(2020) concludes that the stringent lockdown policies of China helped in controlling the spread of coronavirus (COVID-19). The growth curve analysis performed by Lau et al. This stipulation was later enforced in most places of Hubei province. Furthermore, various countries have enforced restrictions on their citizen’s movement as social distancing has been found to be an effective preventive measure to arrest the escalation of infections.Ĭhina is the first country to impose restrictions on the movement of people, which was confined to Wuhan in the initial stages. It is made mandatory to the citizens who traveled to the affected countries. Considering asymptomatic cases, the concept of home quarantine has also emerged. Various nations started screening people entering their countries and quarantining those with flu symptoms in containment zones. Due to the lack of vaccine and antiviral treatment, it has created much pressure on health care systems. Fever, cough, and shortness of breath are some of the common symptoms observed in the majority of the infected persons. This strain is expected to continue until the chain of transmission is terminated. Intensive care units across the globe are being overwhelmed with affected individuals. Meteorological parameters also influence the rate of transmission. (2020) discussed the origin, transmission, and characteristics of this pandemic. The World Health Organization (WHO) recognized it as a pandemic because of its footprint across the globe. The outbreak of COVID-19 was first identified in the Hubei province of China, which later spread to various parts of the globe. 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. A positive spearman rank correlation of 0.88 is noticed between LBI and the cumulative confirmed cases. The average LBI rise of 16.9% and 27.6% relative to L1.0 is observed at the end of 元.0 and L4.0, respectively. Since the beginning of third phase of lockdown 元.0, a significant rise in breaching activities is observed in every state considered for the analysis. 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. 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. Overall breaching activities are dominant in Bihar with LBI of 75.28. A significant breaching activity is observed during the first phase of lockdown, and the intensity increased in the third and fourth phases of lockdown. We considered fifteen states of India, where the spread of coronavirus is relatively dominant. Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) is modified to compute the LBI. A score of 0 indicates that civilians strictly adhered to the guidelines while a score of 100 points to complete violation. This index ranges between 0 and 100, which implies the extent of following the lockdown policies. It is evaluated using the community mobility reports. 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. The growth of COVID-19 cases in India is scaling high over the past weeks despite stringent lockdown policies.
0 Comments
Leave a Reply. |