COVID-19: data-driven dynamics, statistical and distributed delay models, and observations
Sign Up to like & getrecommendations! Published in 2020 at "Nonlinear Dynamics"
DOI: 10.1007/s11071-020-05863-5
Abstract: COVID-19 was declared as a pandemic by the World Health Organization on March 11, 2020. Here, the dynamics of this epidemic is studied by using a generalized logistic function model and extended compartmental models with… read more here.
Keywords: covid data; distributed delay; compartmental model; extended compartmental ... See more keywords
Time Series Analysis of COVID-19 Data to Study the Effect of Lockdown and Unlock in India
Sign Up to like & getrecommendations! Published in 2021 at "Journal of The Institution of Engineers (India): Series B"
DOI: 10.1007/s40031-021-00585-7
Abstract: The ongoing COVID-19 pandemic has caused worldwide socioeconomic unrest, forcing governments to introduce extreme measures to reduce its spread. Being able to accurately forecast the effect of unlocking in India would allow governments to alter… read more here.
Keywords: covid data; time series; effect; covid ... See more keywords
Non-Pharmaceutical Interventions as Controls to mitigate the spread of epidemics: An analysis using a spatiotemporal PDE model and COVID-19 data.
Sign Up to like & getrecommendations! Published in 2021 at "ISA transactions"
DOI: 10.1016/j.isatra.2021.02.038
Abstract: We investigate the spatiotemporal dynamics and control of an epidemic using a partial differential equation (PDE) based Susceptible-Latent-Infected-Recovered (SLIR) model. We first validate the model using empirical COVID-19 data corresponding to a period of 45… read more here.
Keywords: covid data; non pharmaceutical; model; pharmaceutical interventions ... See more keywords
Clustering of COVID-19 data for knowledge discovery using c-means and fuzzy c-means
Sign Up to like & getrecommendations! Published in 2021 at "Results in Physics"
DOI: 10.1016/j.rinp.2021.104639
Abstract: In this work, the partitioning clustering of COVID-19 data using c-Means (cM) and Fuzy c-Means (Fc-M) algorithms is carried out. Based on the data available from January 2020 with respect to location, i.e., longitude and… read more here.
Keywords: using means; covid data; data knowledge; clustering covid ... See more keywords
COVID-19 data reporting systems in Africa reveal insights for future pandemics
Sign Up to like & getrecommendations! Published in 2022 at "Epidemiology and Infection"
DOI: 10.1017/s0950268822001054
Abstract: Abstract Globally, countries have used diverse methods to report data during the COVID-19 pandemic. Using international guidelines and principles of emergency management, we compare national data reporting systems in African countries in order to determine… read more here.
Keywords: reporting systems; data reporting; systems africa; future pandemics ... See more keywords
Comparing and integrating US COVID-19 data from multiple sources with anomaly detection and repairing
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2021.1928016
Abstract: Over the past few months, the outbreak of Coronavirus disease (COVID-19) has been expanding over the world. A reliable and accurate dataset of the cases is vital for scientists to conduct related research and for… read more here.
Keywords: covid; comparing integrating; integrating covid; data multiple ... See more keywords
The COVID-19 Data Portal: accelerating SARS-CoV-2 and COVID-19 research through rapid open access data sharing
Sign Up to like & getrecommendations! Published in 2021 at "Nucleic Acids Research"
DOI: 10.1093/nar/gkab417
Abstract: Abstract The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic will be remembered as one of the defining events of the 21st century. The rapid global outbreak has had significant impacts on human society and… read more here.
Keywords: covid data; research; covid research; sars cov ... See more keywords
The Use of Triangular Norms in Epidemiological Models: A Comparative Study Using COVID-19 Data
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2022.3205357
Abstract: In this manuscript we use triangular norms to model contact between susceptible and infected individuals in the susceptible-infected-recovered (SIR) epidemiological model. In the classical SIR model, the encounter between susceptible and infected individuals is traditionally… read more here.
Keywords: triangular norms; susceptible infected; use triangular; sir model ... See more keywords
Pandemic Planning in the United States: An Examination of COVID ‐19 Data
Sign Up to like & getrecommendations! Published in 2020 at "Public Administration Review"
DOI: 10.1111/puar.13326
Abstract: In the early months of 2020, news spread that a coronavirus (COVID-19) had been detected in Wuhan, China The virus quickly spread across the country and to other continents As deaths mounted in the United… read more here.
Keywords: covid data; states examination; united states; examination covid ... See more keywords
Statistical Analysis of COVID-19 Data for Three Different Regions in the Kingdom of Saudi Arabia: Using a New Two-Parameter Statistical Model
Sign Up to like & getrecommendations! Published in 2022 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2022/2066787
Abstract: Since December 2019, the COVID-19 outbreak has touched every area of everyday life and caused immense destruction to the planet. More than 150 nations have been affected by the coronavirus outbreak. Many academics have attempted… read more here.
Keywords: two parameter; statistical model; model; parameter statistical ... See more keywords
Can we rely on COVID-19 data? An assessment of data from over 200 countries worldwide
Sign Up to like & getrecommendations! Published in 2021 at "Science Progress"
DOI: 10.1177/00368504211021232
Abstract: To fight COVID-19, global access to reliable data is vital. Given the rapid acceleration of new cases and the common sense of global urgency, COVID-19 is subject to thorough measurement on a country-by-country basis. The… read more here.
Keywords: covid data; law; rely covid; benford law ... See more keywords