Experience and Learning from the Government Travel Health Clinic in India – Secondary Data Analysis

Abstract Introduction: The unexpected boom in international and domestic travel due to improved connectivity and accessibility compels us to think about the health of the travellers. Our study involved analyses of the data in the travel health clinic. Materials and Methods: A secondary data analysis of the data regarding yellow fever vaccination since January 2019 and the data regarding the travellers presenting to the travel health clinic from its inception on 19 November 2023 to 15 July 2024 was conducted. Results: The mean age of the participants was 35, with the majority of them being males. South Africa was the most common country of travel, followed by Nigeria. The common reasons for travel were occupation/business, followed by tourism. Less than 40% of the beneficiaries were only found to have normal BMI; more than three-fourths of the beneficiaries were either pre-hypertensive or hypertensive, and around 5% presented with elevated random blood sugar levels. Conclusions: The analysis in the paper provide a path for establishing travel health clinics. There is a need for health education activities on travel health services for travellers, which need to be accessible and affordable.

Authors

Institutions

Publication Details

Journal
Preventive Medicine Research & Reviews
Published
2025-10-28
DOI
https://doi.org/10.4103/pmrr.pmrr_42_25
Primary Topic
Travel-related health issues
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Experience and Learning from the Government Travel Health Clinic in India – Secondary Data Analysis

Swayam Pragyan Parida, Mythry Ravichandran, Sonu Hangma Subba, Debkumar Pal et al.
Preventive Medicine Research & Reviews
Travel-related health issues
article

Experience and Learning from the Government Travel Health Clinic in India – Secondary Data Analysis

Swayam Pragyan Parida, Mythry Ravichandran, Sonu Hangma Subba, Debkumar Pal, Arvind Kumar Singh, Abhisek Mishra, Swosti Kiran
article en

Abstract

Abstract Introduction: The unexpected boom in international and domestic travel due to improved connectivity and accessibility compels us to think about the health of the travellers. Our study involved analyses of the data in the travel health clinic. Materials and Methods: A secondary data analysis of the data regarding yellow fever vaccination since January 2019 and the data regarding the travellers presenting to the travel health clinic from its inception on 19 November 2023 to 15 July 2024 was conducted. Results: The mean age of the participants was 35, with the majority of them being males. South Africa was the most common country of travel, followed by Nigeria. The common reasons for travel were occupation/business, followed by tourism. Less than 40% of the beneficiaries were only found to have normal BMI; more than three-fourths of the beneficiaries were either pre-hypertensive or hypertensive, and around 5% presented with elevated random blood sugar levels. Conclusions: The analysis in the paper provide a path for establishing travel health clinics. There is a need for health education activities on travel health services for travellers, which need to be accessible and affordable.

Preventive Medicine Research & ReviewsVol. 3(1)
All India Institute of Medical Sciences Bhubaneswar (IN)
Openalex Percentile: Top 59%
Travel-related health issues
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Experience and Learning from the Government Travel Health Clinic in India – Secondary Data Analysis — Swayam Pragyan Parida, Mythry Ravichandran, et al. · Preventive Medicine Research & Reviews (2025) | TGRS Research Map | TGRS