However, estimates of anti-TgERP IgG duration did not fall within a plausible range until approximately 80% of infections were assumed to be oocyst-derived (ie, for Propylparaben results from this serological assayand its potential use as an epidemiological tool to understand horizontal transmissionis hindered by the presumed short duration (6C8 months) of anti-TgERP immunoglobulin G (IgG) antibodies. However, recent serosurvey data [19, 20] showing a relatively high seroprevalence of anti-TgERP IgG, compared to non-stage-specific IgG, casts doubt on the transience of anti-TgERP IgG [21C23]. Mathematical modeling, by capturing the processes driving infection dynamics in populations, can help resolve this Propylparaben paradox and hence, in this context, can be used as a tool to estimate the duration of anti-TgERP IgG antibodies from seroprevalence data. Here, we present a serocatalytic mathematical model that we fit to seroprevalence data from an endemic region of Brazil. We estimate the duration of anti-TgERP IgG antibodies and ageCforce of infection profiles and provide comprehensive sensitivity analyses to confirm the robustness of our findings to key assumptions. We discuss how the expanded use of TgERP serology in epidemiological studies will improve our understanding Rabbit Polyclonal to PLG of the transmission dynamics of and we highlight its potential as an epidemiological tool to inform the design of tailored, setting-specific public health initiatives. METHODS Epidemiological Setting and Serological Data Age-stratified data on serum antiCnon-stage-specific IgG and anti-TgERP IgG were identified by searching Google Scholar, Web of Science, and PubMed using the terms OR OR infection is highly endemic and primarily associated with the oocyst route of infection [17]. One dataset was generated using a stratified sampling approach to collect blood samples from individuals.