Prepared for the Stunting Prevention and Reduction Project - The project Medical Waste Management Plan’s (MWMP) overall objective is to prevent and/or mitigate the negative effects of increased generation of medical waste on human health and the environment. The plan proposes measures to prevent t...he spread of infection and reduce the
exposure of health workers, patients and the general public to the risks from medical waste. The plan is to be used by all project implementation entities to manage medical waste associated with
project activities. These entities will have appropriate procedures and capacities in place to manage the medical waste.
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This booklet provides policymakers, planners, and other interested parties with insight into the current state of the Rwandan health sector. These statistics provide a basis for policies, strategies, and planned interventions to ensure they are responsive to the needs of the health sector and, cruci...ally, are focused on addressing current priorities that aim to improve the health of the Rwandan population.
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National-scale databases and reliability issue
Background report
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Die Broschüre kann in folgenden Sprachen heruntergeladen werden:
Deutsch, Englisch, Tigrinya, Arabisch, Dari, Französisch
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This paper examines the extent to which health workers differ in their willingness to work in rural areas and the reasons for these differences, based on the data collected in Rwanda analysed individually and in combination with data from Ethiopia.
Based on the Vulnerability Index developed in this review, an estimated 22.7 million persons in Myanmar, or 44% of the population, were found to have some form of vulnerability related to human development and/or exposure to active conflict/violence. These people experience varying combinations of p...oor housing, lack of education, poor educational attainment, lack of access to safe sanitation and improved drinking water, and direct exposure to conflict.
Shan and Ayeyarwady have the largest populations of vulnerable persons, a function of both their size and relative vulnerability in comparison to other States and Regions. Yangon and Shan show the widest variation in vulnerability across townships (in terms of the number of vulnerable persons and their level of vulnerability), followed by Mandalay, Chin and Rakhine.
Original file: 15 MB
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Globalization and Health (2021) 17:74 https://doi.org/10.1186/s12992-021-00722-3