Cancer is an emerging public health problem in sub-Saharan Africa due to population growth, ageing and westernisation of lifestyles. In this piece, we use data from Mozambique over a 50-year period to illustrate cancer epidemiological trends in low-income and middle-income countries to hypothesise ...potential circumstances and factors that could explain changes in cancer burden and to discuss surveillance weaknesses and potential improvements. This epidemiological transition deserves increasing policy attention.
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Summary Report on the Comprehensive Study
This study is made possible by the generous support of the American people through the United States Agency for International Development (USAID). The contents are the responsibility of their authors and do not necessarily reflect the views of USAID or th...e United States Government.
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WaterAid is an international NGO that provides assistance for safe water supply,
sanitation and hygiene practice in the poor communities in the world.
A Provisional Document. The purpose of this manual is to provide guidance to public health professionals tasked with managing a response to viral hepatitis. As every country’s needs are different with respect to its epidemiology and the current level of response, people would use this manual in di...fferent ways
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The document is intended to facilitate the detection, evaluation and management of incident EVD cases in Germany. It primarily addresses public health service staff and health care workers in hospitals, outpatient clinics and emergency services in Germany. It is a work in progress, intended to evolv...e over time. Updated 14 August 2015
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A handbook for leaders and managers
Infection Prevention and Control Programmes
January 2020
This study is a theory-driven analysis of the socio-demographic determinants of maternal care seeking in Kenya. Specifically, it examines predisposing, enabling, and need factors potentially associated with use of antenatal care (ANC), health facility delivery, and timely postnatal care (PNC).This s...tudy uses data from the 2014 Kenya Demographic and Health Survey (KDHS) conducted among women age 15-49 with a live birth in the five years preceding the survey. It includes data from all 47 counties of Kenya, grouped contiguously into 12regions.We apply Andersen’s Behavioral Model of Health Services Use to examine socio-demographic predictors of health service use.We estimate logistic regression models for adequate use of ANC (defined as attending at least four ANC visits, starting in the first three months of pregnancy), delivery in a health facility, and PNC within 48 hours of delivery.
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2nd edition.
Like the original, this second edition of the guidance aims to inform the revision of existing national guidelines and standards for managing Tuberculosis (TB), many of which include guidance on children. It includes recommendations, based on the best available evidence, for improving ...the management of children with TB and of children living in families with TB. National and regional TB control programmes may wish to adapt these recommendations according to local circumstances
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Key facts about major deadly diseases.This manual provides concise and up-to-date knowledge on 15 infectious diseases that have the potential to become international threats, and tips on how to respond to each of them.
You can download an interactive version directly at the website
http://www.who....int/emergencies/diseases/managing-epidemics/en/
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The classification of digital health interventions (DHIs) categorizes the different ways in which digital and mobile technologies are being used to support health system needs. Historically, the diverse communities working in digital health—including government stakeholders, technologists, clinic...ians, implementers, network operators, researchers, donors— have lacked a mutually understandable language with which to assess and articulate functionality. A shared and standardized vocabulary was recognized as necessary to identify gaps and duplication, evaluate effectiveness, and facilitate alignment across different digital health implementations. Targeted primarily at public health audiences, this Classification framework aims to promote an accessible and bridging language for health program planners to articulate functionalities of digital health implementations.
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