Further Analysis of the 2014 Cambodia Demographic and Health Survey | DHS Further Analysis Reports No. 105
AN ANALYSIS OF UNICEF MICS 3 SURVEY DATA FROM BANGLADESH, LAO PDR, MONGOLIA AND THAILAND
Public Health Situation Analysis and Interventions 10 October 2017
English Analysis on World and 26 other countries about Agriculture, Climate Change and Environment, Drought, Epidemic and more; published on 26 Oct 2021 by WMO
English Analysis on World about Agriculture, Climate Change and Environment, Epidemic and more; published on 15 Dec 2021 by FAO and UNICEF
Arabic Analysis on World about Food and Nutrition; published on 22 Sep 2021 by UNICEF.
Available in different languages
Further Analysis of the 2000, 2005, and 2011 Demographic Health Surveys. DHS Further Analysis Reports No. 72
Further Analysis of the 2000, 2005, and 2011 Demographic and Health Surveys. DHS Further Analysis Reports No. 80
DHS Further Analysis Reports No. 111
This study is a theory-driven analysis of the socio-demographic determinants of maternal care seeking in Kenya. Specifically, it examines predisposing, enabling, and need factors potentially associated with use of antenatal care (ANC), health facility delive...ry, and timely postnatal care (PNC).
This study uses data from the 2014 Kenya Demographic and Health Survey (KDHS) conducted among women age 15-49 with a live birth in the five years preceding the survey. It includes data from all 47 counties of Kenya, grouped contiguously into 12 regions. We apply Andersen’s Behavioral Model of Health Services Use to examine socio-demographic predictors of health service use. We estimate logistic regression models for adequate use of ANC (defined as attending at least four ANC visits, starting in the first three months of pregnancy), delivery in a health facility, and PNC within 48 hours of delivery.
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SITUATION ANALYSIS AND RECOMMENDATIONS
English Analysis on World about Climate Change and Environment, Recovery and Reconstruction and Epidemic; published on 26 Oct 2021 by UNEP
A Systematic Review and Meta-analysis
Clinical Infectious Diseases® 2016;62(12):1586–94
Further analysis of the Nepal Demographic and Health Surveys, 2001-2011
A Global Analysis of Antimicrobial Resistance and Its Drivers.
Since the first State of the World’s Antibiotics report in 2015, antimicrobial resistance has leveled off in some high-income countries but continues to rise in many low- and middle-income countries (LMICs), where access to antibiotic...s has risen with increases in gross domestic product per capita. Per capita antibiotic consumption in LMICs is lower than in high-income countries, despite a higher infectious disease burden; however, consumption rates are rapidly converging. These trends reflect both better access to antibiotics for those who need them and increases in inappropriate antibiotic use.
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Further analysis of the 2011 Nepal Demographic and Health Survey
Background
Noncommunicable diseases are major contributors to morbidity and mortality worldwide. Modifying the risk factors for these conditions, such as physical inactivity, is thus essential. Addressing the context or circumstances in which physical activity occurs may promote physical activity a...t a population level. We assessed the effects of infrastructure, policy or regulatory interventions for increasing physical activity.
Methods
We searched PubMed, Embase and clinicaltrials.gov to identify randomised controlled trials (RCTs), controlled before-after (CBAs) studies, and interrupted time series (ITS) studies assessing population-level infrastructure or policy and regulatory interventions to increase physical activity. We were interested in the effects of these interventions on physical activity, body weight and related measures, blood pressure, and CVD and type 2 diabetes morbidity and mortality, and on other secondary outcomes. Screening and data extraction was done in duplicate, with risk of bias was using an adapted Cochrane risk of bias tool. Due to high levels of heterogeneity, we synthesised the evidence based on effect direction.
Results
We included 33 studies, mostly conducted in high-income countries. Of these, 13 assessed infrastructure changes to green or other spaces to promote physical activity and 18 infrastructure changes to promote active transport. The effects of identified interventions on physical activity, body weight and blood pressure varied across studies (very low certainty evidence); thus, we remain very uncertain about the effects of these interventions. Two studies assessed the effects of policy and regulatory interventions; one provided free access to physical activity facilities and showed that it may have beneficial effects on physical activity (low certainty evidence). The other provided free bus travel for youth, with intervention effects varying across studies (very low certainty evidence).
Conclusions
Evidence from 33 studies assessing infrastructure, policy and regulatory interventions for increasing physical activity showed varying results. The certainty of the evidence was mostly very low, due to study designs included and inconsistent findings between studies. Despite this drawback, the evidence indicates that providing access to physical activity facilities may be beneficial; however this finding is based on only one study. Implementation of these interventions requires full consideration of contextual factors, especially in low resource settings.
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Further analysis of the 2011 Nepal Demographic and Health Survey
Further analysis of the 1996, 2001, and 2006 Demographic and Health Surveys Data
Arabic Analysis on World about Agriculture, Climate Change and Environment, Drought, Flood and more; published on 09 Dec 2021 by FAO
Risk Communication and Community Engagement (RCCE) is an essential component of your health emergency preparedness and response action plan. This tool is designed to support risk communication, community engagement staff and responders working with national health authorities, and other partners to ...develop, implement and monitor an effective action plan for communicating effectively with the public, engaging with communities, local partners and other stakeholders to help prepare and protect individuals, families and the public’s health during early response to COVID-19.
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