Mathematical modeling and the transmission dynamics in predicting the Covid-19 - What next in combating the pandemic

Mathematical predictions in combating the epidemics are yet to reach its perfection. The rapid spread, the ways, and the procedures involved in containment of a pandemic demand the earliest understanding in finding solutions in line with the habitual, physiological, biological, and environmental asp...

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Main Author: A. Anirudh
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2020-01-01
Series:Infectious Disease Modelling
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S246804272030018X
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author A. Anirudh
author_facet A. Anirudh
author_sort A. Anirudh
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description Mathematical predictions in combating the epidemics are yet to reach its perfection. The rapid spread, the ways, and the procedures involved in containment of a pandemic demand the earliest understanding in finding solutions in line with the habitual, physiological, biological, and environmental aspects of life with better computerised mathematical modeling and predictions. Epidemiology models are key tools in public health management programs despite having a high level of uncertainty in each one of these models. This paper describes the outcome and the challenges of SIR, SEIR, SEIRU, SIRD, SLIAR, ARIMA, SIDARTHE, etc models used in prediction of spread, peak, and reduction of Covid-19 cases.
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spelling doaj.art-17a481597f79498f82886cb5440ea3da2024-04-16T14:17:42ZengKeAi Communications Co., Ltd.Infectious Disease Modelling2468-04272020-01-015366374Mathematical modeling and the transmission dynamics in predicting the Covid-19 - What next in combating the pandemicA. Anirudh0Birla Institute of Technology and Science Pilani, Hyderabad, Shameer Pet, Telangana, 500078, IndiaMathematical predictions in combating the epidemics are yet to reach its perfection. The rapid spread, the ways, and the procedures involved in containment of a pandemic demand the earliest understanding in finding solutions in line with the habitual, physiological, biological, and environmental aspects of life with better computerised mathematical modeling and predictions. Epidemiology models are key tools in public health management programs despite having a high level of uncertainty in each one of these models. This paper describes the outcome and the challenges of SIR, SEIR, SEIRU, SIRD, SLIAR, ARIMA, SIDARTHE, etc models used in prediction of spread, peak, and reduction of Covid-19 cases.http://www.sciencedirect.com/science/article/pii/S246804272030018XMathematical modelingEpidemicCovid-19PredictionChallenges
spellingShingle A. Anirudh
Mathematical modeling and the transmission dynamics in predicting the Covid-19 - What next in combating the pandemic
Infectious Disease Modelling
Mathematical modeling
Epidemic
Covid-19
Prediction
Challenges
title Mathematical modeling and the transmission dynamics in predicting the Covid-19 - What next in combating the pandemic
title_full Mathematical modeling and the transmission dynamics in predicting the Covid-19 - What next in combating the pandemic
title_fullStr Mathematical modeling and the transmission dynamics in predicting the Covid-19 - What next in combating the pandemic
title_full_unstemmed Mathematical modeling and the transmission dynamics in predicting the Covid-19 - What next in combating the pandemic
title_short Mathematical modeling and the transmission dynamics in predicting the Covid-19 - What next in combating the pandemic
title_sort mathematical modeling and the transmission dynamics in predicting the covid 19 what next in combating the pandemic
topic Mathematical modeling
Epidemic
Covid-19
Prediction
Challenges
url http://www.sciencedirect.com/science/article/pii/S246804272030018X
work_keys_str_mv AT aanirudh mathematicalmodelingandthetransmissiondynamicsinpredictingthecovid19whatnextincombatingthepandemic