In this article, we propose a model (using a simple SIR model) for the analysis of the spread and control of COVID-19 pandemic in India after the subsequent lockdown(s) by taking into account the approach of partial measures, which, in fact, could be a mid-way approach between the two approaches of taking complete measures or no measures. Our supposition of partial measures (which put restrictions on the movements of some age groups) could be an effective protocol in controlling the spread of the coronavirus without hampering economic activities. The analysis has shown that there will be less number of infections after January 2021 by adopting partial measures. Overall, from the study, we have found some encouraging and significant results compared to the others in order to improve the economy of our country keeping the current pandemic in control.
ArtiM. K., & BhatnagarK. (2020). Modeling and predictions for COVID 19 spread in India. https://doi.org/10.13140/RG.2.2.11427.81444
2.
AtalanA. (2020). Is the lockdown important to prevent the COVID-19 pandemic? Effects on psychology, environment and economy-perspective. Annals of Medicine and Surgery, 56, 38–42. https://doi.org/10.1016/j.amsu.2020.06.010
3.
BhatnagarM. (2020). COVID-19: Mathematical modeling and predictions. https://doi.org/10.13140/RG.2.2.29541.96488
4.
BonalX., & GonzálezS. (2020). The impact of lockdown on the learning gap: Family and school divisions in times of crisis. International Review of Education, 66, 635–655. https://doi.org/10.1007/s11159-020-09860-z
ChatterjeeS., SarkarA., ChatterjeeS., KarmakarM., & PaulR. (2020). Studying the progress of COVID-19 outbreak in India using SIRD model. Indian Journal of Physics, 95(9), 1941–1957. https://doi.org/10.1007/s12648-020-01766-8
7.
COVID-19 India. (2020). https://www.covid19india.org/
8.
GhoshJ. (2020). A critique of the Indian government’s response to the COVID-19 pandemic. Journal of Industrial and Business Economics, 47, 519–530. https://doi.org/10.1007/s40812-020-00170-x
9.
GiordanoG., BlanchiniF., BrunoR., ColaneriP., FilippoA. D., MatteoA. D., & ColaneriM. (2020). Modelling the COVID-19 epidemic and implementation of population-wide interventions in Italy. Nature Medicine, 26, 855–860. https://doi.org/10.1038/s41591-020-0883-7
10.
GopalanH. S., & MisraA. (2020). COVID-19 pandemic and challenges for socio-economic issues, healthcare and National Health Programs in India. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(5), 757–759. https://doi.org/10.1016/j.dsx.2020.05.041
11.
GuptaR., & PalS. K. (2020). Trend analysis and forecasting of COVID-19 outbreak in India. medRxiv. https://doi.org/10.1101/2020.03.26.20044511
12.
HiremathP., Suhas KowshikC. S., ManjunathM., & ShettarM. (2020). COVID 19: Impact of lock-down on mental health and tips to overcome. Asian Journal of Psychiatry, 51, 102088. https://doi.org/10.1016/j.ajp.2020.102088
13.
KapasiaN., PaulP., RoyA., SahaJ., ZaveriA., MallickR., BarmanB., DasP., & ChouhanP. (2020). Impact of lockdown on learning status of undergraduate and postgraduate students during COVID-19 pandemic in West Bengal, India. Children and Youth Services Review, 116, 105194. https://doi.org/10.1016/j.childyouth.2020.105194
14.
KoziolK., StanislawskiR., & BialicG. (2020). Fractional-order SIR epidemic model for transmission prediction of COVID-19 disease. Applied Sciences, 10(23), 8316. https://doi.org/10.3390/app10238316
15.
KucharskiA. J., RussellT. W., DiamondC., LiuY., EdmundsJ., FunkS., & EggoR. M., & Centre for Mathematical Modelling of Infectious Diseases COVID-19 working group. (2020). Early dynamics of transmission and control of COVID-19: A mathematical modelling study. The Lancet Infectious Diseases, 20(5), 553–558. https://doi.org/10.1016/S1473-3099(20)30144-4
16.
NdaïrouF., AreaI., NietoJ. J., & TorresD. F. M. (2020). Mathematical modeling of COVID-19 transmission dynamics with a case study of Wuhan. Chaos, Solitons & Fractals, 135, 109846. https://doi.org/10.1016/j.chaos.2020.109846
17.
Parul. (2020). 14, 10 or 7 days? Doctors differ on ideal COVID recovery period. The Indian Express. https://indianexpress.com/article/cities/chandigarh/14-10-or-7-days-doctors-differ-on-ideal-covid-recovery-period-6584799/lite/
18.
RadhaM., & BalamuralitharanS. (2020). A study on COVID-19 transmission dynamics: Stability analysis of SEIR model with Hopf bifurcation for effect of time delay. Advances in Difference Equations, 2020(1), 523. https://doi.org/10.1186/s13662-020-02958-6
19.
SardarT., NadimS. S., RanaS., & ChattopadhyayJ. (2020). Assessment of lockdown effect in some states and overall India: A predictive mathematical study on COVID-19 outbreak. Chaos, Solitons & Fractals, 139, 110078. https://doi.org/10.1016/j.chaos.2020.110078
20.
SarkarK., KhajanchiS., & NietoJ. J. (2020). Modeling and forecasting the COVID-19 pandemic in India. Chaos, Solitons & Fractals, 139, 110049. https://doi.org/10.1016/j.chaos.2020.110049
21.
SinghR., & AdhikariR. (2020). Age-structured impact of social distancing on the COVID-19 epidemic in India. arXiv. http://arxiv.org/abs/2003.12055
22.
SinghS., RoyD., SinhaK., ParveenS., SharmaG., & JoshiG. (2020). Impact of COVID-19 and lockdown on mental health of children and adolescents: A narrative review with recommendations. Psychiatry Research, 293, 113429. https://doi.org/10.1016/j.psychres.2020.113429
23.
TiwariS., KumarS., & GuleriaK. (2020). Outbreak trends of coronavirus disease–2019 in India: A prediction. Disaster Medicine and Public Health Preparedness, 14(5), e33–e38. https://doi.org/10.1017/dmp.2020.115
24.
World Health Organisation (WHO). (2020). Rolling updates on coronavirus disease (COVID-19). https://www.who.int/emergencies/diseases/novel-coronavirus-2019/events-as-they-happen
