International Journal of Travel Medicine and Global Health
Volume:9 Issue: 2, Spring 2021

Primary care practitioners and travel medicine physicians are primarily responsible for identifying individuals who may be unfit for overseas travel and consulting with them pre-travel. Pre-existing medical conditions such as cardiovascular disease, chronic respiratory conditions and diabetes mellitus (DM) have the potential to complicate travel journeys. A considerable percentage of travel-associated illness may be due to the decompensation of a pre-existing medical condition. This review seeks to address the challenges faced by travellers with each of these conditions, including recently updated and evidence-based practical approaches for travel with comorbidities.

Sources for this review were identified through searches of PubMed/Google Scholar for materials published between 1st January 2000 and 31st December 2019, using combinations of search terms.

The volume of literature on travelling with a pre-existing condition exploded with more than 865 associated articles indexed on the PubMed alone as of March 2020. After screening titles, abstracts and, in some cases, the full text version of indexed articles, 121 articles were deemed relevant to the subject matter of this review.

Rational approaches to pre-planning for travel with a medical condition will contribute to the prevention of problems while in transit as well as when at the travel destination. It is imperative for health care providers to be aware of the preventative measures and current recommendations that should be taken before and during travel to protect individuals with a chronic illness. Further research and studies should be directed to protect this vulnerable group of travellers.

Coronavirus disease 2019 (COVID-19), confirmed as the global pandemic on March 11, 2020, by the World Health Organization (WHO), was caused by the outbreak of an emergent severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which was first reported in Wuhan city, China, in December 2019. Based on the previous pandemic, such as severe acute respiratory syndrome (SARS) from 2002 to 2003, Middle East respiratory syndrome coronavirus (MERS-CoV) in 2012. The scientific developments have fast-tracked our insights SARS-CoV-2 epidemiology, likewise vaccinology relevant for developing drugs for viral infections treatment. As there are not many detailed interventions and vaccines available for disease control, the pandemic COVID-19 poses countless threats to global public health, causing a great level of insecurity and unrest worldwide. To provide an inclusive overview to global health authorities and prospective readers worldwide, we detailed in this review the epidemiology and vaccinology of SARS-CoV-2 in Nigeria.

Coronavirus disease 2019 (COVID-19) is probably the worst epidemic the world has experienced in recent times; it has led to drastic, lifesaving, and extraordinary decisions by governments of nations. Among such extraordinary measures is the closure of international borders leading to the cancellation of air travel by commercial airlines. The carbon emissions from air travel affect global warming. To this end, some authors ranked aircraft as if it were a country and compared the volume of carbon emissions generated by air travel to that generated by countries from other sources. Commercial air travel ranked seventh after Germany in terms of carbon emissions. This policy review, therefore, explored the impact of COVID-19 lockdown and travel restrictions on global warming. As a result of lockdown, there is a likelihood of a significant decrease in carbon emissions and global warming. Assuming the estimated global emissions remain constant annually, an estimated 9 gigatonnes of carbon dioxide emissions would be avoided by the end of 2020 provided that the lockdown continues. To accurately measure the value of reduced carbon dioxide emissions during the global lockdown, it is recommended that scientific studies be conducted to estimate the carbon emissions generated by the few aircraft granted waivers to transport essential commodities during the global lockdown and deduct it from the 9 gigatonnes. After the global lockdown, through a travel policy review, governments and organizations are encouraged to restrict physical meetings or activities that involve air travel only to situations where a physical presence is unavoidable.

Travel medicine has become firmly established as a medical discipline and, as such, it should undergo periodic assessment of its productivity. Scientometrics is a field of study related to data science, which concerns itself with the measurement and analysis of published scholarly literature.

A scientometric evaluation was conducted of all 240 articles published through February 2021 in the International Journal of Travel Medicine and Global Health (IJTMGH), one of the few academic journals dedicated to the study of travel medicine.

The majority of articles belonged to the general category of travel medicine (62%, n=149), with 38% of articles (n=91) being focused on global health and non-travel related infectious diseases. The 149 travel medicine-related articles mapped onto the Body of Knowledge syllabus of the International Society of Travel Medicine, with the majority of articles addressing the domain of pre-travel assessment of travellers (49.7%, n=74), including the sub-domains of patient evaluation, special populations of travellers, special itineraries, prevention and self-treatment, and communication of risks to travellers. The most common thematic designation of IJTMGH articles related to medical and health tourism (12.1%, n=29). High levels of geographic diversity, multi-authorship and inter-institutional collaboration were observed in the journal. The subject matter of the most cited and most popular articles reflected the broad coverage of travel medicine and global health by IJTMGH.

We recommend that future bibliometric and citation analyses be performed, which will further enhance our understanding of the evolution of these dynamic fields of academic study.

As part of coronavirus disease 2019 (COVID-19) control strategies, entry screening was established at International airports. An assessment of the screening system will inform decision-making for improving entry screening for infectious diseases.
Assessment of entry screening at Thiruvananthapuram international airport done during pre and post-lockdown phases. Observation, interviews, and secondary data analysis were the methods employed. The number of passengers screened, their symptom profile, the yield of screening, actions taken, staff pattern, perceptions, training, and infection control practices assessed. Chi-square test and t test were used for testing significance.
Out of the 46139 passengers screened pre-lockdown, 297 (0.64%) had symptoms, 23 (0.05%) were positive in thermal screening. Six (2%) among them tested positive for COVID-19. Out of the 44 263 passengers screened post lockdown, from May to July 2020, 671 (1.5%) were symptomatic, and 12 (0.03%) were positive in thermal screening. COVID-19 was confirmed in 45 (6.7 %) patients identified through the screening. With the surge in cases, the proportion of passengers opting for institutional quarantine increased significantly (P < 0.001). None of the staff contracted the disease. Infection control practices followed by them were optimal.
Though the yield of thermal and symptom screening is low, entry screening is an opportunity to identify travelers at risk of COVID-19 infection. In addition, it helps in raising awareness to ensure quarantine and guides public health authorities in preventing disease spread to the community.

The coronavirus disease 2019 (COVID-19) has become a public health concern, and behavioral adjustments will minimize its spread worldwide by 80%. The main purpose of this research was to examine the factors associated with concerns about COVID-19 and the future direction of the COVID-19 scenario of Bangladesh.
The binary logistic regression model was performed to assess the impact of COVID-19 concern in Bangladesh. Based on data obtained through online surveys in November 2020 and to predict the next 40 days daily confirmed and deaths of COVID-19 in Bangladesh by applying the Autoregressive Integrated Moving Average (ARIMA) model.
The study enrolled 400 respondents, with 253 (63.2%) were male, and 147 (36.8%) were female. The mean age of respondents was 25.13 ± 5.74 years old. Almost 70% of them were found to be concerned about the COVID-19 pandemic. The result showed that respondents’ education level, knowledge regarding COVID-19 transmits, households with aged people, seasonal flu and HD/respiratory problems, and materials used while sneezing/coughing significantly influenced COVID-19 concerns. The analysis predicted that confirmed cases would gradually decrease for the ARIMA model while death cases will be constant for the next 40 days in Bangladesh.
The current study suggested that knowledge about COVID-19 spread and education played a vital role in the decline of COVID-19 concerned. A particular program should focus on creating an awareness of the disadvantages of concerns about the COVID-19 pandemic by augmenting knowledge about COVID-19 spread, enhancing Education in Bangladesh.

The disease related to the coronavirus disease 2019 (COVID-19) has now been a pandemic throughout the world. Although the epidemiological studies and clinical trials are utilized to find standard measures and medicines to prevent and control COVID-19, addressing the mental health and psychology of the people who may be at risk of the disease may also be effective to find comprehensive methods to better overcome this pandemic. This study aimed at investigating the mental status of both the general population and healthcare personnel during this pandemic in Iran.

Using a cross-sectional design, a sample of 296 medical staff and 532 people living in Tehran city of Iran were included in the study. The assessment was performed by Depression, Anxiety, and Stress scale short-form (DASS-21). Two groups were matched in terms of some demographical factors such as age, gender, and marital status. Analysis of covariance (ANCOVA) was utilized to perform comparisons between the two groups.

Both samples of the general population and medical staff had high levels of stress, anxiety, and depression. The mean score of anxiety and depression among medical staff was higher than that of the general population (P < 0.001). There was no significant difference between the two groups in terms of stress level.

It seems both the Iranian general population and healthcare personnel are under mental pressure caused by COVID-19, indicating an urgent need for intervention and using preventive measures to control the negative impacts of the diseases on the psychological well-being of these people. Further studies in other regions affected by the disease may provide more evidence in this regard.