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Meta-Analysis
. 2025 Jan 17;25(1):194.
doi: 10.1186/s12889-025-21317-2.

Seroprevalence of anti-ToxoplasmaIgG among the human population in Indonesia: a systematic review and meta-analysis

Affiliations
Meta-Analysis

Seroprevalence of anti-ToxoplasmaIgG among the human population in Indonesia: a systematic review and meta-analysis

Taufik Mulya Perdana et al. BMC Public Health. .

Abstract

Background: Toxoplasma gondii is a ubiquitous parasite that can cause significant complications when it infects pregnant women and immunocompromised patients. These complications include miscarriage, fetal abnormalities, and fatal cerebral toxoplasmosis. Despite its significance, the true burden of toxoplasmosis in Indonesia remains underexplored. Toxoplasmosis is usually diagnosed by detecting anti-Toxoplasma antibodies, especially IgG. Therefore, we aim to assess the seroprevalence of anti-Toxoplasma IgG among the human population in Indonesia. In addition, we assessed whether the seroprevalence differed across geographical regions, populations, or population risk levels. Its correlation with annual precipitation was also assessed.

Methods: Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, we conducted a systematic review and meta-analysis of data retrieved from PubMed, Portal Garuda, Neliti, and Onesearch.id. Additionally, Google Scholar, government repositories, and the reference list of studies were searched for additional data. We pooled seroprevalence data using the inverse-variance method and a random effects model. Heterogeneity was assessed using I2 statistics and Cochran's Q test. Risk-of-Bias (RoB) was evaluated using the Joanna Briggs Institute Checklist for Prevalence Studies. Publication bias was assessed using Doi plots and the Luis Furuya-Kanamori (LFK) index. We performed subgroup analysis, meta-regression, and sensitivity analysis to explore source heterogeneity and the robustness of the pooled estimates. We used Spearman's rank correlation coefficient to assess the correlation between seroprevalence and annual precipitation.

Result: In total, 56 studies were included in this study. The adjusted seroprevalence of anti-Toxoplasma IgG was 60.06% (95% CI: 52.22-67.65%). Study location and detection method were detected as significant sources of heterogeneity by subgroup analysis but not meta-regression. However, subgroup analysis and meta-regression identified the study population and population risk level as significant sources of heterogeneity. Publication year, sample size, and RoB were identified as non-significant moderators. Seroprevalence did not correlate with annual precipitation.

Conclusion: Toxoplasmosis is highly prevalent among the human population in Indonesia; however, our study mainly relied on studies with small sample sizes. Furthermore, most of the studies were performed in Java; therefore, some high-quality population-based studies must be conducted in other regions of Indonesia to better estimate the prevalence of toxoplasmosis across the country.

Keywords: Toxoplasma gondii; Meta-analysis; Seroprevalence; Systematic Review.

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Conflict of interest statement

Declarations. Ethics approval and consent to participate: Not applicable. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
PRISMA flow diagram. Of the 5,221 identified records, 56 were included
Fig. 2
Fig. 2
Forest plot depicting the pooled seroprevalence of toxoplasmosis in Indonesia
Fig. 3
Fig. 3
Geographical map of seroprevalence rates of toxoplasmosis by regions
Fig. 4
Fig. 4
A Doi plot examining the risk of publication bias for the seroprevalence of toxoplasmosis. Note the left-side asymmetry as indicated by the LFK index
Fig. 5
Fig. 5
A Doi plot examining the risk of publication bias for the seroprevalence of toxoplasmosis corrected using the trim-and-fill method
Fig. 6
Fig. 6
Scatterplots with trend line depicting the correlation between toxoplasmosis seroprevalence and national (A) and local (B) annual precipitation data

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