A Comparative Spatial and Climate Analysis of Human Granulocytic Anaplasmosis and Human Babesiosis in New York State (2013–2018). Issue 6 (21st July 2021)

• Record Type: Journal Article
• Authors: O'Connor, Collin; Prusinski, Melissa A; Jiang, Shiguo; Russell, Alexis; White, Jennifer; Falco, Richard; Kokas, John; Vinci, Vanessa; Gall, Wayne; Tober, Keith; Haight, Jamie; Oliver, JoAnne; Meehan, Lisa; Sporn, Lee Ann; Brisson, Dustin; Backenson, P Bryon
• Editors: Hamer, Sarah
• Is Part Of: Journal of medical entomology. Volume 58:Issue 6(2021)
• Page Start: 2453
• Page End: 2466
• Publication Date: 2021-07-21
• Subjects: anaplasmosis -- babesiosis -- zero-inflated negative binomial regression model -- climate -- landscape; Insects as carriers of disease -- Periodicals; 616.968
• DOI: 10.1093/jme/tjab107
• Languages: English
• ISSNs: 0022-2585

Abstract

Abstract: Human granulocytic anaplasmosis (HGA) and human babesiosis are tick-borne diseases spread by the blacklegged tick ( Ixodes scapularis Say, Acari: Ixodidae) and are the result of infection with Anaplasma phagocytophilum and Babesia microti, respectively. In New York State (NYS), incidence rates of these diseases increased concordantly until around 2013, when rates of HGA began to increase more rapidly than human babesiosis, and the spatial extent of the diseases diverged. Surveillance data of tick-borne pathogens (2007 to 2018) and reported human cases of HGA ( n = 4, 297) and human babesiosis ( n = 2, 986) (2013–2018) from the New York State Department of Health (NYSDOH) showed a positive association between the presence/temporal emergence of each pathogen and rates of disease in surrounding areas. Incidence rates of HGA were higher than human babesiosis among White and non-Hispanic/non-Latino individuals, as well as all age and sex groups. Human babesiosis exhibited higher rates among non-White individuals. Climate, weather, and landscape data were used to build a spatially weighted zero-inflated negative binomial (ZINB) model to examine and compare associations between the environment and rates of HGA and human babesiosis. HGA and human babesiosis ZINB models indicated similar associations with forest cover, forest land cover change, and winter minimum temperature; and differing associations with elevation, urban land cover change, and winter precipitation. These results indicate that tick-borne disease ecology varies between pathogens spread by I. scapularis .