A comprehensive review of the protein subunit vaccines against COVID-19
Two years after severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), in
December 2019, the first infections were identified in Wuhan city of China. SARS-CoV-2 …
December 2019, the first infections were identified in Wuhan city of China. SARS-CoV-2 …
Data analysis of Covid-19 pandemic and short-term cumulative case forecasting using machine learning time series methods
S Ballı - Chaos, Solitons & Fractals, 2021 - Elsevier
The Covid-19 pandemic is the most important health disaster that has surrounded the world
for the past eight months. There is no clear date yet on when it will end. As of 18 September …
for the past eight months. There is no clear date yet on when it will end. As of 18 September …
Forecasting seasonal electricity generation in European countries under Covid-19-induced lockdown using fractional grey prediction models and machine learning …
Balances in the energy sector have changed since the implementation of the Covid-19
pandemic lockdown in Europe. This paper analyses how the lockdown affected electricity …
pandemic lockdown in Europe. This paper analyses how the lockdown affected electricity …
Comparison of ARIMA model and XGBoost model for prediction of human brucellosis in mainland China: a time-series study
M Alim, GH Ye, P Guan, DS Huang, BS Zhou, W Wu - BMJ open, 2020 - bmjopen.bmj.com
Objectives Human brucellosis is a public health problem endangering health and property in
China. Predicting the trend and the seasonality of human brucellosis is of great significance …
China. Predicting the trend and the seasonality of human brucellosis is of great significance …
[HTML][HTML] Multi-step ahead meningitis case forecasting based on decomposition and multi-objective optimization methods
MHDM Ribeiro, VC Mariani… - Journal of Biomedical …, 2020 - Elsevier
Epidemiological time series forecasting plays an important role in health public systems, due
to its ability to allow managers to develop strategic planning to avoid possible epidemics. In …
to its ability to allow managers to develop strategic planning to avoid possible epidemics. In …
Research on the predictive effect of a combined model of ARIMA and neural networks on human brucellosis in Shanxi Province, China: a time series predictive …
M Zhai, W Li, P Tie, X Wang, T Xie, H Ren… - BMC Infectious …, 2021 - Springer
Background Brucellosis is a major public health problem that seriously affects developing
countries and could cause significant economic losses to the livestock industry and great …
countries and could cause significant economic losses to the livestock industry and great …
[HTML][HTML] Towards reliable forecasting of healthcare capacity needs: A scoping review and evidence mapping
S Grøntved, MJ Kirkeby, SP Johnsen, J Mainz… - International Journal of …, 2024 - Elsevier
Background The COVID-19 pandemic has highlighted the critical importance of robust
healthcare capacity planning and preparedness for emerging crises. However, healthcare …
healthcare capacity planning and preparedness for emerging crises. However, healthcare …
Identification of novel noninvasive diagnostics biomarkers in the Parkinson's diseases and improving the disease classification using support vector machine
Background. Parkinson's disease (PD) is a neurological disorder that is marked by the deficit
of neurons in the midbrain that changes motor and cognitive function. In the substantia nigra …
of neurons in the midbrain that changes motor and cognitive function. In the substantia nigra …
[HTML][HTML] An integration of intelligent approaches and economic criteria for predictive analytics of occupational accidents
Occupational accidents are a significant concern, resulting in human suffering, economic
crises, and social issues. Despite ongoing efforts to comprehend their causes and predict …
crises, and social issues. Despite ongoing efforts to comprehend their causes and predict …
Forecasting the monthly incidence rate of brucellosis in west of Iran using time series and data mining from 2010 to 2019
Background The identification of statistical models for the accurate forecast and timely
determination of the outbreak of infectious diseases is very important for the healthcare …
determination of the outbreak of infectious diseases is very important for the healthcare …