Background: Hepatitis A (HA) is a low-incidence, non-endemic disease in Canada and the United States (US). However, a large difference in HA incidence between Canada and HA-endemic countries has made travel an important contributor to hepatitis A prevalence in Canada. There is also a (smaller) incidence differential between Canada and the US. Although the US has only moderately higher HA incidence, the volume of travel by Canadians to the US is many times higher than travel volume to endemic countries. Hence, travel to the US may constitute a source of low to moderate risk for Canadian travelers. To our knowledge, travel to the US has never been included as a potential risk factor for HA infection in Canadian epidemiologic analyses. The objective of this study was to use dynamic models to investigate the possible effects on hepatitis A incidence in Canada due to (1) implementing vaccination in the US, and (2) varying the volume of travel by Canadians to the US.
Methods: We developed and analyzed age-structured compartmental models for the transmission and vaccination of hepatitis A, for both Canada and the US. Models were parameterized using data on seroprevalence, case reporting, and travel patterns. The potential effect of hepatitis A prevalence in the US on hepatitis A prevalence in Canada was captured through a term representing infection of Canadians due to travel in the US.
Results: The model suggests that approximately 22% of HA cases in Canada in the mid 1990s may have been attributable to travel to the US. A universal vaccination programme that attained 70% coverage in young children in the US in the mid 1990s could have reduced Canadian incidence by 21% within 5 years.
Conclusion: Since not all necessary data were available to parameterize the model, the results should be considered exploratory. However, the analysis shows that, under plausible assumptions, the US may be more important for determining HA prevalence in Canada than is currently supposed. As international travel continues to grow, making vaccination policies ever more relevant to populations beyond a country's borders, such multi-country models will most likely come into wider use as predictive aids for policy development.
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http://dx.doi.org/10.1186/1471-2334-8-23 | DOI Listing |
Sci Rep
December 2024
Bioinformatics Laboratory, College of Computing, University Mohammed VI Polytechnic, Ben Guerir, Morocco.
Hepatitis C virus (HCV) presents a significant global health issue due to its widespread prevalence and the absence of a reliable vaccine for prevention. While significant progress has been achieved in therapeutic interventions since the disease was first identified, its resurgence underscores the need for innovative strategies to combat it. The nonstructural protein NS5A is crucial in the life cycle of the HCV, serving as a significant factor in both viral replication and assembly processes.
View Article and Find Full Text PDFJ Pediatr Hematol Oncol
January 2025
Department of Pediatric Oncology, Faculty of Medicine and Cancer Institute, Hacettepe University, Ankara, Turkey.
Objective: Childhood cancer treatment disrupts vaccination schedules and weakens or eliminates vaccine-induced immunity. In addition, post-treatment vaccine responses vary. This study aimed to assess post-treatment serum antibody levels and vaccine responses in children.
View Article and Find Full Text PDFArch Razi Inst
June 2024
Hepatitis Research Center, Department of Virology, School of Medicine, Lorestan University of Medical Sciences, Khorramabad, Iran.
Human immunodeficiency virus (HIV), hepatitis B virus (HBV), and hepatitis C virus (HCV) are known as the most common blood-borne viral infections worldwide. Individuals referring to drop-in centers (DICs) are considered high-risk people exposed to infection with blood-borne viruses. The purpose of this study was to investigate the prevalence of HIV, HBV, and HCV infections among women referred to DICs in Lorestan Province, western Iran.
View Article and Find Full Text PDFBMC Med
December 2024
Department of Epidemiology & Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Beijing, 100191, China.
Background: Risk prediction models can identify individuals at high risk of chronic liver disease (CLD), but there is limited evidence on the performance of various models in diverse populations. We aimed to systematically review CLD prediction models, meta-analyze their performance, and externally validate them in 0.5 million Chinese adults in the China Kadoorie Biobank (CKB).
View Article and Find Full Text PDFBMC Cancer
December 2024
Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, No. 5 Dongdansantiao Street, Dongcheng District, Beijing, 100005, China.
Background: The colorectal cancer mortality rate in China has exceeded that in many developing countries and is expected to further increase owing to multiple factors, including the aging population. However, the optimal policy for colorectal cancer screening is unknown.
Methods: We synthesized the most up-to-date data using a 12-state Markov model populated with a cohort of Chinese men and women born during 1949-1988, and evaluated 16 conventional and 40 risk-tailored schemes for colorectal cancer screening, considering possible combinations of age (starting at 40 + years and ending at 75 years), frequency, and strategy (standard colonoscopy, fecal immunochemical testing with colonoscopy if positive, or risk-tailored).
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