Machine learning approach for forecast analysis of novel COVID-19 scenarios in India
The novel coronavirus (nCOV) is a new strain that needs to be hindered from spreading by
taking effective preventive measures as swiftly as possible. Timely forecasting of COVID-19 …
taking effective preventive measures as swiftly as possible. Timely forecasting of COVID-19 …
Improvement of time forecasting models using machine learning for future pandemic applications based on COVID-19 data 2020–2022
AA K Abdul Hamid, WIA Wan Mohamad Nawi, MS Lola… - Diagnostics, 2023 - mdpi.com
Improving forecasts, particularly the accuracy, efficiency, and precision of time-series
forecasts, is becoming critical for authorities to predict, monitor, and prevent the spread of …
forecasts, is becoming critical for authorities to predict, monitor, and prevent the spread of …