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M. Fatewar and Vaishali
identity details of the citizens of the country. Level 5 comprises the ‘Restricted Data’.
It is the most sensitive data, which includes personal information besides the assets.
The data of critical infrastructure and national security is also stored at this level. The
data is accessible through a prescribed process, which is regulated by the respected
ministry or department of Central and State government, respectively. Therefore, the
breach of restricted data could prompt danger to life or a threat to national security.
The City Data Cell, State Level Data Analytics and Management Unit, and Data
Analytics and Management (DAM) Unit is proposed to monitor the process at city,
state, and national level [11]. The data, under all the five levels, can easily be shared
between the proposed 100 smart cities as well. All the non-personal information
shall be linked with the GIS, which will allow to run the real-time spatial-statistical
analysis by using digital technology.
1.7.2 Digital Model
To control the spread of an epidemic or pandemic, the best way is to stop the disease
at the initial stage. It is possible by identifying the patients and individuals, who got
infected. Therefore, a digital model is proposed by the authors, which can be used
in the future smart cities and smart regions, to stop the spread of the virus during the
initial stage. The working of the model is based on the digital system through the
integration of latest technology, i.e. ICT, IoT, ML, AI, which will provide real-time
information (Fig. 1.12). The medical report of a person is uploaded on a level 4
database. In the case of detection of any unknown infection or disease to the patient,
the patient will be examined and quarantine in order to stop the spread. After the
approval from the appropriate government, the level 5 information (such as travelling
history, location tracking record of the last one month, and other personal details)
can be checked out. Whereas, all the affected persons will be geo-tagged with the
help of level 3 information.
The digital model will help to record the health status and its associated side
effects, which might be visible after a certain period from the recovery. In a pandemic
situation, such as COVID-19, the healthcare infrastructure facilities data can easily
be extracted from the level 2 information. It will be useful to know the demand and
supply gap in the healthcare infrastructure facilities at the very initial stage by doing
real-time spatial-statistical analysis. However, only the non-personal data of patients
will be uploaded on the open-access portal for citizens of the country. So, the citizens
will be aware of the current pandemic scenario.
The information will be linked to the GIS for spatial-statistical analysis at the ward,
city, district, state, and national level. The model will provide the day-wise real-time
spatial-statistical analysis through AI. Therefore, the proposed digital model will be
a critical tool to control the transmission or spread of disease at the initial stage for
the future smart cities of India, which can be replicated under the same and different
geographical locations.
M. Fatewar and Vaishali
identity details of the citizens of the country. Level 5 comprises the ‘Restricted Data’.
It is the most sensitive data, which includes personal information besides the assets.
The data of critical infrastructure and national security is also stored at this level. The
data is accessible through a prescribed process, which is regulated by the respected
ministry or department of Central and State government, respectively. Therefore, the
breach of restricted data could prompt danger to life or a threat to national security.
The City Data Cell, State Level Data Analytics and Management Unit, and Data
Analytics and Management (DAM) Unit is proposed to monitor the process at city,
state, and national level [11]. The data, under all the five levels, can easily be shared
between the proposed 100 smart cities as well. All the non-personal information
shall be linked with the GIS, which will allow to run the real-time spatial-statistical
analysis by using digital technology.
1.7.2 Digital Model
To control the spread of an epidemic or pandemic, the best way is to stop the disease
at the initial stage. It is possible by identifying the patients and individuals, who got
infected. Therefore, a digital model is proposed by the authors, which can be used
in the future smart cities and smart regions, to stop the spread of the virus during the
initial stage. The working of the model is based on the digital system through the
integration of latest technology, i.e. ICT, IoT, ML, AI, which will provide real-time
information (Fig. 1.12). The medical report of a person is uploaded on a level 4
database. In the case of detection of any unknown infection or disease to the patient,
the patient will be examined and quarantine in order to stop the spread. After the
approval from the appropriate government, the level 5 information (such as travelling
history, location tracking record of the last one month, and other personal details)
can be checked out. Whereas, all the affected persons will be geo-tagged with the
help of level 3 information.
The digital model will help to record the health status and its associated side
effects, which might be visible after a certain period from the recovery. In a pandemic
situation, such as COVID-19, the healthcare infrastructure facilities data can easily
be extracted from the level 2 information. It will be useful to know the demand and
supply gap in the healthcare infrastructure facilities at the very initial stage by doing
real-time spatial-statistical analysis. However, only the non-personal data of patients
will be uploaded on the open-access portal for citizens of the country. So, the citizens
will be aware of the current pandemic scenario.
The information will be linked to the GIS for spatial-statistical analysis at the ward,
city, district, state, and national level. The model will provide the day-wise real-time
spatial-statistical analysis through AI. Therefore, the proposed digital model will be
a critical tool to control the transmission or spread of disease at the initial stage for
the future smart cities of India, which can be replicated under the same and different
geographical locations.