Effect of Rising Temperature on Lyme Disease: Ixodes scapularis Population Dynamics and Borrelia burgdorferi Transmission and Prevalence

Warmer temperatures are expected to increase the incidence of Lyme disease through enhanced tick maturation rates and a longer season of transmission. In addition, there could be an increased risk of disease export because of infected mobile hosts, usually birds. A temperature-driven seasonal model...

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Main Authors: Dorothy Wallace, Vardayani Ratti, Anita Kodali, Jonathan M. Winter, Matthew P. Ayres, Jonathan W. Chipman, Carissa F. Aoki, Erich C. Osterberg, Clara Silvanic, Trevor F. Partridge, Mariana J. Webb
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Canadian Journal of Infectious Diseases and Medical Microbiology
Online Access:http://dx.doi.org/10.1155/2019/9817930
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author Dorothy Wallace
Vardayani Ratti
Anita Kodali
Jonathan M. Winter
Matthew P. Ayres
Jonathan W. Chipman
Carissa F. Aoki
Erich C. Osterberg
Clara Silvanic
Trevor F. Partridge
Mariana J. Webb
author_facet Dorothy Wallace
Vardayani Ratti
Anita Kodali
Jonathan M. Winter
Matthew P. Ayres
Jonathan W. Chipman
Carissa F. Aoki
Erich C. Osterberg
Clara Silvanic
Trevor F. Partridge
Mariana J. Webb
author_sort Dorothy Wallace
collection DOAJ
description Warmer temperatures are expected to increase the incidence of Lyme disease through enhanced tick maturation rates and a longer season of transmission. In addition, there could be an increased risk of disease export because of infected mobile hosts, usually birds. A temperature-driven seasonal model of Borrelia burgdorferi (Lyme disease) transmission among four host types is constructed as a system of nonlinear ordinary differential equations. The model is developed and parametrized based on a collection of lab and field studies. The model is shown to produce biologically reasonable results for both the tick vector (Ixodes scapularis) and the hosts when compared to a different set of studies. The model is used to predict the response of Lyme disease risk to a mean annual temperature increase, based on current temperature cycles in Hanover, NH. Many of the risk measures suggested by the literature are shown to change with increased mean annual temperature. The most straightforward measure of disease risk is the abundance of infected questing ticks, averaged over a year. Compared to this measure, which is difficult and resource-intensive to track in the field, all other risk measures considered underestimate the rise of risk with rise in mean annual temperature. The measure coming closest was “degree days above zero.” Disease prevalence in ticks and hosts showed less increase with rising temperature. Single field measurements at the height of transmission season did not show much change at all with rising temperature.
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institution Kabale University
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spelling doaj-art-779db54250044a31910a04406a52d7562025-02-03T01:00:28ZengWileyCanadian Journal of Infectious Diseases and Medical Microbiology1712-95321918-14932019-01-01201910.1155/2019/98179309817930Effect of Rising Temperature on Lyme Disease: Ixodes scapularis Population Dynamics and Borrelia burgdorferi Transmission and PrevalenceDorothy Wallace0Vardayani Ratti1Anita Kodali2Jonathan M. Winter3Matthew P. Ayres4Jonathan W. Chipman5Carissa F. Aoki6Erich C. Osterberg7Clara Silvanic8Trevor F. Partridge9Mariana J. Webb10Dartmouth College, Hanover, NH 03755, USADartmouth College, Hanover, NH 03755, USADartmouth College, Hanover, NH 03755, USADartmouth College, Hanover, NH 03755, USADartmouth College, Hanover, NH 03755, USADartmouth College, Hanover, NH 03755, USADartmouth College, Hanover, NH 03755, USADartmouth College, Hanover, NH 03755, USADartmouth College, Hanover, NH 03755, USADartmouth College, Hanover, NH 03755, USADartmouth College, Hanover, NH 03755, USAWarmer temperatures are expected to increase the incidence of Lyme disease through enhanced tick maturation rates and a longer season of transmission. In addition, there could be an increased risk of disease export because of infected mobile hosts, usually birds. A temperature-driven seasonal model of Borrelia burgdorferi (Lyme disease) transmission among four host types is constructed as a system of nonlinear ordinary differential equations. The model is developed and parametrized based on a collection of lab and field studies. The model is shown to produce biologically reasonable results for both the tick vector (Ixodes scapularis) and the hosts when compared to a different set of studies. The model is used to predict the response of Lyme disease risk to a mean annual temperature increase, based on current temperature cycles in Hanover, NH. Many of the risk measures suggested by the literature are shown to change with increased mean annual temperature. The most straightforward measure of disease risk is the abundance of infected questing ticks, averaged over a year. Compared to this measure, which is difficult and resource-intensive to track in the field, all other risk measures considered underestimate the rise of risk with rise in mean annual temperature. The measure coming closest was “degree days above zero.” Disease prevalence in ticks and hosts showed less increase with rising temperature. Single field measurements at the height of transmission season did not show much change at all with rising temperature.http://dx.doi.org/10.1155/2019/9817930
spellingShingle Dorothy Wallace
Vardayani Ratti
Anita Kodali
Jonathan M. Winter
Matthew P. Ayres
Jonathan W. Chipman
Carissa F. Aoki
Erich C. Osterberg
Clara Silvanic
Trevor F. Partridge
Mariana J. Webb
Effect of Rising Temperature on Lyme Disease: Ixodes scapularis Population Dynamics and Borrelia burgdorferi Transmission and Prevalence
Canadian Journal of Infectious Diseases and Medical Microbiology
title Effect of Rising Temperature on Lyme Disease: Ixodes scapularis Population Dynamics and Borrelia burgdorferi Transmission and Prevalence
title_full Effect of Rising Temperature on Lyme Disease: Ixodes scapularis Population Dynamics and Borrelia burgdorferi Transmission and Prevalence
title_fullStr Effect of Rising Temperature on Lyme Disease: Ixodes scapularis Population Dynamics and Borrelia burgdorferi Transmission and Prevalence
title_full_unstemmed Effect of Rising Temperature on Lyme Disease: Ixodes scapularis Population Dynamics and Borrelia burgdorferi Transmission and Prevalence
title_short Effect of Rising Temperature on Lyme Disease: Ixodes scapularis Population Dynamics and Borrelia burgdorferi Transmission and Prevalence
title_sort effect of rising temperature on lyme disease ixodes scapularis population dynamics and borrelia burgdorferi transmission and prevalence
url http://dx.doi.org/10.1155/2019/9817930
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