1 COVID-19: An Opportunity for Smart and Sustainable …
21
Table 1.5 Impact of COVID-19 in the states of selected smart cities
S. No. State name
No. of smart
cities
Confirmed
cases (in
No.)
Active cases
(in No.)
Recovered
cases (in
No.)
Death
recorded (in
No.)
1
Tamil Nadu
11
151,820
47,343
102,310
2,167
2
Uttar Pradesh 10
41,383
14,628
25,743
1,012
3
Maharashtra
8
275,640
111,801
152,613
10,928
4
Karnataka
7
47,253
27,849
18,467
933
5
Madhya
Pradesh
7
19,643
5,053
13,908
682
6
Gujarat
6
44,648
11,222
31,346
2,080
7
Sub-Total
49
580,387
(59.82%) *
217,896
(65.81%) **
344,387
(59.34%) ##
17,802
(71.41%) #
8
Remaining
states & UTs
51
389,782
113,220
269,348
7,127
9
Total
100
970,169
331,116
613,735
24,929
Source Authors Calculation, data from [7]
Note 1. Percentage of Confirmed Case is marked with * ; 2. Percentage of Active Cases is marked
with ** ; 3. Average recovery rate of top 6 affected states is marked with ## ; 4. CFR is marked with
#
the authors. The district-level data has been collected and compared with the nationallevel data. In India, the total number of districts are 640 [5]. The 100 smart cities
have been distributed in the 97 districts (15%) of the nation. The share of COVID-19
confirmed cases in these 97 districts is around 52.65% (0.51 million). Moreover, out
of the total death (0.02 million) due to COVID-19, 54.18% (0.01 million) people
died in these 15% (97) districts of India. Additionally, the share of COVID-19 cases
registered in the districts of identified smart cities with the remaining districts of the
respective state is high in all aforesaid 6 states as compared to the remaining state
of India (Fig. 1.11). All these states are also having a high number of confirmed
COVID-19 cases in the state as well as in the respective districts of identified smart
cities. Hence, as per the analysis, it is observed that the impact of the COVID-19
pandemic is comparatively more in the states having more number of smart cities.
Also, the states with maximum number of smart cities are dynamic in nature,
i.e. Delhi (National Capital of the country), Maharashtra (Nashik: Wine Capital of
India; Pune: Queen of Deccan; Nagpur: Orange City; Thane: City of Lakes), Tamil
Nadu (Coimbatore: Manchester of South India; Chennai: Health Capital of India;
Madurai: Temple City; Tiruchirappalli: Rock Fort City; Tirunelveli: Oxford City
of South India), Uttar Pradesh (Agra: City of Taj; Allahabad: Abode of the God;
Kanpur: Leather City of the World; Lucknow: City of Nawabs; Varanasi: Religious
Capital of India), etc [24]. Thus, the vibrant function of cities has become a node
for the surrounding areas, which attracts the major part of the population from the
surrounding areas as well as neighbouring districts. In turn, the process leads to more
interaction and increases the overall population density of the cities and regions. As
21
Table 1.5 Impact of COVID-19 in the states of selected smart cities
S. No. State name
No. of smart
cities
Confirmed
cases (in
No.)
Active cases
(in No.)
Recovered
cases (in
No.)
Death
recorded (in
No.)
1
Tamil Nadu
11
151,820
47,343
102,310
2,167
2
Uttar Pradesh 10
41,383
14,628
25,743
1,012
3
Maharashtra
8
275,640
111,801
152,613
10,928
4
Karnataka
7
47,253
27,849
18,467
933
5
Madhya
Pradesh
7
19,643
5,053
13,908
682
6
Gujarat
6
44,648
11,222
31,346
2,080
7
Sub-Total
49
580,387
(59.82%) *
217,896
(65.81%) **
344,387
(59.34%) ##
17,802
(71.41%) #
8
Remaining
states & UTs
51
389,782
113,220
269,348
7,127
9
Total
100
970,169
331,116
613,735
24,929
Source Authors Calculation, data from [7]
Note 1. Percentage of Confirmed Case is marked with * ; 2. Percentage of Active Cases is marked
with ** ; 3. Average recovery rate of top 6 affected states is marked with ## ; 4. CFR is marked with
#
the authors. The district-level data has been collected and compared with the nationallevel data. In India, the total number of districts are 640 [5]. The 100 smart cities
have been distributed in the 97 districts (15%) of the nation. The share of COVID-19
confirmed cases in these 97 districts is around 52.65% (0.51 million). Moreover, out
of the total death (0.02 million) due to COVID-19, 54.18% (0.01 million) people
died in these 15% (97) districts of India. Additionally, the share of COVID-19 cases
registered in the districts of identified smart cities with the remaining districts of the
respective state is high in all aforesaid 6 states as compared to the remaining state
of India (Fig. 1.11). All these states are also having a high number of confirmed
COVID-19 cases in the state as well as in the respective districts of identified smart
cities. Hence, as per the analysis, it is observed that the impact of the COVID-19
pandemic is comparatively more in the states having more number of smart cities.
Also, the states with maximum number of smart cities are dynamic in nature,
i.e. Delhi (National Capital of the country), Maharashtra (Nashik: Wine Capital of
India; Pune: Queen of Deccan; Nagpur: Orange City; Thane: City of Lakes), Tamil
Nadu (Coimbatore: Manchester of South India; Chennai: Health Capital of India;
Madurai: Temple City; Tiruchirappalli: Rock Fort City; Tirunelveli: Oxford City
of South India), Uttar Pradesh (Agra: City of Taj; Allahabad: Abode of the God;
Kanpur: Leather City of the World; Lucknow: City of Nawabs; Varanasi: Religious
Capital of India), etc [24]. Thus, the vibrant function of cities has become a node
for the surrounding areas, which attracts the major part of the population from the
surrounding areas as well as neighbouring districts. In turn, the process leads to more
interaction and increases the overall population density of the cities and regions. As