Selected publications:

N.P. Connally, Hinckley, A., K. Feldman, M. Kemperman, D. Neitzel, S.B. Wee, J. White, P. Mead, and J.I. Meek.       2016.  Testing practices and volume of non-Lyme tickborne diseases in the United States. Ticks and Tick-Borne Diseases.  7:193-198.

Hinckley, A., J.I. Meek, J.E. Ray, S.A. Niesobecki, N.P. Connally, K. Feldman, E.H. Jones, P.B. Backenson, J.L. White, G. Lukacik, A. Kay, W. Miranda, and P.S. Mead.  2016.  Effectiveness of a single peridomestic application of acaricide to prevent Lyme and other tickborne diseases.  Journal of Infectious Diseases. pii: jiv775. [Epub ahead of print].

Feldman, K., N.P. Connally, B. Backenson, A. Hojgaard, A. Geissler, E.H. Jones, J.I. Meek, J. White, and A. Hinckley.  2015.  Abundance and infection rates of Ixodes scapularis nymphs collected from residential properties in Lyme disease-endemic areas of Connectict, Maryland, and New York.  Journal of Vector Ecology. 40:198-201.

Hinckley, A., N.P. Connally, J.I. Meek, B. Johnson, M. Kemperman, K. Feldman, J. White, and P. Mead.  2014.  Lyme disease testing by large commercial laboratories in the United States. Clinical Infectious Diseases.  59:676-681. Nominated for the 2015 CDC James H. Nagano Citation for Outstanding Publication.

Connally, N., K. Yousey-Hindes, and J.I. Meek.  2013. Selection of neighborhood controls for a population-based Lyme disease case-control study using a commercial marketing database. American Journal of Epidemiology 178: 276-279.

Garnett, J., N. Connally, K. Stafford III, and M. Cartter. 2011. Evaluation of deer-targeted interventions on Lyme disease incidence in Connecticut. Public Health Reports 126: 446-454.

Connally, N.P., A.J. Durante, K. Yousey-Hindes, J.I. Meek, R. Nelson, and R. Heimer. 2009.  Effectiveness of peridomestic Lyme disease prevention measures: Results of a three-year case-control study in Connecticut. American Journal of Preventive Medicine 37:201-206.

Connally, N.P., H.S. Ginsberg, and T.N. Mather.  2006.  Assessing peridomestic entomological factors as predictors for Lyme disease. Journal of Vector Ecology 31:364-370.