The National Department of Health and Department of Agriculture, Forestry and Fisheries have collectively engaged to determine the key interventions that will form the basis for this strategy taking into account the recommendations from the WHO and OIE.
The development and implementation of a Natio...nal Antimicrobial Resistance Strategy Framework that complements international efforts is a major step towards containment of the growing threat of antimicrobial resistance in human and animal health. Global partnerships need to be strengthened because the responsibility for reducing resistance is a shared one. This responsibility is not only limited to the health care sector, but calls for collaborative action in all sectors - human, animal and agriculture.
The National Antimicrobial Resistance Strategy Framework will affect South Africa’s response to this looming threat. We already have the tools and expertise to make a difference, now all we need is to work together toward a better future.
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Welcome! This tool provides you as a first responder with action guides and instructions for use in a radiological emergency.
Also available in Russian: https://www-pub.iaea.org/MTCD/Publications/PDF/EPR-FirstRespondersPDA-2009/html/default.htm
These materials are designed for use at a training course on medical preparedness and response for a nuclear or radiological emergency. They contain a wide range of lectures and supporting materials, which cover the basic topics and more specific areas of medical preparedness... and
response.
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Best Practices Report.PART 1 Primary Protection: Enhancing Health Care Resilience for a Changing Climatei Primary Protection: EnhancingU.S. Department of Health and Human Services
PNAS | March 4, 2014 | vol. 111 | no. 9
Malaria is an important disease that has a global distribution and significant health burden. The spatial limits of its distribution and seasonal activity are sensitive to climate factors, as well as the local capacity to control the disease. Malaria is also ...one of the few health outcomes that has been modeled by more than one research group and can therefore facilitate the first model intercomparison for health impacts under a future with climate change. We used bias-corrected temperature and rainfall simulations from the Coupled Model Intercomparison Project Phase 5 climate models to compare the metrics of five statistical and dynamical malaria impact models for three future time periods (2030s, 2050s, and 2080s). We evaluated three malaria outcome metrics at global and regional levels: climate suitability, additional population at risk and additional person-months at risk across the model outputs. The malaria projections were based on five different global climate models, each run under four emission scenarios (Representative Concentration Pathways, RCPs) and a single population projection. We also investigated the modeling uncertainty associated with future projections of populations at risk for malaria owing to climate change. Our findings show an overall global net increase in climate suitability and a net increase in the population at risk, but with large uncertainties. The model outputs indicate a net increase in the annual person-months at risk when comparing from RCP2.6 to RCP8.5 from the 2050s to the 2080s. The malaria outcome metrics were highly sensitive to the choice of malaria impact model, especially over the epidemic fringes of the malaria distribution.
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