A study on the appropriate use of topdown approachfor stepping up economic activities in districts ofdifferent States/Union Territories in India
Chakraborty, A.; Das, K.
Show abstract
At the beginning of phase 4.0 of lockdown, every State /Union Territories(UT) needs to take appropriate mitigation efforts (lockdown and testing) that may change red zones to orange and even to green zones by May 31, 2020. On the contrary, negligence in following the guidelines (for interventions) strictly, may be alarming and may change green zone status to even the worst red zone status. This has been established through a Statistical model based study here. From the present investigation, the Government can decide the right measures to take up so as to reduce the transmission of the virus and to open partial economic activities in different districts of a state. The whole idea can also be extended to containment zones in a district with sufficient data at hand.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Prediction of confirmed and death cases of Covid-19 in Chile through time series techniques: A comparative study 95%
- Generalized Linear Mixed Model Approach for Analyzing Water, Sanitation, and Hygiene Facilities in Bangladesh: Insights from BDHS 2022 Data 94%
- Population growth poses a significant threat to forest ecosystems: a case study from the Hindukush-Himalayas of Pakistan 94%
Similar papers in this journal
- Covid-19: analysis of a modified SEIR model, a comparison of different intervention strategies and projections for India 95%
- Estimating the parameters of SIR model of COVID-19 cases in India during lock down periods 95%
- A first study on the impact of containment measure on COVID-19 spread in Morocco 95%
Similar papers in this journal
- Determining the effects of preseasonal climate factors toward dengue early warning system in Bangladesh 94%
- Measuring the impact of nonpharmaceutical interventions on the SARS-CoV-2 pandemic at a city level: An agent-based computational modeling study of the City of Natal 93%
- Assessments of Effectiveness of Technologies Utilizations in VIHSCM Among Selected Health Facilities in Tanzania Mainland 93%
Similar papers in this journal
- Prediction of the Peak, Effect of Intervention and Total Infected by the CoronavirusDisease in India 92%
- Psychological Impact of COVID-19 on Pakistani University Students and How They Are Coping 91%
- Development of an index to assess Covid-19 hospital care installed capacity in the 450 Brazilian Health Regions 89%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.