Mathematical modelling of transmission: A systematic review.

BACKGROUND

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 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 , 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 . These studies were categorized into four groups based on the primary aims: dynamics of transmission ( = 8), intervention ( = 5), spatial distribution ( = 1), and outbreak investigation (n = 1).

CONCLUSIONS

Considering the high disease burden caused by , 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 infection.