Mathematical modelling of Toxoplasma gondii transmission: a systematic review

Huifang Deng; Rachel Cummins; Gereon Schares; Chiara Trevisan; Heidi Enemark; Helga Waap; Jelena Srbljanovic; Olgica Djurkovic-Djakovic; Sara Monteiro Pires; Joke W. B. van der Giessen; Marieke Opsteegh

doi:10.1016/j.fawpar.2020.e00102

Mathematical modelling of Toxoplasma gondii transmission: a systematic review

Huifang Deng, Rachel Cummins, Gereon Schares, Chiara Trevisan, Heidi Enemark, Helga Waap, Jelena Srbljanovic, Olgica Djurkovic-Djakovic, Sara Monteiro Pires, Joke W. B. van der Giessen, Marieke Opsteegh

Research output: Contribution to journal › A1: Web of Science-article › peer-review

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Abstract

Background: Toxoplasma gondii is a ubiquitous protozoan parasite that can infect virtually all warm-blooded animals. It is the causative agent of toxoplasmosis, a significant public health issue worldwide. Mathematical models are useful to study the transmission dynamics of T. gondii infection in different settings, and may be used to compare the effectiveness of prevention measures.

Methods: To obtain an overview of existing mathematical models for transmission of T. gondii, a systematic review was undertaken. The review was conducted according to an a priori protocol and the results were reported according to the PRISMA guidelines. Specific search terms were developed and used in the search of three databases (Scopus, PubMed, and Embase).

Results: In total, 484 unique records were retrieved from the systematic search. Among them, 15 studies that used mathematical models to study the transmission of T. gondii. These studies were categorized into four groups based on the primary aims: dynamics of transmission ( n = 8), intervention ( n = 5), spatial distribution ( n = 1), and outbreak investigation (n = 1).

Conclusions: Considering the high disease burden caused by T. gondii, the number of studies using mathematical models to understand the transmission dynamics of this parasite and to evaluate the effectiveness of intervention measures was only 15. This systematic review provides an overview of existing mathematical models and identifies the data gaps for model building. The results from this study can be helpful for further development of mathematical models and improved understanding of the transmission dynamics of T. gondii infection.

Original language	English
Article number	00102
Journal	Food and Waterborne Parasitology
Volume	22
Number of pages	11
ISSN	2405-6766
DOIs	https://doi.org/10.1016/j.fawpar.2020.e00102
Publication status	Published - 2021

Keywords

Zoonoses
Mathematical model
Toxoplasmosis
Transmission
Modelling
COUPLING WITHIN-HOST
RURAL AREA
DYNAMICS
OOCYSTS
INFECTION
OUTBREAK
DISEASE
CATS
BIFURCATIONS
STRATEGIES

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2021fwpae00102Final published version, 0.99 MBLicence: CC BY-NC-ND

Cite this

@article{7c1d2195f1d846808a80b2b1b9b2faeb,

title = "Mathematical modelling of Toxoplasma gondii transmission: a systematic review",

abstract = "Background: Toxoplasma gondii is a ubiquitous protozoan parasite that can infect virtually all warm-blooded animals. It is the causative agent of toxoplasmosis, a significant public health issue worldwide. Mathematical models are useful to study the transmission dynamics of T. gondii infection in different settings, and may be used to compare the effectiveness of prevention measures. Methods: To obtain an overview of existing mathematical models for transmission of T. gondii, a systematic review was undertaken. The review was conducted according to an a priori protocol and the results were reported according to the PRISMA guidelines. Specific search terms were developed and used in the search of three databases (Scopus, PubMed, and Embase). Results: In total, 484 unique records were retrieved from the systematic search. Among them, 15 studies that used mathematical models to study the transmission of T. gondii. These studies were categorized into four groups based on the primary aims: dynamics of transmission ( n = 8), intervention ( n = 5), spatial distribution ( n = 1), and outbreak investigation (n = 1). Conclusions: Considering the high disease burden caused by T. gondii, the number of studies using mathematical models to understand the transmission dynamics of this parasite and to evaluate the effectiveness of intervention measures was only 15. This systematic review provides an overview of existing mathematical models and identifies the data gaps for model building. The results from this study can be helpful for further development of mathematical models and improved understanding of the transmission dynamics of T. gondii infection. ",

keywords = "Zoonoses, Mathematical model, Toxoplasmosis, Transmission, Modelling, COUPLING WITHIN-HOST, RURAL AREA, DYNAMICS, OOCYSTS, INFECTION, OUTBREAK, DISEASE, CATS, BIFURCATIONS, STRATEGIES",

author = "Huifang Deng and Rachel Cummins and Gereon Schares and Chiara Trevisan and Heidi Enemark and Helga Waap and Jelena Srbljanovic and Olgica Djurkovic-Djakovic and Pires, {Sara Monteiro} and {van der Giessen}, {Joke W. B.} and Marieke Opsteegh",

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year = "2021",

doi = "10.1016/j.fawpar.2020.e00102",

language = "English",

volume = "22",

journal = "Food and Waterborne Parasitology",

issn = "2405-6766",

publisher = "Elsevier",

}

Mathematical modelling of Toxoplasma gondii transmission: a systematic review. / Deng, Huifang; Cummins, Rachel; Schares, Gereon; Trevisan, Chiara; Enemark, Heidi; Waap, Helga; Srbljanovic, Jelena; Djurkovic-Djakovic, Olgica; Pires, Sara Monteiro; van der Giessen, Joke W. B.; Opsteegh, Marieke.

In: Food and Waterborne Parasitology, Vol. 22, 00102, 2021.

Research output: Contribution to journal › A1: Web of Science-article › peer-review

TY - JOUR

T1 - Mathematical modelling of Toxoplasma gondii transmission: a systematic review

AU - Deng, Huifang

AU - Cummins, Rachel

AU - Schares, Gereon

AU - Trevisan, Chiara

AU - Enemark, Heidi

AU - Waap, Helga

AU - Srbljanovic, Jelena

AU - Djurkovic-Djakovic, Olgica

AU - Pires, Sara Monteiro

AU - van der Giessen, Joke W. B.

AU - Opsteegh, Marieke

N1 - FTX; DOAJ; (CC BY-NC-ND 4.0)

PY - 2021

Y1 - 2021

N2 - Background: Toxoplasma gondii is a ubiquitous protozoan parasite that can infect virtually all warm-blooded animals. It is the causative agent of toxoplasmosis, a significant public health issue worldwide. Mathematical models are useful to study the transmission dynamics of T. gondii infection in different settings, and may be used to compare the effectiveness of prevention measures. Methods: To obtain an overview of existing mathematical models for transmission of T. gondii, a systematic review was undertaken. The review was conducted according to an a priori protocol and the results were reported according to the PRISMA guidelines. Specific search terms were developed and used in the search of three databases (Scopus, PubMed, and Embase). Results: In total, 484 unique records were retrieved from the systematic search. Among them, 15 studies that used mathematical models to study the transmission of T. gondii. These studies were categorized into four groups based on the primary aims: dynamics of transmission ( n = 8), intervention ( n = 5), spatial distribution ( n = 1), and outbreak investigation (n = 1). Conclusions: Considering the high disease burden caused by T. gondii, the number of studies using mathematical models to understand the transmission dynamics of this parasite and to evaluate the effectiveness of intervention measures was only 15. This systematic review provides an overview of existing mathematical models and identifies the data gaps for model building. The results from this study can be helpful for further development of mathematical models and improved understanding of the transmission dynamics of T. gondii infection.

AB - Background: Toxoplasma gondii is a ubiquitous protozoan parasite that can infect virtually all warm-blooded animals. It is the causative agent of toxoplasmosis, a significant public health issue worldwide. Mathematical models are useful to study the transmission dynamics of T. gondii infection in different settings, and may be used to compare the effectiveness of prevention measures. Methods: To obtain an overview of existing mathematical models for transmission of T. gondii, a systematic review was undertaken. The review was conducted according to an a priori protocol and the results were reported according to the PRISMA guidelines. Specific search terms were developed and used in the search of three databases (Scopus, PubMed, and Embase). Results: In total, 484 unique records were retrieved from the systematic search. Among them, 15 studies that used mathematical models to study the transmission of T. gondii. These studies were categorized into four groups based on the primary aims: dynamics of transmission ( n = 8), intervention ( n = 5), spatial distribution ( n = 1), and outbreak investigation (n = 1). Conclusions: Considering the high disease burden caused by T. gondii, the number of studies using mathematical models to understand the transmission dynamics of this parasite and to evaluate the effectiveness of intervention measures was only 15. This systematic review provides an overview of existing mathematical models and identifies the data gaps for model building. The results from this study can be helpful for further development of mathematical models and improved understanding of the transmission dynamics of T. gondii infection.

KW - Zoonoses

KW - Mathematical model

KW - Toxoplasmosis

KW - Transmission

KW - Modelling

KW - COUPLING WITHIN-HOST

KW - RURAL AREA

KW - DYNAMICS

KW - OOCYSTS

KW - INFECTION

KW - OUTBREAK

KW - DISEASE

KW - CATS

KW - BIFURCATIONS

KW - STRATEGIES

U2 - 10.1016/j.fawpar.2020.e00102

DO - 10.1016/j.fawpar.2020.e00102

M3 - A1: Web of Science-article

C2 - 33364472

VL - 22

JO - Food and Waterborne Parasitology

JF - Food and Waterborne Parasitology

SN - 2405-6766

M1 - 00102

ER -