Key populations brief
Accessed 2017
The world’s population is projected to grow from 7.7 billion in 2019 to 8.5 billion in 2030 (10% increase), and further to 9.7 billion in 2050 (26%) and to 10.9 billion in 2100 (42%). The population of sub-Saharan Africa is projected to double by 2050 (99%). Other region...s will see varying rates of increase between 2019 and 2050: Oceania excluding Australia/New Zealand (56%), Northern Africa and Western Asia (46%), Australia/New Zealand (28%), Central and Southern Asia (25%), Latin America and the Caribbean (18%), Eastern and South-Eastern Asia (3%), and Europe and Northern America (2%).
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Report of the Global Thematic Consultation on Population Dynamics
OM Bangladesh Needs and Population Monitoring (NPM) is part of the IOM’s global Displacement Tracking Matrix (DTM) programming. DTM is IOM’s information management system to track and monitor population displacement during crises. Composed of several tools and processes, DTM regularly captures a...nd analyzes multilayered data and disseminates information products that us help better understand the evolving needs of the displaced population, whether on site or en route.
As of Janurary 2018, NPM Bangladesh has two ongoing regular data collection and information management components, the NPM Site Assessment (SA) and the NPM Flow Monitoring (FM). These are designed to complement each other to provide a complete coverage of popuation movements over time.
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By 2100, new UN figures show that 4 of today’s 10 most populous nations will be replaced by African countries.
Brazil, Bangladesh, Russia and Mexico—where populations are projected to stagnate or decline—will drop out. In their place: Democratic Republic of the Congo, Ethiopia, Tanzania and E...gypt. All 4 are projected to more double in population.
Top 10 rankings in population growth by 2100 include only 2 non-African nations—Pakistan and the US.
c1China will shrink by 374 million fewer people—more than the entire US population.
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This publication provides guidance to governments, civil society organizations (nongovernmental organizations and community-based organizations) and other partners implementing HIV prevention, care and treatment programs with key populations. This guide is designed to assist these programs in the de...velopment of monitoring systems for frontline workers (such as peer outreach workers, staff outreach supervisors and program managers) to understand performance. It includes comprehensive tools and forms that various levels of staff can use to collect and analyze data to manage and improve a program.
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Key Populations Brief
Accessed November 2017
The Demographic Dividend study on Rwanda assessed the socio-economic and human development potential of our country in the short, medium and long-term period using a comprehensive approach. It generated relevant policy and programme information to guide a well-informed polciy required to propel Rwan...da towards achieving its aspirations of being high middle income country by 2035 and high income country by 2050.
The primary objectives of this study were to assess Rwanda’s prospects for harnessing the demographic dividend and demonstrate priority policy and programme options that the country should adopt in order to optimise its chances of earning a maximum demographic dividend in the context of its youthful population and medium, long-term socio-economic development aspirations.
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UNAIDS/WHO Working group
HIV/AIDS and STI surveillance 2015 / Reference
Participant Manual September 2012
Surveillance of Populations at High Risk for HIV Transmission
The following protocol has been designed to investigate the extent of infection, as determined by seropositivity in the general population, in any country in which COVID-19 virus infection has been reported. Each country may need to tailor some aspects of this protocol to align with public health, l...aboratory and clinical systems, according to capacity, availability of resources and cultural appropriateness. However, using a standardized protocol such as this one below, epidemiological exposure data and biological samples can be systematically collected and shared rapidly in a format that can be easily aggregated, tabulated and analyzed across many different settings globally for timely estimates of COVID-19 virus infection severity and attack rates, as well as to inform public health responses and policy decisions. This is particularly important in the context of a novel respiratory pathogen, such as COVID-19 virus
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The number of confirmed COVID-19 cases detected and reported in each country is influenced by
many factors including limited access and/or utilization of healthcare and COVID-19 testing, limited
surveillance, lack of knowledge amongst the population about when to seek testing, an asymptomatic pres...entation, and other unknown issues. This is true in all countries of the world, and not Africa specific, however there are factors unique to Africa which may also affect the way the virus behaves there. COVID-19 prevalence data are critical for planning effective mitigation strategies and understandingthe true impact of the disease and relevant intervention measures in Africa, which might be quite different from regions with a different population age distribution or risk factor profile.
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The purpose of this document is to provide guidance on the use of pooled sample testing strategy in coronavirus disease (COVID-19)
testing laboratories of the African Union Member States for scaling up SARS-CoV-2 nucleic acid testing capacity with the available resources. The current document descr...ibes the effect of factors such as the prevalence of COVID-19 in the population to be tested, the homogeneity of pools, and the sensitivity of the molecular test in optimal pool size determination. It also highlights the importance of monitoring the prevalence of COVID-19 in a population to be tested and proper validation of the test, to limit the potential for false-negative results. Validation studies to determine the optimal pool size by testing laboratories are recommended as the optimum approach. A safe, simple ‘two-stage pooling’ option has been indicated in this guidance to be used by laboratories until such validation can be achieved.
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Since 2001, several Demographic and Health Surveys (DHS) include HIV
testing. For many countries, in particular in sub-Saharan Africa, DHS are
the only national source of data in general population. Several DHS collect
latitude and longitude of surveyed clusters but the sampling method is not
ap...propriate to derive local estimates: sample size is not large enough for a
direct spatial interpolation.
We developed a generic approach to map spatial regional trends of HIV
prevalence from DHS. We present how our results from Burkina Faso 2003
DHS shed new light on HIV epidemics.
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This publication is a companion document to the NDVP National Deployment and Vaccination Plans guidance, which provides a framework for countries to develop their national strategies. As countries face challenges with erratic vaccine supplies, use of multiple vaccine products with different charact...eristics, and the size of populations and their diversity, this document provides operational guidance and information to support planners and immunization programme managers at the national and sub-national levels on microplanning for COVID-19 vaccination implementation.
This Guide is available in English, French, Arabic, chinese, Portuguese, Spanish, Russian
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ABSTRACT
Objectives: We developed COVID-19 Outbreak Simulator (https://ictr.github.io/covid19-outbreak-simulator/) to quantitatively estimate the effectiveness of preventative and interventive measures to prevent and battle COVID-19 outbreaks for specific populations.
Cholera is a transmissible diarrhoeal infection caused by Vibrio cholerae. Endemic and/or epidemic in over 40 countries (mainly in Africa and Asia), cholera continues to be a major global public health issue.
The World Health Organization (WHO) estimates that the number of cases reported worldwid...e represents in reality only 5 to 10% of actual cases.
This guide is intended for medical and non-medical staff responding to a cholera outbreak. It attempts to provide concrete answers to the questions and problems faced by staff, based on the recommendations of reference organisations, such as WHO and UNICEF, as well as Médecins Sans Frontières’ experience in the field.
It is divided into 8 chapters. Chapter 1, Cholera overview, outlines the epidemiological and clinical features of cholera. Chapter 2, Outbreak investigation, explains the method and stages of a field investigation, from the alert to implementation of initial activities. Chapter 3, Cholera control measures, details measures and tools to prevent and/or control cholera transmission and mortality in populations affected, or at risk of being affected, by an epidemic (curative care, prevention means and health promotion activities). Chapter 4, Strategies for epidemic response, addresses the roll-out strategies of the measures described in Chapter 3 which depend on context (e.g. urban, rural, endemic, non-endemic setting, etc.), resources and particular constraints. Chapter 5, Cholera case management, details the different stages of cholera treatment, from diagnosis through to cure.
Chapter 6, Setting up cholera treatment facilities, focuses on the installation of treatment facilities that vary in size and complexity according to operational requirements (treatment centres and units and oral rehydration points). Chapter 7, Organisation of cholera treatment facilities, describes the organisation of these specialized facilities in terms of human resources, supply, water, hygiene and sanitation, etc. Chapter 8, Monitoring and evaluation, presents the key data to be collected and analysed during an epidemic to facilitate a tailored response and evaluate its quality and effectiveness.
The guide includes various practical tools in the appendices to facilitate activities (e.g. water quality tests, job descriptions, documents, etc.). Moreover, the toolbox also contains additional tools in editable formats (individual patient file, cholera case register, pictograms).
Despite all efforts, it is possible that certain errors may have been overlooked in this guide. Please inform the authors of any errors detected.
To ensure that this guide continues to evolve while remaining adapted to field realities, please send any comments or suggestions.
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Given that only 1.52 million of the 8.75 million people living with type 1 diabetes around the world in 2022 were less than 20 years old, the lack of data available for adult populations presents a stark gap in the research. Without rapid diagnosis and appropriate treatment, type 1 diabetes leads to... diabetic ketoacidosis and rapid death, making awareness and education about the condition critical.
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