Curriculum and Technical Training Module about Health Advocacy Management for Health Promotion Officer
Census Report Volume 4-E
As no census has been undertaken in over 30 years, many aspects of the demographic situation in the country were unknown. For instance, before the Census it was thought that the country had a population of about 60 million, but the 2014 Census showed that the population... (including an estimate for under-enumeration) was 51,486,253 persons, around 8.5 million less than the previous estimate.
In the 1983 census, 35,307,913 persons were recorded. Therefore between 1983 and 2014, the population increased by 46 per cent. With an average annual population growth rate of 0.89 per cent between 2003 and 2014, Myanmar is one of the slowest growing countries in Southeast Asia.
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Global Campaign Against Epilepsy
In Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change
The full report you can download under
https://reliefweb.int/sites/reliefweb.int/files/resources/pdna_report_mozambique_cyclone_idai.pdf
(Large File 11 MB)
This is an update of a seven-year TB and Leprosy national strategic plan (TBL-NSP), which extends from 2013 to 2020. The update focuses on the plan covering from 2017-20 and is based on the 2017 external mid-term programme review key findings and recommendations; the global and national End TB strat...e-gies and targets; stakeholders consultation and recent revision of the national TB guidelines.
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This year’s MPI results show that more than two-thirds of the multidimensionally poor—886 millionpeople—live in middle-income countries. A further 440 million live in low-income countries. In both groups, data show, simple national averagescan hide enormous inequality inpatterns of povertywith...in countries. For instance, in Uganda 55 percentof the population experience multidimensional poverty—similartotheaverage in Sub-Saharan Africa. But Kampala, the capital city, has an MPI rate of sixpercent, whileinthe Karamojaregion, the MPI soars to 96 percent—meaningthat partsof Ugandaspan the extremes of Sub-Saharan Africa.There is even inequality under the same roof. In South Asia, for example, almost a quarter ofchildren under five live in households where at least one child in the household is malnourished but at least one child is not.
There is also inequality among the poor. Findings of the2019 global MPI paint a detailed picture of the many differences in how-and how deeply -people experience poverty. Deprivationsamong the poor varyenormously: in general, higher MPI valuesgo hand in hand with greater variationin the intensity of poverty. Results also show that children suffer poverty more intensely than adults and are more likely to be deprived in all 10 of the MPI indicators, lackingessentialssuch as clean water, sanitation, adequate nutrition or primary education
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This document adopts a health determinants framework for examining the evidence related to women’s poor mental health. From this perspective, public policy including economic policy, socio-cultural and environmental factors, community and social support, stressors and life events, personal behavio...ur and skills, and availability and access to health services, are all seen to exercise a role in determining women’s mental health status. Similarly, when considering the differences between women and men, a gender approach has been used. While this does not exclude biological or sex differences, it considers the critical roles that social and cultural factors and unequal power relations between men and women play in promoting or impeding mental health. Such inequalities create, maintain and exacerbate exposure to risk factors that endanger women’s mental health, and are most graphically illustrated in the significantly different rates of depression between men and women, poverty and its impact, and the phenomenal prevalence of violence against women.
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This volume presents the complex patterns of cancer incidence and death around the world and evidence on effective and cost-effective ways to control cancers. The Disease Control Priorities Volume 3 evaluation of cancer will indicate where cancer treatment is ineffective and wasteful, and offer alte...rnative cancer care packages that are cost-effective and suited to low-resource settings.
Disease Control Priorities, Third Edition: Volume 3
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Profile of Crisis Response of District Health / Disaster Risk: Bontang City, Indonesia
Profile of Crisis Response of District Health / Disaster Risk: Regency of East Flores, Indonesia
Profile of Crisis Response of District Health or Disaster Risk in District of North Central Timor, Indonesia
Profile of Health Crisis Response within District with High Risk of Disaster : West Halmahera-District, Indonesia