The article "Asthma in South African adolescents: a time trend and risk factor analysis over two decades" investigates the prevalence and risk factors for asthma in Cape Town adolescents from 2002 t...o 2017. The study finds that while the overall prevalence of asthma remained similar, the severity of the condition increased significantly. Risk factors for asthma and severe cases include smoking, pet exposure, outdoor pollution, and living in informal housing. Despite these trends, underdiagnosis remains a concern, as only one-third of adolescents with current or severe asthma had been formally diagnosed. The article emphasizes the need for better public health strategies to address environmental exposures and improve asthma diagnosis and treatment.
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Research Article
Karo et al. BMC Infectious Diseases 2014, 14:148 http://www.biomedcentral.com/1471-2334/14/148
March 2018, Vol. 108, (3 Suppl 1)
Massoda Tonye et al. Malar J (2018) 17:156
https://doi.org/10.1186/s12936-018-2284-7
Background: In 2011, the demographic and health survey (DHS) in Cameroon was combined with the multiple indicator
cluster survey. Malaria parasitological data ...were collected, but the survey period did not overlap with the high
malaria transmission season. A malaria indicator survey (MIS) was also conducted during the same year, within the
malaria peak transmission season. This study compares estimates of the geographical distribution of malaria parasite
risk and of the effects of interventions obtained from the DHS and MIS survey data.
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Further Analysis of the 2000, 2005, and 2011 Demographic and Health Surveys. DHS Further Analysis Reports No. 81
DEMOGRAPHIC AND HEALTH SURVEYS DHS WORKING PAPERS 2015 No. 117
Demographic Health Survey Working Paper 2017 No. 130
Further Analysis of the 2000, 2005, and 2011 Demographic and Health Surveys. DHS Further Analysis Reports No. 80
Further Analysis of the 2000, 2005, and 2011 Demographic Health Surveys. DHS Further Analysis Reports No. 72
Further analysis of the 2011 Nepal Demographic and Health Survey
Further analysis of the Nepal Demographic and Health Surveys, 2001-2011
DHS Further Analysis Reports No. 88 - This further analysis examines levels, trends, and determinants of neonatal mortality in Rwanda, using data from the 2000, 2005, and 2010 Rwanda Demographic and Health Surveys (RDHS).
Data from the 2011 Ethiopia Demographic and Health Survey
Further Analysis of the 2000, 2005, and 2011 Demographic and Health Surveys. DHS Further Analysis Reports No. 79
Further analysis of the 2011 Nepal Demographic and Health Survey
Further analysis of the 2011 Nepal Demographic and Health Survey
Levels and Inequities
DHS Further Analysis Reports No. 110
This study shows large variations in maternal health indicators across high-priority counties in Kenya. Nairobi exceeds the national average on all maternal health indicators in this study, while other highpriority counties consist...ently are disadvantaged compared with Kenya as a whole in most maternal health indicators. Kisumu exceeds the national average in use of antenatal care, delivery in a health facility, and postnatal care, but not other indicators. Nakuru has fewer women with fertility risk and fewer women who report that the distance they must travel to reach a health facility is a problem.
This study identifies a number of inequities in maternal health indicators across socio-demographic characteristics in the high-priority counties—most in the distribution of delivery care and least in antenatal care. Inequities are also observed in fertility risk and postnatal care.
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