Encuesta Demográfica y de salud familiar. Resumen ejecutivo
This profile is part of a series of Climate Risk Country Profiles developed by the World Bank Group (WBG). The country profile
synthesizes most relevant data and information on climate change, disaster risk reduction, and adaptation actions and policies
at the country level. The country profile se...ries are designed as a quick reference source for development practitioners to better
integrate climate resilience in development planning and policy making.
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The Councils share a common mandate of ensuring persons practising health related professions in Namibia are suitably qualified. Registration with the Councils is, thus, a pre-requisite for professional practice – and it is also a legal requirement too update personal details of all registered hea...lthcare practitioners. The target of the Councils as per the five-year strategic plan (2020/2025) is to register and enrol twenty-four thousand six hundred and fourteen (24 614) healthcare practitioners by the 2021/2022 financial year. The Councils have significantly delivered on this mandate by registering and enrolling a total of twenty-six thousand six hundred and eighty-one (26 681) healthcare practitioners.
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Mental Health Atlas 2020 Member State Profile Nambia Data Analytics
An attempt has been made to map the incidence of uni-dimensional and multi-dimensional poverty simultaneously arguably for the first time in Pakistan. While multi-dimensional poverty map is calculated using PSLM 2010-11; small area estimation technique is utilized to map uni-dimensional poverty usin...g both nationally representative HIES (Household Integrated Economic Survey) and district-level representative PSLM (Pakistan Standard of Living Measurement) for the same year of 2010-11. The result indicates the existence of spatial distribution of poverty pockets in each of the four provinces of Pakistan. Furthermore, it is also observed that these pockets of poverty are more concentrated in the desert and mountains regions of the country.
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Living Conditions Among Persons with Disability Survey Report
Evolving Patterns of Worldwide Distribution as of 14thFebruary 2021
This report presents the findings of the Estimating the Size of Populations through a Household Survey (ESPHS) study that took place in 2011. The study utilized a single household survey to estimate the size of several key populations, including sex workers, men who have sex with men (MSM), injectin...g drug users (IDU), and clients of sex workers. These populations include several groups outlined in the National Strategic Plan for HIV and AIDS as most at risk for HIV infection, specifically sex workers and MSM.
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Working Paper 589 July 2021T
The Community-based Health System Model Series briefs identify and discuss critical health system inputs and processes that have contributed to the implementation and expansion of community-based service delivery in different countries.
Countries were selected for their geographic diversity, type o...f service delivery model, and programmatic scale-up.
This brief reviews Malawi’s community health model to inform future policy, program design, and implementation in other countries.
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One Health 5 (2018) 34–36
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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