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Assessing the Association between Heart Attack, High Blood Pressure, and Heart Disease Mortality Rates and Particulate Matter and Socioeconomic Status Using Multivariate Geostatistical Model 被引量:2
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作者 Faye Anderson 《Occupational Diseases and Environmental Medicine》 2016年第1期8-15,共8页
This study addresses the public concerns of potential adverse health effects from ambient fine particulate matter as well as socioeconomic factors. Heart attack, high blood pressure, and heart disease mortality rates ... This study addresses the public concerns of potential adverse health effects from ambient fine particulate matter as well as socioeconomic factors. Heart attack, high blood pressure, and heart disease mortality rates were investigated against fine particulate matter and socioeconomic status, for all counties in the United States in 2013. Multivariate multiple regressions as well as multivariate geostatistical predictions show that these are significant factors towards assessing the causal inferences between exposure to air pollution and socioeconomic status and the three mortality rates. 展开更多
关键词 Heart Attack High Blood Pressure Heart Disease MORTALITY United States Multivariate Geostatistics coregionalization Multivariate Multiple Linear
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Co-morbidity of malaria and soil-transmitted helminths in Nigeria: a joint Bayesian modelling approach
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作者 Faith Eshofonie Olatunji Johnson Ezra Gayawan 《Infectious Diseases of Poverty》 2025年第2期100-100,共1页
Background Malaria and soil-transmitted helminths(STH)represent significant public health challenges in tropi-cal regions,particularly affecting children and impeding development.This study investigates the co-morbidi... Background Malaria and soil-transmitted helminths(STH)represent significant public health challenges in tropi-cal regions,particularly affecting children and impeding development.This study investigates the co-morbidity of malaria,caused by Plasmodium spp.,and STH infections,including Ascaris lumbricoides(roundworm),Ancylostoma duodenale and Necator americanus(hookworm),and Trichuris trichiura(whipworm),in Nigeria.Methods We utilized malaria prevalence data from the Nigeria Malaria Indicators Survey(NMIS)for the years 2010 and 2015 and STH prevalence data from the Expanded Special Project for Elimination of Neglected Tropical Diseases(ESPEN)portal,covering the years 1978-2014.A Bayesian coregionalization model was employed to analyze the prev-alence and incidence of malaria and STH,linking these data to climatic factors such as temperature and precipita-tion.The study's findings highlight significant co-morbidity between malaria and STH,particularly in the southsouth andsoutheastregions.Results Our analysis reveals notable regional disparities:malaria prevalence is highest in the northwest and north-central regions,while Ascaris lumbricoides is widespread in both northern and southern states.Ancylostoma duo-denale and Necator americanus(Hookworm)are predominantly found in the southwest,and Trichuris trichiura,though less prevalent,is significant in specific areas.Substantial co-morbidity between malaria and STH was observed,particularly in the South-South and southeast regions,indicating a compounded health burden.Furthermore,climatic factors significantly influence disease distribution;higher temperatures correlate with increased malaria prevalence,although temperature has a minimal effect on STH prevalence and incidence.In contrast,precipitation is positively associated with both malaria and STH incidence.Conclusions These findings enhance our understanding of the spatial distribution and risk factors associated with malaria and STH in Nigeria,providing vital insights for the development of public health policies and targeted intervention strategies. 展开更多
关键词 MALARIA Soil-transmitted helminths Ascaris lumbricoides HOOKWORM Trichuris trichiura NIGERIA Climate coregionalization
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