Evidence Hub

Travel-Associated Melioidosis in Non-Endemic Regions: A Systematic Review and Meta-Analysis

Thanasai J, Phongphithakchai A, Chatatikun M, Laklaeng SN, Tangpong J, Wongyikul P, Phinyo P, Khemla S et al.

International journal of environmental research and public health, 2025

3 citations

Abstract

Background: Travel-associated melioidosis, caused by Burkholderia pseudomallei, is increasingly reported in non-endemic countries due to rising global travel. Understanding demographic, clinical, and outcome patterns of imported cases is important to improve recognition and management in settings where melioidosis is uncommon. Methods: We systematically searched PubMed, Embase, and Scopus (last search: 24 September 2025) for case reports and case series of melioidosis diagnosed outside endemic regions and linked to travel exposure. Data were extracted on demographics, comorbidities, clinical manifestations, and outcomes. We performed descriptive analyses, subgroup analyses, and Firth's penalized logistic regression to explore predictors of death. The protocol was registered in PROSPERO (CRD420251154559). Results: A total of 104 studies, encompassing 143 individual cases, were included. Most diagnoses occurred in non-endemic, high-income countries, especially the Netherlands (21%), France (10%), the United States (9%), and South Korea (7%). Infections were predominantly acquired in Southeast Asia, particularly Thailand (39%). The mean patient age was 50.6 years, with a male predominance (78%). Diabetes mellitus was the most frequent comorbidity (28%). Clinical presentations included pulmonary (33%), sepsis (27%), cutaneous (13%), abdominal (4%), and osteoarticular disease (1%). Overall mortality was 12.6% and relapse occurred in 7%. In penalized regression analyses, no…

How strong is the evidence?

Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free