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. 2022 Jun 29;76(4):704–712. doi: 10.1093/cid/ciac527

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© The Author(s) 2022. Published by Oxford University Press on behalf of the Infectious Diseases Society of America.

This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

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Figure 3. — Relationship and predictors of oocyst density and prevalence. The relationship between oocyst density (the average number of oocysts per feeding assay) and (A) Pfs16 and (B) Pfs25 RT-qPCR Ct is shown for both DFA and MFA. A linear relationship was found to best explain the relationship in both panels A and B, although this was within 2 AIC differences compared with a power law relationship. A significant correlation is observed between oocyst density and Ct in MFA but not DFA (Pfs16 Ct [MFA: P = .002; DFA: P = .509] and Pfs25 Ct [MFA: P = .040; DFA: P = .262]). In panel C, a significant logistic relationship observed between oocyst prevalence (proportion of mosquitoes with at least 1 oocyst per feeding assay) is shown to be positively correlated against oocyst density (P < .001). In panel D, factors significantly associated (P < .05) with oocyst prevalence are shown in red, indicating oocyst prevalence is significantly higher during months with higher parasite prevalence and from submicroscopic sexual infections. The aORs and 95% CIs are shown on the right. Abbreviations: aOR, adjusted odds ratio; CI, confidence interval; Ct, cycle threshold; DFA, direct skin feeding assay; MFA, membrane feeding assay; RT-qPCR, reverse transcriptasereal-time quantitative polymerase chain reaction.