| CTRI Number |
CTRI/2021/01/030245 [Registered on: 05/01/2021] Trial Registered Prospectively |
| Last Modified On: |
17/09/2021 |
| Post Graduate Thesis |
Yes |
| Type of Trial |
Observational |
|
Type of Study
|
Secondary Data Analysis |
| Study Design |
Other |
|
Public Title of Study
|
Spatiotemporal Epidemiology (Understanding the space and time distribution and determinants) and Forecasting of Dengue in the state of Punjab, India |
|
Scientific Title of Study
|
Spatiotemporal Epidemiology and Forecasting of Dengue in the state of Punjab, India |
| Trial Acronym |
|
|
Secondary IDs if Any
|
| Secondary ID |
Identifier |
| NIL |
NIL |
|
|
Details of Principal Investigator or overall Trial Coordinator (multi-center study)
|
| Name |
Gurpreet Singh |
| Designation |
PhD Scholar |
| Affiliation |
Sree Chitra Tirunal Institute for Medical Sciences and Technology |
| Address |
Room No 33,
Third Floor,
Achutha Menon Centre for Health Science Studies (AMCHSS),
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST)
Thiruvananthapuram
KERALA
695011
India |
| Phone |
8552055667 |
| Fax |
|
| Email |
drgurpreet.md.afmc@gmail.com |
|
Details of Contact Person
Scientific Query
|
| Name |
Gurpreet Singh |
| Designation |
PhD Scholar |
| Affiliation |
Sree Chitra Tirunal Institute for Medical Sciences and Technology |
| Address |
Room no 33,
Third floor,
Achutha Menon Centre for Health Science Studies (AMCHSS),
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST)
Thiruvananthapuram
KERALA
695011
India |
| Phone |
8552055667 |
| Fax |
|
| Email |
drgurpreet.md.afmc@gmail.com |
|
Details of Contact Person
Public Query
|
| Name |
Biju Soman |
| Designation |
Professor (PhD Guide) |
| Affiliation |
Sree Chitra Tirunal Institute of Medical Sciences and Technology |
| Address |
Faculty room,
Second Floor,
Achutha Menon Centre for Health Science Studies (AMCHSS),
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST)
Thiruvananthapuram
KERALA
695011
India |
| Phone |
9447862736 |
| Fax |
0471-2446433 |
| Email |
bijusoman@sctimst.ac.in |
|
|
Source of Monetary or Material Support
|
| Sree Chitra Tirunal Institute for Medical Sciences and Technology |
|
|
Primary Sponsor
|
| Name |
Sree Chitra Tirunal Institute for Medical Sciences and Technology |
| Address |
Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, India - 695011 |
| Type of Sponsor |
Research institution |
|
|
Details of Secondary Sponsor
|
|
|
Countries of Recruitment
|
India |
|
Sites of Study
|
| No of Sites = 2 |
| Name of Principal
Investigator |
Name of Site |
Site Address |
Phone/Fax/Email |
| Dr Biju Soman |
Sree Chitra Tirunal Institute for Medical Sciences and Technology |
Faculty Room,
Second Floor,
Achutha Menon Centre for Health Science Studies
Thiruvananthapuram
KERALA |
9447862736
04712446433
bijusoman@sctimst.ac.in |
| Dr Gurpreet Singh |
Sree Chitra Tirunal Institute for Medical Sciences and Technology |
Room No 33,
Third Floor,
Achutha Menon Centre for Health Science Studies
Thiruvananthapuram
KERALA |
8552055667
drgurpreet.md.afmc@gmail.com |
|
|
Details of Ethics Committee
|
| No of Ethics Committees= 1 |
| Name of Committee |
Approval Status |
| Institutional Ethics Committee, SCTIMST (IEC Regn No. ECR/189/Inst/KL/2013/RR-16) |
Approved |
|
|
Regulatory Clearance Status from DCGI
|
|
|
Health Condition / Problems Studied
|
| Health Type |
Condition |
| Patients |
(1) ICD-10 Condition: A90||Dengue fever [classical dengue], (2) ICD-10 Condition: A91||Dengue hemorrhagic fever, |
|
|
Intervention / Comparator Agent
|
|
|
Inclusion Criteria
|
| Age From |
0.00 Day(s) |
| Age To |
99.00 Year(s) |
| Gender |
Both |
| Details |
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. |
|
| ExclusionCriteria |
| Details |
Lab confirmed dengue cases which are not included in the routine health information system. |
|
|
Method of Generating Random Sequence
|
Not Applicable |
|
Method of Concealment
|
Not Applicable |
|
Blinding/Masking
|
Not Applicable |
|
Primary Outcome
|
| Outcome |
TimePoints |
Understanding of spatiotemporal epidemiology of dengue.
Exploration of associations between risk factors and dengue occurrence.
Development of dengue forecasting models. |
Jan 2022 |
|
|
Secondary Outcome
|
| Outcome |
TimePoints |
| 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 |
|
|
Target Sample Size
|
Total Sample Size="60000"
Sample Size from India="60000"
Final Enrollment numbers achieved (Total)= "Applicable only for Completed/Terminated trials"
Final Enrollment numbers achieved (India)="Applicable only for Completed/Terminated trials" |
|
Phase of Trial
|
N/A |
|
Date of First Enrollment (India)
|
13/01/2021 |
| Date of Study Completion (India) |
Applicable only for Completed/Terminated trials |
| Date of First Enrollment (Global) |
Date Missing |
| Date of Study Completion (Global) |
Applicable only for Completed/Terminated trials |
|
Estimated Duration of Trial
|
Years="1"
Months="0"
Days="0" |
Recruitment Status of Trial (Global)
Modification(s)
|
Not Applicable |
| Recruitment Status of Trial (India) |
Closed to Recruitment of Participants |
Publication Details
Modification(s)
|
Singh G, Soman B. Spatiotemporal Epidemiology and Forecasting of Dengue in the state of Punjab, India: Study Protocol.,. Spatial and Spatio-temporal Epidemiology 2021; : 100444.
|
|
Individual Participant Data (IPD) Sharing Statement
|
Will individual participant data (IPD) be shared publicly (including data dictionaries)?
Response - NO
|
|
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. |