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1
Cloud Applications on Airborne
Allergies and Asthma Diseases
Vulnerability
Pankaj Rahi1, Dr. Rohit Bajaj2, Dr. S.P. Sood3
1 Ph. D Research Scholar, Chandigarh University, Mohali (PB) India
2 Associate Professor, Chandigarh University, Mohali (PB) India
3 Head, Health Informatics, C-DAC, Mohali(PB) India
2
OUTLINE OF PRESENTATION
• Introduction
• Goal and Objectives
• Cloud Applications on Airborne Allergies and
Asthma Diseases Vulnerability
• Expected benefits
• References
3
INTRODUCTION
• Environmental factors and air quality (out-door or indoor) are
major components playing vital role in spread and cure of
many diseases.
• Allergy and Asthma - two major diseases largely linked with
environmental factors and air-quality(indoor or outdoor).
• Approximately 20% to 30 % of total population suffers from at
least one of allergic diseases in India, out of which 15%
develop asthma (majority amongst Children of age 5-11 years -
WHO-Research 2009).
• Pollen availability in air, Pollutants increased the risk of asthma
among children and old-age people.
4
INTRODUCTION
o National Health Interview Survey (NHIS 2014 CDC & American
College of AAI), 8.4 percent of US children under age 18 years
suffered from hay fever, 10% from respiratory allergies, 15.9% are
having other allergies i.e skin, food etc.
Data Analytics become more complex and critical when dealing
with Human Healthcare indices /decisions
o Sign and Symptoms, Clinical Findings and Medications
o Age-group and Body Immunity Level, Social determinants
contributing to occurrence of disease ,Health and Hygiene
components etc.
o What if … when, Environmental Factors and Air Quality
causing the diseases ??
5
Environmental Factor (AQI) and
individual health
Source : Atlanta Allergy & Asthma, Georgia(http://www.atlantaallergy.com)
6
Goal and Objectives
“ Improving the individual health by predicting,
preventing the airborne allergies and asthma
diseases using Cloud Computing ”
o To provide an initial preventive diagnosis to all users depending on
the symptoms (EPHR).
o To distinguish population at risk using GIS/Geographic Positioning
System (GIS/GPS) and Individual Electronic Health Record.
o To secure the personal information of allergic and asthma infected
citizens and advice consultations, alerts to Hospitals/Family
Physicians
o To define Predictive Health Analytics as a Cloud Service (PHAaaS)
7
Outlining
mHealth
eHealth
8
The transmission of an infection intended on the factors:
o Susceptibility of the individual (immunity level)
o Duration of exposure
o Concentration of infectious agent
o Virulence of infectious agent
o Breathing rate.
Other factors considered
9
Expected benefits
• Improve Individual Health
• Green Computing
• Reduce the burden of Diseases( High-risk Groups Children
and Old age people)
• Promote Preventive Health
• PHAaaS (Predictive Health Analytics as a Service)
• Cost-effective, improve effectiveness of Health System
• Scalability for other diseases ( linked with Environmental
and Air-quality factors)
10
References
11
References
[20] http://www.atlantaallergy.com
12
Thanks
( Please forward suggestions & queries at
pankajrahi@rediffmail.com )

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Cloud Applications on allergy and airborne diseases vulnerability by Pankaj Rahi

  • 1. 1 Cloud Applications on Airborne Allergies and Asthma Diseases Vulnerability Pankaj Rahi1, Dr. Rohit Bajaj2, Dr. S.P. Sood3 1 Ph. D Research Scholar, Chandigarh University, Mohali (PB) India 2 Associate Professor, Chandigarh University, Mohali (PB) India 3 Head, Health Informatics, C-DAC, Mohali(PB) India
  • 2. 2 OUTLINE OF PRESENTATION • Introduction • Goal and Objectives • Cloud Applications on Airborne Allergies and Asthma Diseases Vulnerability • Expected benefits • References
  • 3. 3 INTRODUCTION • Environmental factors and air quality (out-door or indoor) are major components playing vital role in spread and cure of many diseases. • Allergy and Asthma - two major diseases largely linked with environmental factors and air-quality(indoor or outdoor). • Approximately 20% to 30 % of total population suffers from at least one of allergic diseases in India, out of which 15% develop asthma (majority amongst Children of age 5-11 years - WHO-Research 2009). • Pollen availability in air, Pollutants increased the risk of asthma among children and old-age people.
  • 4. 4 INTRODUCTION o National Health Interview Survey (NHIS 2014 CDC & American College of AAI), 8.4 percent of US children under age 18 years suffered from hay fever, 10% from respiratory allergies, 15.9% are having other allergies i.e skin, food etc. Data Analytics become more complex and critical when dealing with Human Healthcare indices /decisions o Sign and Symptoms, Clinical Findings and Medications o Age-group and Body Immunity Level, Social determinants contributing to occurrence of disease ,Health and Hygiene components etc. o What if … when, Environmental Factors and Air Quality causing the diseases ??
  • 5. 5 Environmental Factor (AQI) and individual health Source : Atlanta Allergy & Asthma, Georgia(http://www.atlantaallergy.com)
  • 6. 6 Goal and Objectives “ Improving the individual health by predicting, preventing the airborne allergies and asthma diseases using Cloud Computing ” o To provide an initial preventive diagnosis to all users depending on the symptoms (EPHR). o To distinguish population at risk using GIS/Geographic Positioning System (GIS/GPS) and Individual Electronic Health Record. o To secure the personal information of allergic and asthma infected citizens and advice consultations, alerts to Hospitals/Family Physicians o To define Predictive Health Analytics as a Cloud Service (PHAaaS)
  • 8. 8 The transmission of an infection intended on the factors: o Susceptibility of the individual (immunity level) o Duration of exposure o Concentration of infectious agent o Virulence of infectious agent o Breathing rate. Other factors considered
  • 9. 9 Expected benefits • Improve Individual Health • Green Computing • Reduce the burden of Diseases( High-risk Groups Children and Old age people) • Promote Preventive Health • PHAaaS (Predictive Health Analytics as a Service) • Cost-effective, improve effectiveness of Health System • Scalability for other diseases ( linked with Environmental and Air-quality factors)
  • 12. 12 Thanks ( Please forward suggestions & queries at pankajrahi@rediffmail.com )