TY  - JOUR
AU  - Deng, Huifang
AU  - Cummins, Rachel
AU  - Schares, Gereon
AU  - Trevisan, Chiara
AU  - Enemark, Heidi
AU  - Waap, Helga
AU  - Srbljanović, Jelena
AU  - Đurković-Đaković, Olgica
AU  - Pires, Sara Monteiro
AU  - van der Giessen, Joke
AU  - Opsteegh, Marieke
PY  - 2021
UR  - http://rimi.imi.bg.ac.rs/handle/123456789/1080
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.
T2  - Food & Waterborne Parasitology
T1  - Mathematical modelling of Toxoplasma gondii transmission: A systematic review
SP  - e00102
VL  - 22
DO  - 10.1016/j.fawpar.2020.e00102
ER  - 

@article{
author = "Deng, Huifang and Cummins, Rachel and Schares, Gereon and Trevisan, Chiara and Enemark, Heidi and Waap, Helga and Srbljanović, Jelena and Đurković-Đaković, Olgica and Pires, Sara Monteiro and van der Giessen, Joke and Opsteegh, Marieke",
year = "2021",
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.",
journal = "Food & Waterborne Parasitology",
title = "Mathematical modelling of Toxoplasma gondii transmission: A systematic review",
pages = "e00102",
volume = "22",
doi = "10.1016/j.fawpar.2020.e00102"
}

Deng, H., Cummins, R., Schares, G., Trevisan, C., Enemark, H., Waap, H., Srbljanović, J., Đurković-Đaković, O., Pires, S. M., van der Giessen, J.,& Opsteegh, M.. (2021). Mathematical modelling of Toxoplasma gondii transmission: A systematic review. in Food & Waterborne Parasitology, 22, e00102.
https://doi.org/10.1016/j.fawpar.2020.e00102

Deng H, Cummins R, Schares G, Trevisan C, Enemark H, Waap H, Srbljanović J, Đurković-Đaković O, Pires SM, van der Giessen J, Opsteegh M. Mathematical modelling of Toxoplasma gondii transmission: A systematic review. in Food & Waterborne Parasitology. 2021;22:e00102.
doi:10.1016/j.fawpar.2020.e00102 .

Deng, Huifang, Cummins, Rachel, Schares, Gereon, Trevisan, Chiara, Enemark, Heidi, Waap, Helga, Srbljanović, Jelena, Đurković-Đaković, Olgica, Pires, Sara Monteiro, van der Giessen, Joke, Opsteegh, Marieke, "Mathematical modelling of Toxoplasma gondii transmission: A systematic review" in Food & Waterborne Parasitology, 22 (2021):e00102,
https://doi.org/10.1016/j.fawpar.2020.e00102 . .