Cardiovascular disease (CVD) is the leading cause of global deaths, with the majority occurring in low- and middle-income countries (LMIC). The primary and secondary prevention of CVD is suboptimal throughout the world, but the evidence-practice gaps are much more pronounced in LMIC. Barriers at the... patient, health-care provider, and health system level prevent the implementation of optimal primary and secondary prevention. Identification of the particular barriers that exist in resource-constrained settings is necessary to inform effective strategies to reduce the identified evidence-practice gaps. Furthermore, targeting modifiable factors that contribute most significantly to the global burden of CVD, including tobacco use, hypertension, and secondary prevention for CVD will lead to the biggest gains in mortality reduction. We review a select number of novel, resource-efficient strategies to reduce premature mortality from CVD, including: (1) effective measures for tobacco control; (2) implementation of simplified screening and management algorithms for those with or at risk of CVD, (3) increasing the availability and affordability of simplified and cost-effective treatment regimens including combination CVD preventive drug therapy, and (4) simplified delivery of health care through task-sharing (non-physician health workers) and optimizing self-management (treatment supporters). Developing and deploying systems of care that address barriers related to the above, will lead to substantial reductions in CVD and related mortality.
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Infectious disease outbreaks are periods of
great uncertainty. Events unfold, resources
and capacities that are often limited
are stretched yet further, and decisions
for a public health response must be
made quickly, even though the evidence
for decision-making may be scant. In
such a... situation, public health officials,
policy-makers, funders, researchers, field
epidemiologists, first responders, national
ethics boards, health-care workers, and public
health practitioners need a moral compass
to guide them in their decision-making.
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Latin America and the Caribbean is characterized by a matrix of social inequality whose axes —such as
socioeconomic stratum, gender, stage in the life cycle, ethnicity and race, territory, disability, and immigration
status— create multiple, often concurrent, situations of exclusion and discri...mination. The coronavirus
disease (COVID-19) pandemic has exacerbated wide social gaps and it is no coincidence that Latin America
and the Caribbean is one of the regions in which the health and socioeconomic impacts of the pandemic have
been the most severe, which shows that the costs of inequality are unsustainable
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Activities during precautionary measures (age group 6-13).
During infectious disease outbreaks, children may experience distress for a variety of reasons. The collective anxiety and grief that a community experiences can impact heavily on children. Limited public knowledge of the disease may trigge...r misinformation, rumors and panic.
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Evidence from two pilot projects in India.
What countries need: Investments needed for 2010 targets
The growing understanding of how sequence information can contribute to improved public health is driving global investments in sequencing facilities and programmes. The falling cost and complexity of generating GSD provides opportunities for expanding sequencing capacity; however, challenges to wid...espread implementation remain. This document provides policy-makers and stakeholders with guidance on how to maximize the public health benefit of SARS-CoV-2 genomic sequencing activities in the short and long term as the pandemic continues to unfold. Practical considerations for the implementation of a virus genomic sequencing programme and an overview of the public health objectives of genomic sequencing are covered. This guidance focuses on SARS-CoV-2 but is applicable to other pathogens of public health concern.
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This document contains summary information on the latest projections from the IHME model on COVID-19
in Brazil. The model was run on July 15, 2022, with data through July 13, 2022.