Monitoring human babesiosis emergence through vector surveillance, New England, USA

Diuk-Wasser, Maria A., Liu, Yuchen, Steeves, Tanner K., Folsom-O'Keefe, Corrine, Dardick, Kenneth R., Lepore, Timothy, Bent, Stephen J., Usmani-Brown, Sahar, Telford, Sam R., III, Fish, Durland and Krause, Peter J. (2014) Monitoring human babesiosis emergence through vector surveillance, New England, USA. Emerging Infectious Diseases, 20 2: 225-231. doi:10.3201/eid2002.130644

Author Diuk-Wasser, Maria A.
Liu, Yuchen
Steeves, Tanner K.
Folsom-O'Keefe, Corrine
Dardick, Kenneth R.
Lepore, Timothy
Bent, Stephen J.
Usmani-Brown, Sahar
Telford, Sam R., III
Fish, Durland
Krause, Peter J.
Title Monitoring human babesiosis emergence through vector surveillance, New England, USA
Journal name Emerging Infectious Diseases   Check publisher's open access policy
ISSN 1080-6040
Publication date 2014-02
Year available 2014
Sub-type Article (original research)
DOI 10.3201/eid2002.130644
Open Access Status DOI
Volume 20
Issue 2
Start page 225
End page 231
Total pages 7
Place of publication Atlanta, GA, United States
Publisher U.S. Department of Health and Human Services * Centers for Disease Control and Prevention
Language eng
Formatted abstract
Human babesiosis is an emerging tick-borne disease caused by the intraerythrocytic protozoan Babesia microti. Its geographic distribution is more limited than that of Lyme disease, despite sharing the same tick vector and reservoir hosts. The geographic range of B. microti is expanding, but knowledge of its range is incomplete and relies exclusively on reports of human cases. We evaluated the utility of tick-based surveillance for monitoring disease expansion by comparing the ratios of the 2 infections in humans and ticks in areas with varying babesiosis endemicity. We found a close association between human disease and tick infection ratios in long-established babesiosis-endemic areas but a lower than expected incidence of human babesiosis on the basis of tick infection rates in new disease-endemic areas. This finding suggests that babesiosis at emerging sites is underreported. Vector-based surveillance can provide an early warning system for the emergence of human babesiosis.
Keyword Human babesiosis
Vector surveillance
Tick-borne disease
Babesia microti
B. microti
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Biological Sciences Publications
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Citation counts: TR Web of Science Citation Count  Cited 14 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 15 times in Scopus Article | Citations
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Created: Tue, 31 May 2016, 11:11:31 EST by Stephen Bent on behalf of Learning and Research Services (UQ Library)