<mods:mods version="3.3" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><mods:titleInfo><mods:title>Exploring aflatoxin contamination and household-level exposure risk in diverse Indian food systems</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">K</mods:namePart><mods:namePart type="family">Audenaert</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">A</mods:namePart><mods:namePart type="family">Wenndt</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">H K</mods:namePart><mods:namePart type="family">Sudini</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">P</mods:namePart><mods:namePart type="family">Pingali</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">R</mods:namePart><mods:namePart type="family">Nelson</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>The present study sought to identify household risk factors associated with aflatoxin contamination&#13;
within and across diverse Indian food systems and to evaluate their utility in risk&#13;
modeling. Samples (n = 595) of cereals, pulses, and oil seeds were collected from 160&#13;
households across four diverse districts of India and analyzed for aflatoxin B1 using&#13;
enzyme-linked immunosorbent assay (ELISA). Demographic information, food and cropping&#13;
systems, food management behaviors, and storage environments were profiled for&#13;
each household. An aflatoxin detection risk index was developed based on household-level&#13;
features and validated using a repeated 5-fold cross-validation approach. Across districts,&#13;
between 30–80% of households yielded at least one contaminated sample. Aflatoxin B1&#13;
detection rates and mean contamination levels were highest in groundnut and maize,&#13;
respectively, and lower in other crops. Landholding had a positive univariate effect on&#13;
household aflatoxin detection, while storage conditions, product source, and the number of&#13;
protective behaviors used by households did not show significant effects. Presence of&#13;
groundnut, post-harvest grain washing, use of sack-based storage systems, and cultivation&#13;
status (farming or non-farming) were identified as the most contributive variables in stepwise&#13;
logistic regression and were used to generate a household-level risk index. The index had&#13;
moderate classification accuracy (68% sensitivity and 62% specificity) and significantly correlated&#13;
with village-wise aflatoxin detection rates. Spatial analysis revealed utility of the&#13;
index for identifying at-risk localities and households. This study identified several key features&#13;
associated with aflatoxin contamination in Indian food systems and demonstrated that&#13;
household characteristics are substantially predictive of aflatoxin risk.</mods:abstract><mods:classification authority="lcc">Aflatoxins</mods:classification><mods:originInfo><mods:dateIssued encoding="iso8061">2020-10</mods:dateIssued></mods:originInfo><mods:originInfo><mods:publisher>Public Library of Science</mods:publisher></mods:originInfo><mods:genre>Article</mods:genre></mods:mods>