Comparison of acarological risk metrics derived from active and passive surveillance and their concordance with tick-borne disease incidence
Tick-borne diseases continue to threaten human health across the United States. Both active and passive tick surveillance can complement human case surveillance, providing spatio-temporal information on when and where humans are at risk for encounters with ticks and tick-borne pathogens. However, li...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-11-01
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| Series: | Ticks and Tick-Borne Diseases |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1877959X23001243 |
| _version_ | 1797676302844559360 |
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| author | Karen M Holcomb Noelle Khalil Duncan W Cozens Jamie L Cantoni Doug E Brackney Megan A Linske Scott C Williams Goudarz Molaei Rebecca J Eisen |
| author_facet | Karen M Holcomb Noelle Khalil Duncan W Cozens Jamie L Cantoni Doug E Brackney Megan A Linske Scott C Williams Goudarz Molaei Rebecca J Eisen |
| author_sort | Karen M Holcomb |
| collection | DOAJ |
| description | Tick-borne diseases continue to threaten human health across the United States. Both active and passive tick surveillance can complement human case surveillance, providing spatio-temporal information on when and where humans are at risk for encounters with ticks and tick-borne pathogens. However, little work has been done to assess the concordance of the acarological risk metrics from each surveillance method. We used data on Ixodes scapularis and its associated human pathogens from Connecticut (2019–2021) collected through active collections (drag sampling) or passive submissions from the public to compare county estimates of tick and pathogen presence, infection prevalence, and tick abundance by life stage. Between the surveillance strategies, we found complete agreement in estimates of tick and pathogen presence, high concordance in infection prevalence estimates for Anaplasma phagocytophilum, Borrelia burgdorferi sensu stricto, and Babesia microti, but no consistent relationships between actively and passively derived estimates of tick abundance or abundance of infected ticks by life stage. We also compared nymphal metrics (i.e., pathogen prevalence in nymphs, nymphal abundance, and abundance of infected nymphs) with reported incidence of Lyme disease, anaplasmosis, and babesiosis, but did not find any consistent relationships with any of these metrics. The small spatial and temporal scale for which we had consistently collected active and passive data limited our ability to find significant relationships. Findings are likely to differ if examined across a broader spatial or temporal coverage with greater variation in acarological and epidemiological outcomes. Our results indicate similar outcomes between some actively and passively derived tick surveillance metrics (tick and pathogen presence, pathogen prevalence), but comparisons were variable for abundance estimates. |
| first_indexed | 2024-03-11T22:27:01Z |
| format | Article |
| id | doaj.art-96a1638d8870450c8f7bc1732530d27b |
| institution | Directory Open Access Journal |
| issn | 1877-9603 |
| language | English |
| last_indexed | 2024-03-11T22:27:01Z |
| publishDate | 2023-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ticks and Tick-Borne Diseases |
| spelling | doaj.art-96a1638d8870450c8f7bc1732530d27b2023-09-24T05:14:39ZengElsevierTicks and Tick-Borne Diseases1877-96032023-11-01146102243Comparison of acarological risk metrics derived from active and passive surveillance and their concordance with tick-borne disease incidenceKaren M Holcomb0Noelle Khalil1Duncan W Cozens2Jamie L Cantoni3Doug E Brackney4Megan A Linske5Scott C Williams6Goudarz Molaei7Rebecca J Eisen8Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, Fort Collins, CO, United States; Corresponding author.Center for Vector Biology and Zoonotic Diseases, The Connecticut Agricultural Experiment Station, New Haven, CT, United StatesCenter for Vector Biology and Zoonotic Diseases, The Connecticut Agricultural Experiment Station, New Haven, CT, United StatesCenter for Vector Biology and Zoonotic Diseases, The Connecticut Agricultural Experiment Station, New Haven, CT, United StatesCenter for Vector Biology and Zoonotic Diseases, The Connecticut Agricultural Experiment Station, New Haven, CT, United StatesCenter for Vector Biology and Zoonotic Diseases, The Connecticut Agricultural Experiment Station, New Haven, CT, United StatesCenter for Vector Biology and Zoonotic Diseases, The Connecticut Agricultural Experiment Station, New Haven, CT, United StatesCenter for Vector Biology and Zoonotic Diseases, The Connecticut Agricultural Experiment Station, New Haven, CT, United States; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, United StatesDivision of Vector-Borne Diseases, Centers for Disease Control and Prevention, Fort Collins, CO, United StatesTick-borne diseases continue to threaten human health across the United States. Both active and passive tick surveillance can complement human case surveillance, providing spatio-temporal information on when and where humans are at risk for encounters with ticks and tick-borne pathogens. However, little work has been done to assess the concordance of the acarological risk metrics from each surveillance method. We used data on Ixodes scapularis and its associated human pathogens from Connecticut (2019–2021) collected through active collections (drag sampling) or passive submissions from the public to compare county estimates of tick and pathogen presence, infection prevalence, and tick abundance by life stage. Between the surveillance strategies, we found complete agreement in estimates of tick and pathogen presence, high concordance in infection prevalence estimates for Anaplasma phagocytophilum, Borrelia burgdorferi sensu stricto, and Babesia microti, but no consistent relationships between actively and passively derived estimates of tick abundance or abundance of infected ticks by life stage. We also compared nymphal metrics (i.e., pathogen prevalence in nymphs, nymphal abundance, and abundance of infected nymphs) with reported incidence of Lyme disease, anaplasmosis, and babesiosis, but did not find any consistent relationships with any of these metrics. The small spatial and temporal scale for which we had consistently collected active and passive data limited our ability to find significant relationships. Findings are likely to differ if examined across a broader spatial or temporal coverage with greater variation in acarological and epidemiological outcomes. Our results indicate similar outcomes between some actively and passively derived tick surveillance metrics (tick and pathogen presence, pathogen prevalence), but comparisons were variable for abundance estimates.http://www.sciencedirect.com/science/article/pii/S1877959X23001243Active surveillancePassive surveillanceIxodes scapularisLyme diseaseAnaplasmosisBabesiosis |
| spellingShingle | Karen M Holcomb Noelle Khalil Duncan W Cozens Jamie L Cantoni Doug E Brackney Megan A Linske Scott C Williams Goudarz Molaei Rebecca J Eisen Comparison of acarological risk metrics derived from active and passive surveillance and their concordance with tick-borne disease incidence Ticks and Tick-Borne Diseases Active surveillance Passive surveillance Ixodes scapularis Lyme disease Anaplasmosis Babesiosis |
| title | Comparison of acarological risk metrics derived from active and passive surveillance and their concordance with tick-borne disease incidence |
| title_full | Comparison of acarological risk metrics derived from active and passive surveillance and their concordance with tick-borne disease incidence |
| title_fullStr | Comparison of acarological risk metrics derived from active and passive surveillance and their concordance with tick-borne disease incidence |
| title_full_unstemmed | Comparison of acarological risk metrics derived from active and passive surveillance and their concordance with tick-borne disease incidence |
| title_short | Comparison of acarological risk metrics derived from active and passive surveillance and their concordance with tick-borne disease incidence |
| title_sort | comparison of acarological risk metrics derived from active and passive surveillance and their concordance with tick borne disease incidence |
| topic | Active surveillance Passive surveillance Ixodes scapularis Lyme disease Anaplasmosis Babesiosis |
| url | http://www.sciencedirect.com/science/article/pii/S1877959X23001243 |
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