PLoS ONE (Jan 2023)

Global epidemiology and spatial distribution of Toxoplasma gondii in goats: Protocol for a systematic review and Bayesian hierarchical meta-analysis.

  • Afsaneh Amouei,
  • Azadeh Mizani,
  • Ahmad Ali Hanafi-Bojd,
  • Tohid Jafari-Koshki,
  • Shahabeddin Sarvi,
  • Sargis A Aghayan,
  • Fateme Amuei,
  • Tooran Nayeri Chegeni,
  • Ahmad Daryani

DOI
https://doi.org/10.1371/journal.pone.0290012
Journal volume & issue
Vol. 18, no. 12
p. e0290012

Abstract

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BackgroundToxoplasma gondii, a cosmopolitan protozoan parasite causes toxoplasmosis in humans and many species of domestic and wild animals. T. gondii instigates significant economic losses in sheep and goat farming industry and can lead to abortion, stillbirth, congenital malformations and neonatal losses. The objective of this protocol is to evaluate worldwide seroprevalence of T. gondii exposure in goats using Bayesian hierarchical meta-analysis and geographic information system (GIS).MethodsA comprehensive literature search will be conducted using search engines, including Web of Science, ScienceDirect, Scopus, PubMed, ProQuest, EMBASE, PROSPERO Register and, Google Scholar without date and language restrictions. The authors search for cross-sectional studies that determine the seroprevalence of T. gondii in goats. Two reviewers will independently screen, selected studies; also, they will extract data, and assess the risk of bias. In case(s) of disagreement, a consensus will be reached with the help of a third author. The Bayesian hierarchical meta-analysis will use to estimate country and worldwide true seroprevalence of T. gondii, which is consist of the sensitivity and specificity of the applied serological assays. The obtained data will be used to identify country-level risk factors associated with T. gondii exposure using GIS in the ArcGIS software.DiscussionThe systematic review produced from this protocol will provide the true prevalence rate and spatial distribution T. gondii exposure in goats both regionally and globally using Bayesian hierarchical and GIS analysis.Systematic review registrationPROSPERO registration number: CRD42020107928.