International Journal for Equity in Health 2014, 13:24
Schizophr Bull. 2014 Jan;40(1):192-213. doi: 10.1093/schbul/sbs150. Epub 2012 Dec 17.
Prioritise education in conflict-affected areas:
Across the world 28 million1 primary school-age children living in conflict-affected countries are
out-of-school, and they form half of the world’s total out-of-school population. During conflict,
infrastructure assets such as schools are damaged... or completely destroyed during fighting. Children
may choose to stay away from school due to their and their family’s safety fears in the midst of
conflict, or the need to supplement their family’s income amidst conflict-related financial loss.
Children who are internally displaced by conflict face a particularly challenging task accessing
education due to the specific conditions created by their displacement, such as loss of livelihoods
making school fees hard to find, and discrimination from host communities. Children caught in
conflict are being deprived of their right to education2 and denied the opportunity to benefit from the
protective and life-sustaining mechanisms of education.
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A Product of the Asian American Psychological Association Leadership Fellows Program | Information about: What is a traumatic event? | Types of traumatic events | Complex trauma | Common symptoms of childhood exposure to trauma and violence | Popular myths about childhood trauma | Trauma prevalence... and key findings regarding Asian American Pacific Islander (AAPI) children and families | Seeking help for Childhood trauma.
SEEKING HELP FOR
CHILDHOOD TRAUMA
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DHS Working Papers No. 113
DHS Working Papers No. 108 | Zimbabwe Working Papers
No. 9
Good practices from South & South-East Asia in disability inclusive disaster risk management
A Paper submitted to the 56th session of the UN Committee to CEDOW, July 2014, Geneva
This brief focuses on disability rights in the ASEAN countries, namely Brunei Darussalam, Cambodia, Indonesia, Lao People’s Democratic
Republic (PDR), Malaysia, Myanmar, the Philippines, Singapore, Thailand and Viet Nam.
Introduction
Chapter A.10
Providing improved water supply to low-income urban communities is a difficult challenge faced by water utilities throughout Africa and Asia.
This guide provides an introduction to available options for serving these communities.
The guide draws on sector experience in general, and more particular...ly on WSUP’s extensive experience of implementing urban WASH programmes in sub-Saharan Africa and elsewhere.
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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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