Modelling parasite aggregation: disentangling statistical and ecological approaches

Laith Yakob; Ricardo J. Soares Magalhães; Darren J. Gray; Gabriel Milinovich; Nicola Wardrop; Rebecca Dunning; Jan Barendregt; Franziska Bieri; Gail M. Williams; Archie C.A. Clements

doi:10.1016/j.ijpara.2014.02.008

Modelling parasite aggregation: disentangling statistical and ecological approaches

Laith Yakob^*, Ricardo J. Soares Magalhães, Darren J. Gray, Gabriel Milinovich, Nicola Wardrop, Rebecca Dunning, Jan Barendregt, Franziska Bieri, Gail M. Williams, Archie C.A. Clements

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

10 Citations (Scopus)

Abstract

The overdispersion in macroparasite infection intensity among host populations is commonly simulated using a constant negative binomial aggregation parameter. We describe an alternative to utilising the negative binomial approach and demonstrate important disparities in intervention efficacy projections that can come about from opting for pattern-fitting models that are not process-explicit. We present model output in the context of the epidemiology and control of soil-transmitted helminths due to the significant public health burden imposed by these parasites, but our methods are applicable to other infections with demonstrable aggregation in parasite numbers among hosts.

Original language	English
Pages (from-to)	339-342
Number of pages	4
Journal	International Journal for Parasitology
Volume	44
Issue number	6
Early online date	01 Apr 2014
DOIs	https://doi.org/10.1016/j.ijpara.2014.02.008
Publication status	Published - May 2014
Externally published	Yes

Keywords

Infection transmission
Intervention
Mathematical model
MDA
Scenario analysis
Soil transmitted helminths

ASJC Scopus subject areas

Parasitology
Infectious Diseases

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.ijpara.2014.02.008Licence: Unspecified

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title = "Modelling parasite aggregation: disentangling statistical and ecological approaches",

abstract = "The overdispersion in macroparasite infection intensity among host populations is commonly simulated using a constant negative binomial aggregation parameter. We describe an alternative to utilising the negative binomial approach and demonstrate important disparities in intervention efficacy projections that can come about from opting for pattern-fitting models that are not process-explicit. We present model output in the context of the epidemiology and control of soil-transmitted helminths due to the significant public health burden imposed by these parasites, but our methods are applicable to other infections with demonstrable aggregation in parasite numbers among hosts.",

keywords = "Infection transmission, Intervention, Mathematical model, MDA, Scenario analysis, Soil transmitted helminths",

author = "Laith Yakob and {Soares Magalh{\~a}es}, {Ricardo J.} and Gray, {Darren J.} and Gabriel Milinovich and Nicola Wardrop and Rebecca Dunning and Jan Barendregt and Franziska Bieri and Williams, {Gail M.} and Clements, {Archie C.A.}",

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doi = "10.1016/j.ijpara.2014.02.008",

language = "English",

volume = "44",

pages = "339--342",

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T1 - Modelling parasite aggregation: disentangling statistical and ecological approaches

AU - Yakob, Laith

AU - Soares Magalhães, Ricardo J.

AU - Gray, Darren J.

AU - Milinovich, Gabriel

AU - Wardrop, Nicola

AU - Dunning, Rebecca

AU - Barendregt, Jan

AU - Bieri, Franziska

AU - Williams, Gail M.

AU - Clements, Archie C.A.

PY - 2014/5

Y1 - 2014/5

N2 - The overdispersion in macroparasite infection intensity among host populations is commonly simulated using a constant negative binomial aggregation parameter. We describe an alternative to utilising the negative binomial approach and demonstrate important disparities in intervention efficacy projections that can come about from opting for pattern-fitting models that are not process-explicit. We present model output in the context of the epidemiology and control of soil-transmitted helminths due to the significant public health burden imposed by these parasites, but our methods are applicable to other infections with demonstrable aggregation in parasite numbers among hosts.

AB - The overdispersion in macroparasite infection intensity among host populations is commonly simulated using a constant negative binomial aggregation parameter. We describe an alternative to utilising the negative binomial approach and demonstrate important disparities in intervention efficacy projections that can come about from opting for pattern-fitting models that are not process-explicit. We present model output in the context of the epidemiology and control of soil-transmitted helminths due to the significant public health burden imposed by these parasites, but our methods are applicable to other infections with demonstrable aggregation in parasite numbers among hosts.

KW - Infection transmission

KW - Intervention

KW - Mathematical model

KW - MDA

KW - Scenario analysis

KW - Soil transmitted helminths

U2 - 10.1016/j.ijpara.2014.02.008

DO - 10.1016/j.ijpara.2014.02.008

M3 - Article

C2 - 24703868

AN - SCOPUS:84899931307

SN - 0020-7519

VL - 44

SP - 339

EP - 342

JO - International Journal for Parasitology

JF - International Journal for Parasitology

IS - 6

ER -

Modelling parasite aggregation: disentangling statistical and ecological approaches

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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