Lome Hurtado, Alejandro

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Lome Hurtado, Alejandro
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Lome Hurtado, Alejandro
ORCID
000-0003-1241-4553

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    How water quality affects perceived risk of waterborne disease: evidence from Zapopan, Mexico
    (Springer Science and Business Media LLC, 2026-02-06)
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    Background Access to safe and clean drinking water is a key determinant of public health and well-being. This study explores the relationship between perceived unpleasant odor of tap water (as a proxy of water quality) and perception of health risks from tap water, in low- and middle-income areas of Mexico, emphasizing the role of perceptions shaped by sensory indicators such as taste, color, and odor. The connection between perceived unpleasant odor of tap water and perceived risk warrants attention as a public health concern, given its potential to influence consumer behavior, risk exposure, and trust in health-related products and services. Methods The analysis draws on household survey data collected through face-to-face interviews in Zapopan, Jalisco, Mexico, in October 2018, complemented with a review of existing literature. Statistical regression models were executed to assess the association between perceived water quality and perceived health risk from drinking tap water. Results The analysis shows that households perceiving an unpleasant odor in tap water had 29% higher odds of identifying it as a health risk (OR = 1.29), controlling for socioeconomic and demographic conditions. Conclusions The findings underscore the need for public health interventions that address both actual and perceived water quality. Integrated water policies should prioritize equity, strengthen community trust, and incorporate engagement strategies to mitigate health risks linked to water insecurity.
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    When Space and Time Matter in Environmental Injustice: A Bayesian Analysis of the Association between Socio-economic Disadvantage and Air Pollution in Greater Mexico City
    (Springer, 2023)
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    Touza, Julia
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    White, Piran C. L.
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    McClean, Colin J.
    Environmental injustice refers to the unequal burden of pollutants on groups with lower socioeconomic status. An increasing number of studies have identified associations between high levels of pollution and socioeconomic disadvantage. However, few studies have controlled adequately for spatio-temporal variations in pollution. This study uses a Bayesian approach to explore the association between socioeconomic disadvantage and pollution in Mexico City Metropolitan Area. We quantify the association of socioeconomic disadvantage with PM10 and ozone and evaluate the impact of accounting for spatio-temporal structure of the pollution data. We find a significant positive association between socio-economic disadvantage and pollution for levels of PM10, but not ozone. The inclusion of the spatio-temporal element in the modeling results in improved weaker estimates of this association but this does not alter results substantially. These findings confirm the robustness of previous studies that found signs of environmental injustice where spatio-temporal variations have not been explicitly considered, confirming that targeted policies to reduce pollution in socio-economically disadvantaged areas are required. © 2024 Springer Nature
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