Options for Building Public Health Resilience within Smart Cities - Dr. Mahesh Rajasekar
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Transcript of Options for Building Public Health Resilience within Smart Cities - Dr. Mahesh Rajasekar
Options for Building Public Health Resilience within Smart Cities
Dr. Mahesh Rajasekar
26th November 2016
Taru Leading Edge
Smart City Summit Surat
Source: http://www.ugo.cn/photo/nn/en/48759.htm
Complexity of Urban Areas
Cost of healthPopulation of Surat
(Even if) ~0.01% people affected every year by dengue or malaria or chikungunya,
Days affected
Per day wage
Direct and Indirect Loss per year
This is a very conservative estimate. This figure is much higher in many of the Indian cities
Medicines and other social costs
Is it only the poor?
Source: http://www.jeweltreefoundation.org/diamonds.html
Vector & Water borne diseases impact beyond socio economic barriers. Even if certain segment of the population do get affect the impact will trickle down to city’s GDP
• Limited Volunteers
• Limited data especially spatio-temporal data
• Limited coordination between departments
• Limited penetration of the Information Technology
• Designs do not cater to Indian Administrative needs
• Data are not analyzed in time
• Possibility of Errors
• Much time is spent on report generation
• Data interoperability does not exist
• Translation of policy to action is still a challenge
• Very thin budget
Status of Health Monitoring in Indian Cities
Urb
an S
ervi
ce M
on
ito
rin
g Sy
stem
(U
rSM
S)
UrSMS: Data Interface
Urb
an S
ervi
ce M
on
ito
rin
g Sy
stem
(U
rSM
S)
UrSMS: Maps
Key Statistics : One YearNumber of
Reports from
Private clinics
Reports from
UHCs
Reports from
Public + Private
Hospital
Number of cases
(line listing)
Total number of
cases reported
January 8,540 1,010 945 3,342 55,318
February 7,676 1,204 882 3,322 53,889
March 7,939 1,011 762 3,186 46,739
April * * * * *
May 9,072 1,053 1,444 4,309 61,782
June 8,578 993 1,480 4,065 63,944
July 9,398 1,077 1,764 5,907 75,158
August 9,029 916 1,457 5,319 70,671
September 8,114 1,038 1,608 4,556 59,508
October 9,255 1,078 1,861 4,917 69,660
November 6,036 957 1,288 2,988 46,673
December 8,461 999 1,807 4,157 61,147
Total 92,098 11,336 15,298 46,068 664,489
Patient ANM Doctor Lab
P Form
UHC
L FormS FormX
7 to 15 Days
Report to National Program
Patient
Probability of Error High
FLOOD PRONE SLUMS & INCIDENCES OF MALARIA (INDORE)
Risks and Impacts
Visualization
Disease Surveillance SystemMonitoring
• Health
• Water logging
• Solid waste
• Other services
Covered over 500 slums during 2013 and 2014.
Urban Climate Change Resilience• Identify climate change hazard risks
which intend to threaten the city
• Identification of major challenges which city currently faces
• To identify the inter-relationship between risks and challenges
• To have informed discussion over risks, vulnerability and arrive at possible actions that could be undertaken by different institutions with respect to their ongoing and future developmental plans
ConclusionCollective action is needed across IOT’s and other smart solutions.
City solutions of the people (supported by the government) by the people (empowering people to be data providers) for the people (last mile connectivity)
Technology has never been a problem but integrated and coordinated functioning should take the center stage (across sectors)
Over two decades of unique consulting to bridge Science, Institutions and Society Interfacewww.taru.co.in Organization Email: [email protected], My Email: [email protected]
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