Travel-related hepatitis E: a two-decade GeoSentinel analysis

Analysis of the spatial-temporal distribution characteristics of hepatitis E in Jiangsu province from 2005 to 2020

Objective

This study attempts to analyze the spatial clustering and spatial-temporal distribution characteristics of hepatitis E (HE) at the county (city and district) level in Jiangsu province to provide a scientific basis for the prevention and control of HE.

Method

The information on HE cases reported in the Chinese Center for Disease Control and Prevention Information System from 2005 to 2020 was collected for spatial autocorrelation analysis and spatial-temporal clustering analysis.

Result

From 2005 to 2020, 48,456 HE cases were reported in Jiangsu province, with an average annual incidence rate of 3.87/100,000. Male cases outnumbered female cases (2.46:1), and the incidence was highest in the 30-70 years of age group (80.50%). Farmers accounted for more than half of all cases (59.86%), and in terms of the average annual incidence, the top three cities were all in Zhenjiang city. Spatial autocorrelation analysis showed that Global Moran's I of HE incidence varied from 0.232 to 0.513 for the years. From 2005 to 2020, 31 counties (cities and districts) had high and statistically significant HE incidence, and two clustering areas were detected by spatial-temporal scanning.

Conclusion

HE incidence in Jiangsu province from 2005 to 2020 was stable, with age and gender differences, regional clustering, and spatial-temporal clustering. Further investigation of HE clustering areas is necessary to formulate corresponding targeted prevention and control measures.

Prevalence of hepatitis E infection among adults with concurrent chronic liver disease

While hepatitis E virus (HEV) infection can increase the risk of liver decompensation and death in patients with underlying chronic liver disease (CLD), prevalence of HEV in this cohort is not well reported. Using data from the 2011-2018 National Health and Nutrition Examination Survey, we aim to evaluate seroprevalence of HEV IgG among adults with non-alcoholic fatty liver disease (NAFLD), alcoholic liver disease (ALD), chronic hepatitis C virus (HCV) and chronic hepatitis B virus (HBV). HEV IgG seroprevalence between groups was evaluated with chi-square testing, and adjusted multivariate logistic regression models evaluated for predictors of seropositivity for HEV IgG. Seroprevalence of HEV IgG was 6.58% in ALD, 8.66% in HCV, 8.81% in NAFLD and 19.86% in HBV. We observed increasing HEV IgG seroprevalence over time in our study period, and in 2015-2018, seroprevalence was highest among the individuals with HCV (10.00%) and HBV (30.30%). Older age and being born outside of the United States were associated with seropositivity for HEV IgG in ALD, NAFLD, HBV, and for HCV, older age and being at or below poverty level were associated with seroprevalence for HEV IgG. In conclusion, we observed a relatively high prevalence of HEV among adults with CLD. These data highlight the need for greater awareness and education about the role of HEV in patients with underlying CLD, improving HEV test diagnostics, and revisiting the discussion about the potential role of HEV vaccines in CLD patients who are at higher risk of decompensation and death from acute HEV infection.

GeoSentinel: past, present and future†

RATIONALE FOR REVIEW

In response to increased concerns about emerging infectious diseases, GeoSentinel, the Global Surveillance Network of the International Society of Travel Medicine in partnership with the US Centers for Disease Control and Prevention (CDC), was established in 1995 in order to serve as a global provider-based emerging infections sentinel network, conduct surveillance for travel-related infections and communicate and assist global public health responses. This review summarizes the history, past achievements and future directions of the GeoSentinel Network.

KEY FINDINGS

Funded by the US CDC in 1996, GeoSentinel has grown from a group of eight US-based travel and tropical medicine centers to a global network, which currently consists of 68 sites in 28 countries. GeoSentinel has provided important contributions that have enhanced the ability to use destination-specific differences to guide diagnosis and treatment of returning travelers, migrants and refugees. During the last two decades, GeoSentinel has identified a number of sentinel infectious disease events including previously unrecognized outbreaks and occurrence of diseases in locations thought not to harbor certain infectious agents. GeoSentinel has also provided useful insight into illnesses affecting different traveling populations such as migrants, business travelers and students, while characterizing in greater detail the epidemiology of infectious diseases such as typhoid fever, leishmaniasis and Zika virus disease.

CONCLUSIONS

Surveillance of travel- and migration-related infectious diseases has been the main focus of GeoSentinel for the last 25 years. However, GeoSentinel is now evolving into a network that will conduct both research and surveillance. The large number of participating sites and excellent geographic coverage for identification of both common and illnesses in individuals who have traversed international borders uniquely position GeoSentinel to make important contributions of travel-related infectious diseases in the years to come.