Travel Medicine

Travelling entails increased risk in disease dissemination. Both travelers and healthcare providers need to be aware of the risks and take the required precautions to prevent them. In order to help you learn more on travel health challenges and how to mitigate them, we have collated this selection of travel health content.

CDC Yellow Book 2020: Health Information for International Travel

Compiled by the Centers for Disease Control and Prevention, the 2020 edition of the CDC Yellow Book, offers everything travelers and healthcare providers need to know for safe and healthy travel abroad. This edition includes updated information on new and emerging travel-related illnesses, including Zika, Ebola, and sarcocystosis as well as guidelines for treating infectious diseases in the face of increasing antimicrobial resistance. Discover more here.

Pre-travel vaccination (The Vaccine Handbook)

Pre-travel vaccination is vital before travelling to certain destinations. Read this free chapter on travel vaccines from the The Vaccine Handbook, an essential  reference for infectious disease specialists, general practitioners, pediatricians, OB/GYN physicians, and nurse practitioners in training or in practice.

Travel in the immunocompromised patient (OSH Infection in the Immunocompromised Host)

With increasing globalization, travel, and therefore novel exposure, is growing in the immunocompromised. In this free chapter you can explore the risks and precautions immunocompromised patients need to keep in mind before travelling.

Infectious Disease Epidemiology

Travelling is among the factors related to the emergence or re-emergence of infectious diseases. Read more in this free chapter from Infectious Disease Epidemiology, a practical guide which provides a thorough understanding of the basic concepts of epidemiology.

Global Management of Infectious Disease After Ebola

Even in countries with advanced medical facilities and relatively strong compliance with International Health Regulations obligations, the failure to implement basic measures may have wide-reaching consequences. In this free chapter you can explore practical aspects of effective Ebola outbreak containment processes, including prevention of travel, especially internationally, of infected persons.

Measuring mobility, disease connectivity and individual risk: a review of using mobile phone data and mHealth for travel medicine

Mobile phones and mHealth have become a novel and tremendously powerful source of information on measuring human movements and origin–destination-specific risks of infectious and non-infectious health issues. The high penetration rate of mobile phones across the globe provides an unprecedented opportunity to quantify human mobility and accurately estimate the health risks in travellers. For more details read our free article.

 Severe obesity as a barrier to international travel: a qualitative analysis 

It is unknown whether obesity is a barrier to international travel. The purpose of this qualitative study was to describe the travel experiences of a cohort of severely obese individuals attending a hospital-based bariatric service, to identify their perceived barriers to travel and to generate recommendations that address the needs of severely obese individuals.

Business travel-associated illness: a GeoSentinel analysis

Globally, business travel comprises ~14% of all international travel. Illness in an employee while traveling has additional consequences that may be less relevant in their country of residence. Using the GeoSentinel Surveillance Network, this free article describes the travel patterns of ill business travelers entered in the database and identify illnesses that affect this group.

Population mobility reductions associated with travel restrictions during the Ebola epidemic in Sierra Leone: use of mobile phone data

Travel restrictions were implemented on an unprecedented scale in 2015 in Sierra Leone to contain and eliminate Ebola virus disease. However, the impact of epidemic travel restrictions on mobility itself remains difficult to measure with traditional methods. New ‘big data’ approaches using mobile phone data can provide, in near real-time, the type of information needed to guide and evaluate control measures. Read the time series analysis and a crossover analysis.