1989
DOI: 10.1146/annurev.publhealth.10.1.281
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Literacy And Health Status In Developing Countries

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Cited by 17 publications
(21 citation statements)
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References 24 publications
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“…Pandemic onset time and physical geography, which may be important in explaining country-wide variance in mortality, vary little within the city of Chicago and are, therefore, unlikely to be important factors in explaining the observed differential mortality. Illiteracy was positively associated with mortality and transmissibility, likely contributing to lower access to medical care as well as decreased awareness and adoption of intervention measures proposed by public health officials, which increases risk of infection and poor clinical outcome (18). The latter explanation may be particularly relevant to the city of Chicago, where strict public health measures, including mandatory quarantines, school closings, and bans on public gatherings, are believed to have significantly reduced the size of the pandemic (34).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Pandemic onset time and physical geography, which may be important in explaining country-wide variance in mortality, vary little within the city of Chicago and are, therefore, unlikely to be important factors in explaining the observed differential mortality. Illiteracy was positively associated with mortality and transmissibility, likely contributing to lower access to medical care as well as decreased awareness and adoption of intervention measures proposed by public health officials, which increases risk of infection and poor clinical outcome (18). The latter explanation may be particularly relevant to the city of Chicago, where strict public health measures, including mandatory quarantines, school closings, and bans on public gatherings, are believed to have significantly reduced the size of the pandemic (34).…”
Section: Discussionmentioning
confidence: 99%
“…We constructed a Poisson model with generalized estimating equations (GEEs) model to explore the fine-scale effects of sociodemographic factors, including illiteracy, homeownership, unemployment, and population density, on influenza mortality. Illiteracy has been cited as the closest approximation of socioeconomic and health status (18), whereas high rates of homeownership and low rates of unemployment are often considered predictors of improved financial security, access to healthcare resources, and general health status (19). To test the robustness of our results to the possibility that the pandemic virus (or a related virus) infected significant numbers of individuals in the spring of 1918 (referred to as a herald wave), we used simulations to investigate the impact of an unobserved herald wave on the observed sociodemographic relationships.…”
mentioning
confidence: 99%
“…Literacy rates are also higher in Kerala (94%) than Bihar (62%) (Office of the Registrar General and Census Commissioner, India 2011) and higher literacy has also been linked to higher utilization of health services (Grosse & Auffrey 1989).…”
Section: Our Focusmentioning
confidence: 99%
“…The first is that utilization in Kerala is almost 5 times higher in Kerala than Bihar across all categories. This is expected due to better availability of health services as well as higher literacy, which is linked to higher utilization (Grosse & Auffrey 1989). The second point of interest is the comparison of utilization between non--elderly and elderly.…”
Section: Impact Of Gender On Utilizationmentioning
confidence: 99%
“…Literate women are less likely to experience poverty [26,27], more likely to maintain adequate nutritional status [28,29] and make decisions with respect to health and well-being [30,31], access and use information [32,33], and have fewer children [34]. These gains resulting from improvements in female literacy reduce maternal morbidity and maternal mortality.…”
Section: Introductionmentioning
confidence: 99%