Disparities in digital reporting of illness: A demographic and socioeconomic assessment

Preventive Medicine
Samuel HenlyElaine O Nsoesie

Abstract

Although digital reports of disease are currently used by public health officials for disease surveillance and decision making, little is known about environmental factors and compositional characteristics that may influence reporting patterns. The objective of this study is to quantify the association between climate, demographic and socio-economic factors on digital reporting of disease at the US county level. We reference approximately 1.5 million foodservice business reviews between 2004 and 2014, and use census data, machine learning methods and regression models to assess whether digital reporting of disease is associated with climate, socio-economic and demographic factors. The results show that reviews of foodservice businesses and digital reports of foodborne illness follow a clear seasonal pattern with higher reporting observed in the summer, when most foodborne outbreaks are reported and to a lesser extent in the winter months. Additionally, factors typically associated with affluence (such as, higher median income and fraction of the population with a bachelor's degrees) were positively correlated with foodborne illness reports. However, restaurants per capita and education were the most significant predictors of il...Continue Reading

Citations

Jan 28, 2020·JAMIA Open·Adyasha MaharanaElaine O Nsoesie
Jul 31, 2019·Current Epidemiology Reports·Stephen J Mooney, Michael D Garber
Mar 26, 2021·Scientific Reports·Elaine O NsoesieMartial L Ndeffo-Mbah
Apr 30, 2021·JMIR Public Health and Surveillance·Olubusola OladejiElaine O Nsoesie
Aug 13, 2021·Journal of Food Protection·Sujata A SirsatIsabella Raschke

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