Literature DB >> 10520492

A mathematical model of the ecology of Lyme disease.

T C Porco1.   

Abstract

A mathematical model of enzootic Lyme-disease transmission in a natural focus is presented. This model is based on the life history of the vector tick Ixodes scapularis Say and the primary reservoir host Peromyscus leucopus. Using this model, the threshold condition for the disease to be able to invade a nonenzootic region is determined as a function of the various possible transmission chains operating throughout the year. These expressions show that the transmission chain in which ticks acquire the disease from mice in the fall and transmit it back to mice as nymphs in the spring is the most important chain (contributing approximately 87% of the elasticity of the threshold for the parameter choices examined). Equilibrium disease levels were examined under the assumption of a constant tick population; these levels were determined as a function of tick and mouse density, the vertical transmission rate, the infectivity of mice, and the survivorship parameters of the ticks and of the tick-host contact rates. Vertical transmission has a disproportionately large effect, since unfed infected larval ticks have two opportunities to feed on mice, rather than only one opportunity (as for a newly infected unfed nymph). Finally, a global sensitivity analysis based on Latin hypercube sampling is performed, in which is shown the importance of quantifying the natural history of infection in mice, and of elucidating the contribution of other hosts for I. scapularis than mice.

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Mesh:

Year:  1999        PMID: 10520492

Source DB:  PubMed          Journal:  IMA J Math Appl Med Biol        ISSN: 0265-0746


  10 in total

1.  Bayesian data assimilation provides rapid decision support for vector-borne diseases.

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Journal:  J R Soc Interface       Date:  2015-07-06       Impact factor: 4.118

2.  Long-term survival of Borrelia burgdorferi lacking the hibernation promotion factor homolog in the unfed tick vector.

Authors:  Lisa Fazzino; Kit Tilly; Daniel P Dulebohn; Patricia A Rosa
Journal:  Infect Immun       Date:  2015-10-05       Impact factor: 3.441

3.  Persistence of pathogens with short infectious periods in seasonal tick populations: the relative importance of three transmission routes.

Authors:  Etsuko Nonaka; Gregory D Ebel; Helen J Wearing
Journal:  PLoS One       Date:  2010-07-23       Impact factor: 3.240

4.  Conspicuous impacts of inconspicuous hosts on the Lyme disease epidemic.

Authors:  Dustin Brisson; Daniel E Dykhuizen; Richard S Ostfeld
Journal:  Proc Biol Sci       Date:  2008-01-22       Impact factor: 5.349

5.  Impact of biodiversity and seasonality on Lyme-pathogen transmission.

Authors:  Yijun Lou; Jianhong Wu; Xiaotian Wu
Journal:  Theor Biol Med Model       Date:  2014-11-28       Impact factor: 2.432

Review 6.  Modeling Lyme disease transmission.

Authors:  Yijun Lou; Jianhong Wu
Journal:  Infect Dis Model       Date:  2017-05-19

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

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
Journal:  Can J Infect Dis Med Microbiol       Date:  2019-09-16       Impact factor: 2.471

8.  Host Specialisation, Immune Cross-Reaction and the Composition of Communities of Co-circulating Borrelia Strains.

Authors:  Ben Adams; Katharine S Walter; Maria A Diuk-Wasser
Journal:  Bull Math Biol       Date:  2021-05-03       Impact factor: 1.758

9.  An eco-epidemiological modeling approach to investigate dilution effect in two different tick-borne pathosystems.

Authors:  Flavia Occhibove; Kim Kenobi; Martin Swain; Claire Risley
Journal:  Ecol Appl       Date:  2022-03-16       Impact factor: 6.105

10.  Mathematical Modeling for Scrub Typhus and Its Implications for Disease Control.

Authors:  Kyung Duk Min; Sung Il Cho
Journal:  J Korean Med Sci       Date:  2018-03-19       Impact factor: 5.354

  10 in total

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