Mathematical modelling of Toxoplasma gondii transmission: A systematic review

2021
Authors
Deng, HuifangCummins, Rachel
Schares, Gereon

Trevisan, Chiara

Enemark, Heidi
Waap, Helga
Srbljanović, Jelena

Đurković-Đaković, Olgica

Pires, Sara Monteiro
van der Giessen, Joke
Opsteegh, Marieke
Article (Published version)
Metadata
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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:
Mathematical model / Modelling / Toxoplasmosis / Transmission / ZoonosesSource:
Food & Waterborne Parasitology, 2021, 22, e00102-Funding / projects:
- European Cooperation in Science and Technology (COST) Action FA1408: A European Network for Foodborne Parasites (Euro-FBP)
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Institut za medicinska istraživanjaTY - 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 UR - conv_5063 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", url = "conv_5063" }
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 conv_5063
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 conv_5063 .
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 ., conv_5063 .