Pre-Enrollment

30th September 2026

Final Paper Submission

5th October 2026

Registration Deadline

15th October`2026

Conference Date

30th Oct - 31st Oct 2026

Call for Papers

The International Conference on Public Health Data and Analytics invites researchers, academicians, industry experts, and practitioners to submit original and high-quality research contributions. This conference serves as a global platform for presenting innovative ideas, exchanging knowledge, and fostering interdisciplinary collaboration.

Focusing on key research areas such as Public Health, the conference aims to bridge theoretical advancements with real-world applications.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Data Analytics In Public Health Research
02
Big Data Applications In Healthcare
03
Health Informatics And Decision-making
04
Data Privacy And Security In Health
05
Public Health Surveillance And Analytics
06
Predictive Modeling For Health Outcomes
07
Data Visualization In Public Health
08
Integration Of Data Sources For Health
09
Ethical Considerations In Health Data Use
10
Community-based Data Collection Methods
11
Impact Of Data On Health Policy
12
Real-time Data For Public Health Responses
13
Data-driven Approaches To Health Disparities
14
Collaboration In Public Health Data Sharing
15
Innovations In Health Data Management
16
Use Of Gis In Public Health Analytics
17
Health Metrics And Evaluation Frameworks
18
Future Trends In Health Data Analytics
19
Capacity Building For Health Data Use
20
Public Health Research Methodologies
Conference Registration

To confirm your participation and secure your presentation slot, authors of accepted papers must complete the registration. Early registration is highly recommended to enjoy discounted fees.

Register Now to Confirm Participation
Publication & Submission

Present your findings to a global audience. All accepted papers are eligible for publication in ISER-affiliated journals and conference proceedings, providing you with maximum academic visibility.

Submit Your Paper for Review