Literature DB >> 1437275

Mathematical modelling and theory for estimating the basic reproduction number of canine leishmaniasis.

G Hasibeder1, C Dye, J Carpenter.   

Abstract

The paper describes a mathematical model for canine leishmaniasis and presents formulae which can be used to estimate the basic reproduction number, R0. The primary concern has been to devise methods of estimation which make best use of those data most easily obtained by fieldwork, e.g. surveys of prevalence in dog (by age) and sandfly populations. A range of formulae are offered which are more or less demanding of data, and which consequently give more or less precise estimates of R0. They include methods for assessing the influence on R0 of heterogeneous biting rates of sandflies on dogs, in which the essence of heterogeneous transmission can be captured merely by measuring relative rather than absolute contact rates.

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Year:  1992        PMID: 1437275     DOI: 10.1017/s0031182000073674

Source DB:  PubMed          Journal:  Parasitology        ISSN: 0031-1820            Impact factor:   3.234


  11 in total

1.  Prevalence of Leishmania infantum infection in dogs living in an area of canine leishmaniasis endemicity using PCR on several tissues and serology.

Authors:  L Solano-Gallego; P Morell; M Arboix; J Alberola; L Ferrer
Journal:  J Clin Microbiol       Date:  2001-02       Impact factor: 5.948

2.  Asymptomatic canine leishmaniasis in Greater Athens area, Greece.

Authors:  V Sideris; G Papadopoulou; E Dotsika; E Karagouni
Journal:  Eur J Epidemiol       Date:  1999-03       Impact factor: 8.082

3.  The epidemic threshold of vector-borne diseases with seasonality: the case of cutaneous leishmaniasis in Chichaoua, Morocco.

Authors:  Nicolas Bacaër; Souad Guernaoui
Journal:  J Math Biol       Date:  2006-07-05       Impact factor: 2.259

4.  Epidemiology of canine leishmaniasis in the Madrid region, Spain.

Authors:  C Amela; I Mendez; J M Torcal; G Medina; I Pachón; C Cañavate; J Alvar
Journal:  Eur J Epidemiol       Date:  1995-04       Impact factor: 8.082

5.  Serological diagnosis of leishmaniasis: on detecting infection as well as disease.

Authors:  C Dye; E Vidor; J Dereure
Journal:  Epidemiol Infect       Date:  1993-06       Impact factor: 2.451

6.  Bayesian compartmental model for an infectious disease with dynamic states of infection.

Authors:  Marie V Ozanne; Grant D Brown; Jacob J Oleson; Iraci D Lima; Jose W Queiroz; Selma M B Jeronimo; Christine A Petersen; Mary E Wilson
Journal:  J Appl Stat       Date:  2018-10-10       Impact factor: 1.404

7.  Culling dogs in scenarios of imperfect control: realistic impact on the prevalence of canine visceral leishmaniasis.

Authors:  Danielle N C C Costa; Cláudia T Codeço; Moacyr A Silva; Guilherme L Werneck
Journal:  PLoS Negl Trop Dis       Date:  2013-08-08

8.  Modelling canine leishmaniasis spread to non-endemic areas of Europe.

Authors:  L A Espejo; S Costard; F J Zagmutt
Journal:  Epidemiol Infect       Date:  2014-10-27       Impact factor: 4.434

Review 9.  Challenges in modeling complexity of neglected tropical diseases: a review of dynamics of visceral leishmaniasis in resource limited settings.

Authors:  Swati DebRoy; Olivia Prosper; Austin Mishoe; Anuj Mubayi
Journal:  Emerg Themes Epidemiol       Date:  2017-09-18

10.  A Comparative Assessment of Epidemiologically Different Cutaneous Leishmaniasis Outbreaks in Madrid, Spain and Tolima, Colombia: An Estimation of the Reproduction Number via a Mathematical Model.

Authors:  Anuj Mubayi; Marlio Paredes; Juan Ospina
Journal:  Trop Med Infect Dis       Date:  2018-04-19
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