Statistical modeling for the prediction of infectious disease dissemination with special reference to COVID-19 spread

SK Yadav, Y Akhter - Frontiers in public health, 2021 - frontiersin.org
In this review, we have discussed the different statistical modeling and prediction techniques
for various infectious diseases including the recent pandemic of COVID-19. The distribution …

Cropland abandonment in China: Patterns, drivers, and implications for food security

A Guo, W Yue, J Yang, B Xue, W Xiao, M Li… - Journal of Cleaner …, 2023 - Elsevier
Grasping cropland abandonment patterns in China can help protect croplands, thereby
ensuring the perpetuation of nationwide food security. However, the pattern of long-term …

[HTML][HTML] State of the art in total pulse production in major states of India using ARIMA techniques

P Mishra, A Yonar, H Yonar, B Kumari… - Current Research in …, 2021 - Elsevier
Pulses are staple protein-rich food for Indian vegetarians, and India is one of the largest
producers in the world. The present investigation is an attempt to study the trend in the …

Comparison of ARIMA, ETS, NNAR, TBATS and hybrid models to forecast the second wave of COVID-19 hospitalizations in Italy

G Perone - The European Journal of Health Economics, 2021 - Springer
Abstract The coronavirus disease (COVID-19) is a severe, ongoing, novel pandemic that
emerged in Wuhan, China, in December 2019. As of January 21, 2021, the virus had …

ARIMA-based forecasting of the dynamics of confirmed Covid-19 cases for selected European countries

T Kufel - Equilibrium. Quarterly Journal of Economics and …, 2020 - ceeol.com
Research background: On 11 March 2020, the Covid-19 epidemic was identified by the
World Health Organization (WHO) as a global pandemic. The rapid increase in the scale of …

Forecasting the patterns of COVID-19 and causal impacts of lockdown in top five affected countries using Bayesian Structural Time Series Models

N Feroze - Chaos, solitons & fractals, 2020 - Elsevier
Background There are numerous studies dealing with analysis for the future patterns of
COVID-19 in different countries using conventional time series models. This study aims to …

Modeling and forecasting number of confirmed and death caused COVID-19 in IRAN: A comparison of time series forecasting methods

N Talkhi, NA Fatemi, Z Ataei, MJ Nooghabi - Biomedical signal processing …, 2021 - Elsevier
Background The COVID-19 pandemic conditions are still prevalent in Iran and other
countries and the monitoring system is gradually discovering new cases every day …

[HTML][HTML] Municipal waste management in the era of COVID-19: perceptions, practices, and potentials for research in developing countries

TDT Oyedotun, OF Kasim, A Famewo… - Research in …, 2020 - Elsevier
The novel COVID-19 pandemic has significantly impacted all facets of society globally. Often
overlooked is the potential contamination of the waste disposed by individuals diagnosed …

Modelling and forecasting of new cases, deaths and recover cases of COVID-19 by using Vector Autoregressive model in Pakistan

F Khan, A Saeed, S Ali - Chaos, solitons & fractals, 2020 - Elsevier
COVID-19 emerged in Wuhan, China in December 2019 has now spread around the world
causes damage to human life and economy. Pakistan is also severely effected by COVID-19 …

Modeling Nigerian Covid-19 cases: A comparative analysis of models and estimators

K Ayinde, AF Lukman, RI Rauf, OO Alabi… - Chaos, Solitons & …, 2020 - Elsevier
COVID-19 remains a major pandemic currently threatening all the countries of the world. In
Nigeria, there were 1, 932 COVID-19 confirmed cases, 319 discharged cases and 58 deaths …