Needs assessment and analysis
Collect and analyze sex, age and disability disaggregated data (SADDD) and conduct a participatory gender analysis to understand different health needs, capacities, barriers and aspirations and identify populations with special health requirements
Population demogra...phics. E.g. pregnant and lactating women, infants, elderly, unaccompanied children, persons with disabilities, chronically ill persons 9 Gender roles and power dynamics. E.g. ability of women, girls, men and boys to make health decisions and access services; roles and responsibility of household members in health.
Gender and cultural norms and practices. E.g. preference for mixed/segregated facilities and staff; socio-cultural and religious taboos and beliefs around health, practices and beliefs on menstruation, practices and expectations on pregnancy, childbirth and breastfeeding; traditional health care providers
Intersectional issues. E.g. access to health care for LGBTIQ persons, for GBV survivors, for adolescent girls and boys
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The Atlas of health and climate is a product of this unique collaboration between the meteorological and public health communities. It provides sound scientific information on the connections between weather and climate and major health challenges. These range from diseases of poverty to emergencies... arising from extreme weather events and disease outbreaks. They also include environmental degradation, the increasing prevalence of noncommunicable diseases and the universal trend of demographic ageing.
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Open Journal of Epidemiology, 2018, 8, 226-241
Abstract
Introduction: Road traffic accidents (RTAs) are a major public health issue
in developing countries, where roads tend to be built haphazardly and accidents
take a heavy toll on victims—including leaving them disabled. This
study seeks ...to identify those factors that cause RTA victims to become disabled
as a result of their injuries. Methods: This retrospective community-
based study looked at RTA victims treated in five public and faith-based
hospitals in Benin. Disability was evaluated using the Washington Group on
Disabilities Statistics questionnaire. The independent variables were related to
the victim’s socio-demographic traits, the circumstances of the accident, and
post-crash response mechanisms. The proportions were compared using the
chi-squared test, with a threshold of 5%. Results: The prevalence of disability
among road traffic accident victims is 9.59% (CI 95%: 6.86% - 13.20%). The
occurrence of disability is associated with age (p = 0.002), occupational group
(p = 0.0077), the mode of transport used to transfer the victim (p < 0.001)
and the location of the injuries (p = 0.0035). The study also found that people
fail to make sufficient use of post-crash response mechanisms. Conclusion:
Public policy-makers should therefore focus on stepping up interventions to
get more people using both protective equipment and post-crash response services.
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Barriers to the prompt and effective diagnosis and treatment of malaria exist at both the community and health facility level. Household surveys measure malaria case management at the population level with standard indicators that assess treatment-seeking behavior, access to diagnostic testing, and ...access to appropriate treatment. Performance on these indicators varies widely from country to country. Among countries with Demographic and Health Surveys (DHS) or Malaria Indicator Surveys (MIS) completed between 2014 and 2016, advice and treatment was sought for a median of 47% of children under age 5 with fever.
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The Information Management Unit of the Assistance Coordination Unit issued a Panoramic Report on Busra Esh-Sham City located in Dar’a Governorate. The report reflects the living conditions in the city during November and December 2017. The report covers in analysis several sections: Active Civilia...n actors, Demography, Health, Food Security, Education, and the Infrastructure, which incorporates Water sector, Sewage System, Solid Waste, Electricity, and Public Roads Network. This report aims at drawing the attention of the decision-makers to the civil actors in the city of Busra Esh-Sham and to enable them to manage the community and provide necessary infrastructure needs and services to the community people.
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This rapid compilation of data analyses provides a ‘stock-take’ of social science and behavioural data related to the on-going outbreak of Ebola in North Kivu, South Kivu and Ituri provinces. Based on data gathered and analysed by organisations working in the Ebola response and in the region mor...e broadly, it explores convergences and divergences between datasets and, when possible, differences by geographic area, demographic group, time period and other relevant variables. Data sources are listed at the end of the document.
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For the 24th consecutive year, PAHO has published the report Health Situation in the Americas: Core Indicators featuring the latest information on key indicators for the Region of the Americas. This 2018 edition includes data on the 82 core indicators for the countries, territories, and sub regions ...of the Americas, grouped into the following categories: demographic-socioeconomic, health status, risk factors, service coverage, and health systems. Information is also presented on 22 indicators of the Sustainable Development Goals (SDGs).
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From 2000 to 2010, Rwanda implemented comprehensive health sector reforms to strengthen the public health system, with the aim of reducing maternal and newborn deaths in line with Millennium Development Goal 5, among many other improvements in national health. Based on a systematic review of the lit...erature, national policy documents and three Demographic & Health Surveys (2000, 2005 and 2010), this paper describes the reforms and the policies they were based on, and provides data on the extent of Rwanda’s progress in expanding the coverage of four key women’s health services. Progress took place in 2000–2005 and became more rapid after 2006, mostly in rural areas, when the national facility-based childbirth policy, performance-based financing, and community-based health insurance were scaled up. Between 2006 and 2010, the following increases in coverage took place as compared to 2000–2005, particularly in rural areas, where most poor women live: births with skilled attendance (77% increase vs. 26%), institutional delivery (146% increase vs. 8%), and contraceptive prevalence (351% increase vs. 150%). The primary factors in these improvements were increases in the health workforce and their skills, performance-based financing, community-based health insurance, and better leadership and governance. Further research is needed to determine the impact of these changes on health outcomes in women and children.
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Ade et al. BMC Health Services Research (2016) 16:5
Background: In the “Centre National Hospitalier de Pneumo-Phtisiologie” of Cotonou, Benin, little is known about
the characteristics of patients who have not attended their scheduled appointment, the results of tracing and the
possible b...enefits on improving treatment outcomes. This study aimed to determine the contribution of tracing
activities for those who missed scheduled appointments towards a successful treatment outcome.
Methods: A retrospective cohort study was carried out among all smear-positive pulmonary tuberculosis patients
treated between January and September 2013. Data on demographic and diagnostic characteristics and treatment
outcomes were accessed from tuberculosis registers and treatment cards. Information on those who missed their
scheduled appointments was collected from the tracing tuberculosis register. A univariate analysis was performed
to explore factors associated with missing a scheduled appointment
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This report investigates the impact of potential misclassification of samples on HIV prevalence estimates for 23 surveys conducted from 2010-2014. In addition to visual inspection of laboratory results, we examined how accounting for potential misclassification of HIV status through Bayesian latent ...class models affected the prevalence estimates. Two types of Bayesian models were specified: a model that only uses the individual dichotomous test results and a continuous model that uses the quantitative information of the EIA (i.e., the signal-to-cutoff values). Overall, we found that adjusted prevalence estimates matched the surveys’ original results, with overlapping uncertainty intervals. This suggested that misclassification of HIV status should not affect the prevalence estimates in most surveys. However, our analyses suggested that two surveys may be problematic. The prevalence could have been overestimated in the Uganda AIDS Indicator Survey 2011 and the Zambia Demographic and Health Survey 2013-14, although the magnitude of overestimation remains difficult to ascertain. Interpreting results from the Uganda survey is difficult because of the lack of internal quality control and potential violation of the multivariate normality assumption of the continuous Bayesian latent class model. In conclusion, despite the limitations of our latent class models, our analyses suggest that prevalence estimates from most of the surveys reviewed are not affected by sample misclassification.
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Interactive Map
You’ve probably noticed that the map has been evolving along with the virus. Now, it sports new layers of data—including a close-up section on the US, with details on testing, hospitalizations, and country-level demographic data.
The map provides “more nuance on what’s h...appening to support decision-making.
For example, the new details can help prepare hospitals to better anticipate staffing and resource shortages
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The National AIDS Control Council (NACC) continues to strengthen partnerships with all stakeholders in the response to HIV and AIDS in Kenya. While recognizing that there is no single preventive approach to reverse the spread of HIV, the faith sector comprising of Faith Communities (FCs) a...nd Faith-Based Organizations (FBOs) have demonstrated sustained motivation and moral authority with resources and outreach capability to significantly reduce new HIV infections. In addition, they have the power to influence policy changes to address societal, cultural and structural factors that impede individuals’ capacity to prevent HIV infection. According to Kenya Demographic Health Survey (2014), over 97% of the Kenya population was reported to ascribe to religious affiliation.
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Rumors emerge when people feel left out of the discussion, when their questions cannot be answered by authorities or their doubts are dismissed by official sources. But also, rumors present an opportunity – to understand the questions, concerns and anxieties communities may have about this pandemi...c.
During the COVID-19 pandemic, Internews has followed its rumour-tracking methodology, including social media listening, to identify those rumors that are posing additional risks to the communities, ensuring content is collected from diverse demographic groups.
Internews produces and distributes rumor bulletins through its Rooted in Trust and its H2H (humanitarian-to-humanitarian network) projects. Rooted in Trust has collected close to 6,000 rumors from seven countries in 12 languages, and collects data across seven major social media platforms and a wide range of feedback collection channels. H2H is a collaboration to support responders at every level by analyzing information gaps and addressing them with evidence-based content in relevant languages, formats, and channels.
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The World Health Organization and the Global Fund to Fight AIDS, Tuberculosis and Malaria are part of a group of agencies working together to accelerate progress towards the health-related SDGs through the Global Action Plan for Healthy Lives and Well-being for All. Understanding patterns of inequal...ities in these diseases is essential for taking strategic, evidence-informed action to realize our shared vision of ending the epidemics of HIV, TB and malaria.
This report presents the first comprehensive analysis of the magnitude and patterns of socioeconomic, demographic and geographic inequalities in disease burden and access to services for prevention and treatment.
The results confirm there have been improvements in service coverage and decreased disease burden at the national level over the past decade. But they also reveal an uncomfortable reality: unfair inequalities between population subgroups within countries are widespread and have remained largely unchanged over the past decade. For some disease indicators, inequalities are even worsening.
Moreover, the report points to the persistent lack of available data to fully understand inequality patterns in HIV, TB and malaria. Collecting data to improve the monitoring of inequalities in these diseases is vital to develop targeted responses for impact.
There are, encouragingly, isolated successes in reducing inequities. Change is possible when deliberate action is taken to reach disadvantaged populations.
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Current Environmental Health Reports volume 7, pages 363–370 (2020)
Climate change has direct impacts on human health, but those impacts vary widely by location. Local health impacts depend on a large number of factors including specific regional climate impacts, demographics and human vulnerabil...ities, and existing local adaptation capacity. There is a need to incorporate local data and concerns into climate adaptation plans and evaluate different approaches.
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