ArticleChaos, solitons, and fractals2020
Investigating the dynamics of COVID-19 pandemic in India under lockdown.
Article in Chaos, solitons, and fractals, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
27 citing papers in PubMed, 93 citations in OpenAlex.
- The challenges of frontline health managers during the COVID-19 pandemic in India: A framework analysis study.Journal of family medicine and primary care · 2024Article
- Monitoring COVID-19 Cases and Vaccination in Indian States and Union Territories Using Unsupervised Machine Learning Algorithm.Annals of data science · 2023Article
- A novel hybrid fuzzy time series model for prediction of COVID-19 infected cases and deaths in India.ISA transactions · 2022Article
- Mathematical analysis of a COVID-19 model with double dose vaccination in Bangladesh.Results in physics · 2022Article
- Sensitivity theorems of a model of multiple imperfect vaccines for COVID-19.Chaos, solitons, and fractals · 2022Article
- Transmission dynamics model and the coronavirus disease 2019 epidemic: applications and challenges.Medical review (2021) · 2022Review
- COVID-19 dynamics in Madrid (Spain): A new convolutional model to find out the missing information during the first three waves.PloS one · 2022Article
- A mathematical model to study the COVID-19 pandemic in India.Modeling earth systems and environment · 2022Article
- Drivers of air pollution variability during second wave of COVID-19 in Delhi, India.Urban climate · 2022Article
- Revisiting air quality during lockdown persuaded by second surge of COVID-19 of megacity Delhi, India.Urban climate · 2022Article
- Dynamical analysis of the infection status in diverse communities due to COVID-19 using a modified SIR model.Nonlinear dynamics · 2022Article
- Prediction of COVID-19 using long short-term memory by integrating principal component analysis and clustering techniques.Informatics in medicine unlocked · 2022Article
- Modeling the Transmission Dynamics of COVID-19 Among Five High Burden African Countries.Clinical epidemiology · 2022Article
- Article
- A model based on cellular automata for investigating the impact of lockdown, migration and vaccination on COVID-19 dynamics.Computer methods and programs in biomedicine · 2021Article
- Emergency preparedness for public health threats, surveillance, modelling & forecasting.The Indian journal of medical research · 2021Review
- Sen's Innovative Method for Trend Analysis of Epidemic: A Case Study of Covid-19 Pandemic in India.Transactions of the Indian National Academy of Engineering : an international journal of engineering and technology · 2021Article
- Performance Evaluation of Soft Computing Approaches for Forecasting COVID-19 Pandemic Cases.SN computer science · 2021Article
- The second and third waves in India: when will the pandemic be culminated?European physical journal plus · 2021Article
- COVID-19 pandemic lockdown: effects on the air quality of South Asia.Environmental sustainability (Singapore) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this paper, we investigate the ongoing dynamics of COVID-19 in India after its emergence in Wuhan, China in December 2019. We discuss the effect of nationwide lockdown implemented in India on March 25, 2020 to prevent the spread of COVID-19. Susceptible-Exposed-Infectious-Recovered (SEIR) model is used to forecast active COVID-19 cases in India considering the effect of nationwide lockdown and possible inflation in the active cases after its removal on May 3, 2020. Our model predicts that with the ongoing lockdown, the peak of active infected cases around 43,000 will occur in the mid of May, 2020. We also predict a 7 to 21% increase in the peak value of active infected cases for a variety of hypothetical scenarios reflecting a relative relaxation in the control strategies implemented by the government in the post-lockdown period. For India, it is an important decision to come up with a non-pharmaceutical control strategy such as nationwide lockdown for 40 days to prolong the higher phases of COVID-19 and to avoid severe load on its public health-care system. As the ongoing COVID-19 outbreak remains a global threat, it is a challenge for all the countries to come up with effective public health and administrative strategies to battle against COVID-19 and sustain their economies.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.