A GPS Data-Based Index to Determine the Level of Adherence to COVID-19 Lockdown Policies in India

被引:1
作者
Puppala, Harish [1 ]
Bheemaraju, Amarnath [1 ]
Asthana, Rishi [1 ]
机构
[1] BML Munjal Univ, Sch Engn & Technol, Gurgaon 122413, Haryana, India
关键词
Pre-lockdown period; Post-lockdown period; Lockdown breaching index (LBI); Multi-criteria decision making technique; TOPSIS; COVID-19;
D O I
10.1007/s41666-020-00086-0
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The growth of COVID-19 cases in India is scaling high over the past weeks despite stringent lockdown policies. This study introduces a GPS-based tool, i.e., lockdown breaching index (LBI), which helps to determine the extent of breaching activities during the lockdown period. It is evaluated using the community mobility reports. This index ranges between 0 and 100, which implies the extent of following the lockdown policies. A score of 0 indicates that civilians strictly adhered to the guidelines while a score of 100 points to complete violation. Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) is modified to compute the LBI. We considered fifteen states of India, where the spread of coronavirus is relatively dominant. A significant breaching activity is observed during the first phase of lockdown, and the intensity increased in the third and fourth phases of lockdown. Overall breaching activities are dominant in Bihar with LBI of 75.28. At the same time, it is observed that the majority of the people in Delhi adhered to the lockdown policies strictly, as reflected with an LBI score of 47.05, which is the lowest. Though an average rise of 3% breaching activities during the second phase of lockdown (L2.0) with reference to the first phase of lockdown (L1.0) is noticed in all the states, a decreasing trend is noticed in Delhi and Tamil Nadu. Since the beginning of third phase of lockdown L3.0, a significant rise in breaching activities is observed in every state considered for the analysis. The average LBI rise of 16.9% and 27.6% relative to L1.0 is observed at the end of L3.0 and L4.0, respectively. A positive spearman rank correlation of 0.88 is noticed between LBI and the cumulative confirmed cases. This correlation serves as evidence and enlightens the fact that the breaching activities could be one of the possible reasons that contributed to the rise in COVID-19 cases throughout lockdown.
引用
收藏
页码:151 / 167
页数:17
相关论文
共 50 条
  • [31] Covid-19 lockdown governance in Uttar Pradesh, India: a call for equity?
    Kajal, Fnu
    Lall, Dorothy
    Chattu, Vijay Kumar
    Kumar, Sanjeev
    Yadav, Amita
    Agarwal, Smriti
    Garg, R. K.
    COGENT SOCIAL SCIENCES, 2024, 10 (01):
  • [32] How Does COVID-19 Lockdown Impact Air Quality in India?
    Hu, Zhiyuan
    Jin, Qinjian
    Ma, Yuanyuan
    Ji, Zhenming
    Zhu, Xian
    Dong, Wenjie
    REMOTE SENSING, 2022, 14 (08)
  • [33] Modelling and prediction of COVID-19 to measure the impact of lockdown on organisation in India
    Singh, Pushpa
    Agrawal, Rajeev
    INTERNATIONAL JOURNAL OF INDIAN CULTURE AND BUSINESS MANAGEMENT, 2022, 26 (02) : 259 - 275
  • [34] Lockdown is an effective 'vaccine' against COVID-19: A message from India
    Krishan, Kewal
    Kanchan, Tanuj
    JOURNAL OF INFECTION IN DEVELOPING COUNTRIES, 2020, 14 (06): : 545 - 546
  • [35] Diverse Experiences and Coping During the COVID-19 Lockdown and Unlock in India
    Meraj F.
    Makkar J.K.
    Trends in Psychology, 2024, 32 (3) : 946 - 985
  • [36] Impact of COVID-19 and associated lockdown on livestock and poultry sectors in India
    Biswal, Jyotsnarani
    Vijayalakshmy, Kennady
    Rahman, Habibar
    VETERINARY WORLD, 2020, 13 (09) : 1928 - 1933
  • [37] Psychological impact of COVID-19 lockdown: An online survey from India
    Grover, Sandeep
    Sahoo, Swapnajeet
    Mehra, Aseem
    Avasthi, Ajit
    Tripathi, Adarsh
    Subramanyan, Alka
    Pattojoshi, Amrit
    Rao, G. Prasad
    Saha, Gautam
    Mishra, K. K.
    Chakraborty, Kaustav
    Rao, Naren P.
    Vaishnav, Mrugesh
    Singh, Om Prakash
    Dalal, P. K.
    Chadda, Rakesh K.
    Gupta, Ravi
    Gautam, Shiv
    Sarkar, Siddharth
    Rao, T. S. Sathyanarayana
    Kumar, Vinay
    Reddy, Y. C. Janardran
    INDIAN JOURNAL OF PSYCHIATRY, 2020, 62 (04) : 354 - 362
  • [38] Impact of lockdown on air quality in India during COVID-19 pandemic
    Singh, Ramesh P.
    Chauhan, Akshansha
    AIR QUALITY ATMOSPHERE AND HEALTH, 2020, 13 (08) : 921 - 928
  • [39] Migrant crisis in India during COVID-19 lockdown: through photos
    Binoy, Rhea
    Mehendale, Sneha
    CARDIOMETRY, 2022, (23): : 344 - 349
  • [40] Evolution of Pollution Levels from COVID-19 Lockdown to Post-Lockdown over India
    Tyagi, Bhishma
    Vissa, Naresh Krishna
    Ghude, Sachin D.
    TOXICS, 2022, 10 (11)