Monitoring Human Babesiosis Emergence through Vector Surveillance New England, USA
Maria A. Diuk-Wasser
, Yuchen Liu, Tanner K. Steeves, Corrine Folsom-O’Keefe, Kenneth R. Dardick, Timothy Lepore, Stephen J. Bent, Sahar Usmani-Brown, Sam R. Telford, Durland Fish, and Peter J. Krause
Author affiliations: Yale School of Public Health, New Haven, Connecticut, USA (M.A. Diuk-Wasser, Y. Liu, T.K. Steeves, C. Folsom-O’Keefe,; S.J. Bent, S. Usmani-Brown, D. Fish, P.J. Krause); Uppsala University, Uppsala, Sweden (Y. Liu); Audubon Connecticut, Southbury, Connecticut, USA (C. Folsom-O’Keefe); Mansfield Family Practice, Storrs, Connecticut, USA (K.R. Dardick); Nantucket Cottage Hospital, Nantucket, Massachusetts, USA (T. Lepore); University of Adelaide, Adelaide, South Australia, Australia (S.J. Bent); Tufts University, Boston, Massachusetts, USA (S.R. Telford III); L2 Diagnostics, New Haven (S. Usmani-Brown)
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Figure 2
Figure 2. Linear regression model of the human ratio (disease incidence rate ratio) and the tick ratio (tick infection prevalence ratio)The regression model includes state-reported case data from disease-endemic sites and case diagnoses from both medical practicesThe human ratio derived from state-reported case data in the emerging area (northeastern Connecticut) is also displayed.
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