Reconciling the Entomological Hazard and Disease Risk in the Lyme Disease System

Lyme disease (LD) is a commonly cited model for the link between habitat loss and/or fragmentation and disease emergence, based in part on studies showing that forest patch size is negatively related to LD entomological risk. An equivalent relationship has not, however, been shown between patch size...

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Main Authors: Max McClure, Maria Diuk-Wasser
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:International Journal of Environmental Research and Public Health
Subjects:
Online Access:http://www.mdpi.com/1660-4601/15/5/1048
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spelling doaj-d5f8e71727af43abaafcdef5042070af2020-11-24T22:44:06ZengMDPI AGInternational Journal of Environmental Research and Public Health1660-46012018-05-01155104810.3390/ijerph15051048ijerph15051048Reconciling the Entomological Hazard and Disease Risk in the Lyme Disease SystemMax McClure0Maria Diuk-Wasser1Vagelos College of Physicians & Surgeons, Columbia University, New York, NY 10032, USADepartment of Ecology, Evolution, and Environmental Biology, Columbia University, New York, NY 10027, USALyme disease (LD) is a commonly cited model for the link between habitat loss and/or fragmentation and disease emergence, based in part on studies showing that forest patch size is negatively related to LD entomological risk. An equivalent relationship has not, however, been shown between patch size and LD incidence (LDI). Because entomological risk is measured at the patch scale, while LDI is generally assessed in relation to aggregate landscape statistics such as forest cover, we posit that the contribution of individual patches to human LD risk has not yet been directly evaluated. We design a model that directly links theoretical entomological risk at the patch scale to larger-scale epidemiological data. We evaluate its predictions for relative LD risk in artificial landscapes with varying composition and configuration, and test its ability to predict countywide LDI in a 12-county region of New York. On simulated landscapes, we find that the model predicts a unimodal relationship between LD incidence and forest cover, mean patch size, and mean minimum distance (a measure of isolation), and a protective effect for percolation probability (a measure of connectivity). In New York, risk indices generated by this model are significantly related to countywide LDI. The results suggest that the lack of concordance between entomological risk and LDI may be partially resolved by this style of model.http://www.mdpi.com/1660-4601/15/5/1048Lyme diseaselandscapeentomological riskhabitat fragmentationland usedilution effecttickbiodiversityIxodes scapularisBorrelia burgdorferi
collection DOAJ
language English
format Article
sources DOAJ
author Max McClure
Maria Diuk-Wasser
spellingShingle Max McClure
Maria Diuk-Wasser
Reconciling the Entomological Hazard and Disease Risk in the Lyme Disease System
International Journal of Environmental Research and Public Health
Lyme disease
landscape
entomological risk
habitat fragmentation
land use
dilution effect
tick
biodiversity
Ixodes scapularis
Borrelia burgdorferi
author_facet Max McClure
Maria Diuk-Wasser
author_sort Max McClure
title Reconciling the Entomological Hazard and Disease Risk in the Lyme Disease System
title_short Reconciling the Entomological Hazard and Disease Risk in the Lyme Disease System
title_full Reconciling the Entomological Hazard and Disease Risk in the Lyme Disease System
title_fullStr Reconciling the Entomological Hazard and Disease Risk in the Lyme Disease System
title_full_unstemmed Reconciling the Entomological Hazard and Disease Risk in the Lyme Disease System
title_sort reconciling the entomological hazard and disease risk in the lyme disease system
publisher MDPI AG
series International Journal of Environmental Research and Public Health
issn 1660-4601
publishDate 2018-05-01
description Lyme disease (LD) is a commonly cited model for the link between habitat loss and/or fragmentation and disease emergence, based in part on studies showing that forest patch size is negatively related to LD entomological risk. An equivalent relationship has not, however, been shown between patch size and LD incidence (LDI). Because entomological risk is measured at the patch scale, while LDI is generally assessed in relation to aggregate landscape statistics such as forest cover, we posit that the contribution of individual patches to human LD risk has not yet been directly evaluated. We design a model that directly links theoretical entomological risk at the patch scale to larger-scale epidemiological data. We evaluate its predictions for relative LD risk in artificial landscapes with varying composition and configuration, and test its ability to predict countywide LDI in a 12-county region of New York. On simulated landscapes, we find that the model predicts a unimodal relationship between LD incidence and forest cover, mean patch size, and mean minimum distance (a measure of isolation), and a protective effect for percolation probability (a measure of connectivity). In New York, risk indices generated by this model are significantly related to countywide LDI. The results suggest that the lack of concordance between entomological risk and LDI may be partially resolved by this style of model.
topic Lyme disease
landscape
entomological risk
habitat fragmentation
land use
dilution effect
tick
biodiversity
Ixodes scapularis
Borrelia burgdorferi
url http://www.mdpi.com/1660-4601/15/5/1048
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AT mariadiukwasser reconcilingtheentomologicalhazardanddiseaseriskinthelymediseasesystem
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