Abstract
The current work focuses on incorporating Randomized Response Techniques in Adaptive Cluster Sampling scheme for effective quarantining of COVID-19 suspected individuals, given the sensitive nature of the disease and people’s tendency to hide their symptoms. Estimators have been proposed for estimating the number of individuals in a population showing symptoms of COVID-19, the number of individuals in a population not wearing a mask and the optimal size of a quarantine cluster. The effectiveness of the proposed sampling strategy has been demonstrated through empirical studies. Based on the encouraging result, the proposed sampling strategy may be recommended to survey statisticians for their use in the battle against COVID-19 or similar contagious diseases.
Funding Statement
We are thankful to the Department of Science and Technology, Science & Engineering Research Board (DST-SERB) for providing financial assistance under Grant EMR/2017/000882.
Acknowledgments
The authors would like to thank the anonymous reviewer for helping bring the manuscript to its current state with the helpful suggestions and comments.
Citation
G. N. Singh. D. Bhattacharyya. A. Bandyopadhyay. "Some estimation procedures for Covid-19 suspected persons in a locality using randomized response model." Braz. J. Probab. Stat. 38 (1) 74 - 87, March 2024. https://doi.org/10.1214/23-BJPS593
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