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Travel-associated illness trends and clusters, 2000-2010.

Leder K, Torresi J, Brownstein JS, Wilson ME, Keystone JS, Barnett E, Schwartz E, Schlagenhauf P, Wilder-Smith A, Castelli F, von Sonnenburg F, Freedman DO, Cheng AC, GeoSentinel Surveillance Netwo - Emerging Infect. Dis. (2013)

Bottom Line: Longitudinal data examining travel-associated illness patterns are lacking.The proportion who traveled for tourism decreased significantly, and the proportion who traveled to visit friends and relatives increased.This multisite longitudinal analysis highlights the utility of sentinel surveillance of travelers for contributing information on disease activity trends and an evidence base for travel medicine recommendations.

View Article: PubMed Central - PubMed

Affiliation: Royal Melbourne Hospital, Parkville, Victoria,Australia. karin.leder@monash.edu

ABSTRACT
Longitudinal data examining travel-associated illness patterns are lacking. To address this need and determine trends and clusters in travel-related illness, we examined data for 2000-2010, prospectively collected for 42,223 ill travelers by 18 GeoSentinel sites. The most common destinations from which ill travelers returned were sub-Saharan Africa (26%), Southeast Asia (17%), south-central Asia (15%), and South America (10%). The proportion who traveled for tourism decreased significantly, and the proportion who traveled to visit friends and relatives increased. Among travelers returning from malaria-endemic regions, the proportionate morbidity (PM) for malaria decreased; in contrast, the PM trends for enteric fever and dengue (excluding a 2002 peak) increased. Case clustering was detected for malaria (Africa 2000, 2007), dengue (Thailand 2002, India 2003), and enteric fever (Nepal 2009). This multisite longitudinal analysis highlights the utility of sentinel surveillance of travelers for contributing information on disease activity trends and an evidence base for travel medicine recommendations.

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Related in: MedlinePlus

Proportionate morbidity (PM) for enteric fever (no. enteric fever cases/1,000 ill returned GeoSentinel patients) by region, 2000–2010.
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Figure 4: Proportionate morbidity (PM) for enteric fever (no. enteric fever cases/1,000 ill returned GeoSentinel patients) by region, 2000–2010.

Mentions: For enteric fever (caused by Salmonella enterica serovar Typhi, S. enterica ser. Paratyphi, or unspecified), 67% of cases were imported from south-central Asia and 10% from each of Southeast Asia and sub-Saharan Africa (Figure 4). The PM for enteric fever increased over the 11 years (+10/1,000, p = 0.013). Exclusion of the 2009 cluster (Table 2) did not negate the overall significant trend. Regional trends could not be assessed because of considerable year-to-year variation in PM by region. Tourism accounted for 55% of cases and travel to visit friends and relatives for 27%.


Travel-associated illness trends and clusters, 2000-2010.

Leder K, Torresi J, Brownstein JS, Wilson ME, Keystone JS, Barnett E, Schwartz E, Schlagenhauf P, Wilder-Smith A, Castelli F, von Sonnenburg F, Freedman DO, Cheng AC, GeoSentinel Surveillance Netwo - Emerging Infect. Dis. (2013)

Proportionate morbidity (PM) for enteric fever (no. enteric fever cases/1,000 ill returned GeoSentinel patients) by region, 2000–2010.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3713975&req=5

Figure 4: Proportionate morbidity (PM) for enteric fever (no. enteric fever cases/1,000 ill returned GeoSentinel patients) by region, 2000–2010.
Mentions: For enteric fever (caused by Salmonella enterica serovar Typhi, S. enterica ser. Paratyphi, or unspecified), 67% of cases were imported from south-central Asia and 10% from each of Southeast Asia and sub-Saharan Africa (Figure 4). The PM for enteric fever increased over the 11 years (+10/1,000, p = 0.013). Exclusion of the 2009 cluster (Table 2) did not negate the overall significant trend. Regional trends could not be assessed because of considerable year-to-year variation in PM by region. Tourism accounted for 55% of cases and travel to visit friends and relatives for 27%.

Bottom Line: Longitudinal data examining travel-associated illness patterns are lacking.The proportion who traveled for tourism decreased significantly, and the proportion who traveled to visit friends and relatives increased.This multisite longitudinal analysis highlights the utility of sentinel surveillance of travelers for contributing information on disease activity trends and an evidence base for travel medicine recommendations.

View Article: PubMed Central - PubMed

Affiliation: Royal Melbourne Hospital, Parkville, Victoria,Australia. karin.leder@monash.edu

ABSTRACT
Longitudinal data examining travel-associated illness patterns are lacking. To address this need and determine trends and clusters in travel-related illness, we examined data for 2000-2010, prospectively collected for 42,223 ill travelers by 18 GeoSentinel sites. The most common destinations from which ill travelers returned were sub-Saharan Africa (26%), Southeast Asia (17%), south-central Asia (15%), and South America (10%). The proportion who traveled for tourism decreased significantly, and the proportion who traveled to visit friends and relatives increased. Among travelers returning from malaria-endemic regions, the proportionate morbidity (PM) for malaria decreased; in contrast, the PM trends for enteric fever and dengue (excluding a 2002 peak) increased. Case clustering was detected for malaria (Africa 2000, 2007), dengue (Thailand 2002, India 2003), and enteric fever (Nepal 2009). This multisite longitudinal analysis highlights the utility of sentinel surveillance of travelers for contributing information on disease activity trends and an evidence base for travel medicine recommendations.

Show MeSH
Related in: MedlinePlus