Spatiotemporal Epidemiology (Understanding the space and time distribution and determinants) and Forecasting of Dengue in the state of Punjab, India

Active, not recruiting

• Conditions: Dengue fever [classical dengue], (2) ICD-10 Condition: A91||Dengue hemorrhagic fever,

• Registration Number: CTRI/2021/01/030245
• Lead Sponsor: Sree Chitra Tirunal Institute for Medical Sciences and Technology

Brief Summary

The present study will be based on the data science approach. The raw data will be collected from multiple routine data sources in the health sector and other data from non-healthcare sectors such as population enumeration data, satellite imagery data, and climatic data. These historic datasets will be used to train computer programs using reproducible algorithms to understand disease epidemiology. The knowledge gained and learnings will be utilized for the development of a framework for the routine data-based Vector-Borne Disease (VBD) forecasting models.

Detailed Description

Not available

Study Timeline

• Study Start: 2021-01-13
• Last Update Posted: 2021-09-17

Recruitment & Eligibility

• Status: Closed to Recruitment of Participants
• Sex: All
• Target Recruitment: 60000

Inclusion Criteria

The proposed study shall include all lab-confirmed dengue cases reported by Directorate of Health Services, Punjab from 01 Jan 2015 to 31 Dec 2019.

Exclusion Criteria

Lab confirmed dengue cases which are not included in the routine health information system.

Study & Design

• Study Type: Observational
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Exploration of associations between risk factors and dengue occurrence.	Jan 2022
Development of dengue forecasting models.	Jan 2022
Understanding of spatiotemporal epidemiology of dengue.	Jan 2022

Secondary Outcome Measures

Name	Time	Method
Value addition to the existing surveillance for dengue, by incorporating data sources from outside the health sector. The project will strengthen dengue surveillance by using routine data by integrating multiple data sources from non-health sectors. The framework for routine data-based vector-borne disease forecasting models shall provide a process and algorithms to be followed for the development of disease forecasting models using the data science approach.	Jan 2022

Trial Locations

Locations (1)

Sree Chitra Tirunal Institute for Medical Sciences and Technology; 🇮🇳 Thiruvananthapuram, KERALA, India

Sree Chitra Tirunal Institute for Medical Sciences and Technology

🇮🇳Thiruvananthapuram, KERALA, India

Dr Biju Soman

Principal investigator

9447862736

bijusoman@sctimst.ac.in

Dr Gurpreet Singh

Principal investigator

8552055667

drgurpreet.md.afmc@gmail.com