Public Health Informatics: Data, Decisions, and Career Pathway
Mohammad Sarfarazul Ambiya�Chief Data Scientist�
Session Outline
About me
Essential Skills for Excelling in Public Health - at least 70%
General Data Science Process
Steps in Data Analysis
Why spatial & time series analysis the most important in public health
Khushi Baby Public Health Informatics
Heart Disease
Hypertension
Diabetes
Obesity
Alcohol
Smoking
48M
Beneficiaries reached
6M
High-risk
identified
70K
CHWs
ASHA Segmentation
India’s first village-level multidimensional poverty index map gathered from ASHAs
Driving time calculated from each of 42,000 villages to nearest medical college (red > 3 hours, green <30 minutes). Self-reported cardiovascular disease cases overlayed.
Useful for planning:
> Cardiac care
> Stroke care
> Trauma
> Emergency Obstetrics
Accessibility vs health outcomes using geospatial insights to plan resource allocation
Malnutrition
HIV
Brick Kiln
Local, spatial factors associated with TB hotspots in Rajasthan to fine-tune local campaigns
Monitoring of positive cases- Identification of Hotspots
Malaria
Dengue
Vs
Lab confirmed cases of Dengue and Malaria are being reverse geo-mapped in time series
SARIMA Model
CHVI Visualization up to Block level
Maternal Anemia AI Model
Q&A?
Thank You��Mohammad Sarfarazul Ambiya
Chief Data Scientist - Khushi Baby�Climate Health Technical Advisor - JPAL�Great Learning Academic Mentor - MIT DSML�Data Science Mentor - Inttrvu.AI�Geospatial Scientist - OMDENA�https://www.linkedin.com/in/mohammad-sarfarazul-ambiya-1261a0b9/�+917795956350,sarfraazmsa@gmail.com�