BACKGROUND: Human babesiosis is a mild-to-severe parasitic infection that poses health concerns especially in older and other at-risk populations. The study objective was to assess babesiosis occurrence among US Medicare beneficiaries, ages 65 and older, during 2006-2017. METHODS: Our retrospective claims-based study used Medicare databases. Babesiosis cases were identified using recorded diagnosis codes. The study estimated rates (per 100 000 beneficiary-years) overall, by year, diagnosis month, demographics, and state and county of residence. RESULTS: Nationwide, 19 469 beneficiaries had babesiosis recorded, at a rate of 6 per 100 000 person-years, ranging from 4 in 2006 to 9 in 2017 (P < .05). The highest babesiosis rates by state were in the following: Massachusetts (62), Rhode Island (61), Connecticut (51), New York (30), and New Jersey (19). The highest rates by county were in the following: Nantucket, Massachusetts (1089); Dukes, Massachusetts (236); Barnstable, Massachusetts (213); and Dutchess, New York (205). Increasing rates, from 2006 through 2017 (P < .05), were identified in multiple states, including states previously considered nonendemic. New Hampshire, Maine, Vermont, Pennsylvania, and Delaware saw rates increase by several times. CONCLUSIONS: Our 12-year study shows substantially increasing babesiosis diagnosis trends, with highest rates in well established endemic states. It also suggests expansion of babesiosis infections in other states and highlights the utility of real-world evidence. Published by Oxford University Press on behalf of Infectious Diseases Society of America 2020.
BACKGROUND: Human babesiosis is a mild-to-severe parasitic infection that poses health concerns especially in older and other at-risk populations. The study objective was to assess babesiosis occurrence among US Medicare beneficiaries, ages 65 and older, during 2006-2017. METHODS: Our retrospective claims-based study used Medicare databases. Babesiosis cases were identified using recorded diagnosis codes. The study estimated rates (per 100 000 beneficiary-years) overall, by year, diagnosis month, demographics, and state and county of residence. RESULTS: Nationwide, 19 469 beneficiaries had babesiosis recorded, at a rate of 6 per 100 000 person-years, ranging from 4 in 2006 to 9 in 2017 (P < .05). The highest babesiosis rates by state were in the following: Massachusetts (62), Rhode Island (61), Connecticut (51), New York (30), and New Jersey (19). The highest rates by county were in the following: Nantucket, Massachusetts (1089); Dukes, Massachusetts (236); Barnstable, Massachusetts (213); and Dutchess, New York (205). Increasing rates, from 2006 through 2017 (P < .05), were identified in multiple states, including states previously considered nonendemic. New Hampshire, Maine, Vermont, Pennsylvania, and Delaware saw rates increase by several times. CONCLUSIONS: Our 12-year study shows substantially increasing babesiosis diagnosis trends, with highest rates in well established endemic states. It also suggests expansion of babesiosis infections in other states and highlights the utility of real-world evidence. Published by Oxford University Press on behalf of Infectious Diseases Society of America 2020.
Authors: Edouard G Vannier; Maria A Diuk-Wasser; Choukri Ben Mamoun; Peter J Krause Journal: Infect Dis Clin North Am Date: 2015-06 Impact factor: 5.982
Authors: R Monina Klevens; Melissa A Cumming; Evan Caten; Susan L Stramer; Rebecca L Townsend; Laura Tonnetti; Jorge Rios; Carolyn T Young; Susan Soliva; Alfred DeMaria Journal: Transfusion Date: 2018-09-27 Impact factor: 3.157
Authors: Stacie J Robinson; David F Neitzel; Ronald A Moen; Meggan E Craft; Karin E Hamilton; Lucinda B Johnson; David J Mulla; Ulrike G Munderloh; Patrick T Redig; Kirk E Smith; Clarence L Turner; Jamie K Umber; Katharine M Pelican Journal: Ecohealth Date: 2014-10-04 Impact factor: 3.184
Authors: Mikhail Menis; Richard A Forshee; Sanjai Kumar; Stephen McKean; Rob Warnock; Hector S Izurieta; Rahul Gondalia; Chris Johnson; Paul D Mintz; Mark O Walderhaug; Christopher M Worrall; Jeffrey A Kelman; Steven A Anderson Journal: PLoS One Date: 2015-10-15 Impact factor: 3.240
Authors: Robert P Smith; Susan P Elias; Timothy J Borelli; Bayan Missaghi; Brian J York; Robert A Kessler; Charles B Lubelczyk; Eleanor H Lacombe; Catherine M Hayes; Michael S Coulter; Peter W Rand Journal: Emerg Infect Dis Date: 2014-10 Impact factor: 6.883
Authors: Marten J Edwards; James C Russell; Emily N Davidson; Thomas J Yanushefski; Bess L Fleischman; Rachel O Heist; Julia G Leep-Lazar; Samantha L Stuppi; Rita A Esposito; Louise M Suppan Journal: J Med Entomol Date: 2019-06-27 Impact factor: 2.278
Authors: Evan M Bloch; Jonathan R Day; Peter J Krause; Anne Kjemtrup; Sheila F O'Brien; Aaron A R Tobian; Ruchika Goel Journal: Emerg Infect Dis Date: 2022-02 Impact factor: 6.883
Authors: Jean Stanley; Susan L Stramer; Yasuko Erickson; Julie Cruz; Jed Gorlin; Mark Janzen; Susan N Rossmann; Todd Straus; Patrick Albrecht; Lisa Lee Pate; Susan A Galel Journal: Transfusion Date: 2021-08-08 Impact factor: 3.337