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
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 -