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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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The importance of robust mortality surveillance systems cannot be overstated in an era marked by increasing global health challenges where health threats loom large and population dynamics continue to evolve. Accurate and timely mortality
...
data is essential for identifying trends and detecting emerging health threats, evaluating the impact of interventions, and guiding evidence-based policy decisions.
This framework outlines a holistic approach to strengthening routine mortality surveillance systems, considering the unique contextual factors and challenges faced by African countries. It emphasizes the importance of establishing efficient data collection mechanisms, enhancing data quality and completeness, and promoting data sharing and collaboration among stakeholders.
Moreover, the framework recognizes the pivotal role of technology in the integration of data from fragmented mortality data sources. It highlights the potential of innovative data capture methods, advanced analytics, and real-time reporting systems to enhance mortality data’s accuracy, efficiency, and timeliness.
The continental framework for mortality surveillance aligns with Africa CDC’s mission and strategic goal by serving as a fundamental component in strengthening public health systems, enhancing disease surveillance capacities and capabilities, informing evidence-based policies and interventions, and promoting collaboration and coordination among African countries to address health challenges and improve health outcomes on the continent.
The successful implementation of this framework requires collective commitment and concerted efforts from governments, health institutions, and the international community. We hope this document will serve as a catalyst for transformative change, enabling countries to build resilient mortality surveillance systems that protect public health, save lives, and contribute to evidence-based decision-making.
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This report presents the results of the official United Nations estimates and projections of urban and rural populations for 233 countries and areas of the world and for close to 1,900 urban settlements with 300,000 inhabitants or more in 2018, as published in World Urbanization Prospects: The 2018
...
Revision. The data in this revision are consistent with the total populations estimated and projected according to the medium variant of the 2017 Revision of the United Nations global population estimates and projections, published in World Population Prospects: The 2017 Revision. This revision updates and supersedes previous estimates and projections published by the United Nations.
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31 Janaury 2021
SCORE for health data technical package. The first global assessment on the status and capacity of health information systems in 133 countries, covering 87% of the global population
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It identifies gaps and provides guidance for investment in areas that can have the greatest impact on the quality, availability, analysis, accessibility and use of health data.
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Census Report Volume 4-A
This thematic report presents findings on fertility and nuptiality in Myanmar. The analysis hows that the total fertility rate is 2.5 children per woman at the Union level, 1.9 children per woman for urban areas, and 2.8 children per woman for rural areas. Total fertili ... ty for States and Regions varies from a high of 5.0 children per woman for Chin State to a low of 1.8 children per woman for Yangon Region. Total fertility appears to have declined at a rate of at least one child per woman per decade between 1970 and 2000. This relatively rapid decline apparently ceased sometime during the 1990s or 2000s. Estimates from the 2001 and 2007 surveys suggest that the level of fertility may have fluctuated between 2000 and 2014, but with no overall trend up or down. The marital status data shows an exceptionally high proportion of women remaining never married at age 50. more
This thematic report presents findings on fertility and nuptiality in Myanmar. The analysis hows that the total fertility rate is 2.5 children per woman at the Union level, 1.9 children per woman for urban areas, and 2.8 children per woman for rural areas. Total fertili ... ty for States and Regions varies from a high of 5.0 children per woman for Chin State to a low of 1.8 children per woman for Yangon Region. Total fertility appears to have declined at a rate of at least one child per woman per decade between 1970 and 2000. This relatively rapid decline apparently ceased sometime during the 1990s or 2000s. Estimates from the 2001 and 2007 surveys suggest that the level of fertility may have fluctuated between 2000 and 2014, but with no overall trend up or down. The marital status data shows an exceptionally high proportion of women remaining never married at age 50. more
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 populatio
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n displacement during crises. Composed of several tools and processes, DTM regularly captures and 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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The WHO Global Antimicrobial Resistance and Use Surveillance System (GLASS) was launched in 2015 to foster AMR surveillance and inform strategies to contain AMR. The system started with surveillance of AMR in bacteria causing common human infections and has expanded its scope to include surveillance
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of antimicrobial consumption (AMC), invasive fungal infections, and a One Health surveillance model relevant to human health. To meet future challenges, it is in continuous evolution to enhance the quality and representativeness of data to inform the AMR burden accurately. As of the end of 2022, 127 countries, territories and areas participate in GLASS.
The fifth GLASS report, produced in collaboration with Member States, summarizes 2020 data on AMR rates in common bacteria from countries, territories, and areas. The report brings new features, including analyses of population testing coverage or AMR trends. For the first time, the report presents 2020 data on AMC at the national level. A new interactive dashboard allow users to explore AMR and AMC global data, country profiles and download the data.
This report marks the end of the early implementation phase of GLASS. In addition to presenting data collected through the latest data call, this report provides a summary of five years of national AMR surveillance data contributed to GLASS from its initiation, presents AMR findings in the context of progress of country participation in GLASS and in global AMR surveillance coverage and laboratory quality assurance systems at (sub)national level.
Patterns of antimicrobial consumption are presented by country with a particular focus on antibacterials. The report also presents the antimicrobial consumption according to the WHO AWaRe antibiotic classification, for penicillins and cephalosporines. From a One Health perspective, the report presents antimicrobial consumption data in the human sector expressed in tons to allow a comparison with antimicrobial consumption from other sectors (not included in this report).
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The Relationship between the Health Service Environment and Service Utilization: Linking Population Data to Health Facilities Data in Haiti and Malawi.
Wenjuan Wang, Rebecca Winter, Lindsay Mallick, Lia Florey, Clara Burgert-Brucker, and Emily Carter
ICF International
(2015)
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DHS Analytical Studies No. 51
Child Health, Family Planning, Geographic Information, HIV, Malaria, Maternal Health
In the region, it is estimated that there are over 650 million persons with disabilities. However, without accurate, timely and disaggregated data, countries are unable to develop effective policies and programmes, monitor the wellbeing of persons w
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ith disabilities and evaluate the equity and impact of development efforts. This endangers country commitments to ‘leave no one behind’ and undermines their obligations to the Convention on the Rights of Persons with Disabilities.
This groundbreaking report demonstrates the importance of ensuring data is inclusive and provides recommendations for immediate action in order to improve the collection, analysis and reporting of disability data. We hope this report will be used as a tool for future advocacy and ultimately better data for all.
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Excessive consumption of salt (more than 5 g per day) raises blood pressure, a major risk factor for cardiovascular diseases such as heart disease and stroke, and is the leading cause of death in the WHO European Region. Many countries in the Region have initiated national salt reduction strategies,
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including public awareness campaigns, reformulation, and front-of-pack nutrition labelling. However, despite ongoing efforts, surveillance data indicate that salt intake still far exceeds the limits recommended by WHO to protect health.
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Estimating the size of key affected populations (KAP) provides important data for planning and implementing an effective response to the HIV epidemic. In the Philippines, these KAP include males who have sex with males (MSM), female sex workers (FSW
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), and injecting drug users (IDU). Given the difficulty in reaching these populations, as well as their high mobility, the process consequently entailed a specific methodology to directly estimate the size of KAP.
The national estimate of MSM was 531,500 or 2.2% (1.8%-3.2%) of males aged 15-49. Within this MSM estimate, figures for transgender women (TGW) and male transactional sex workers (MSW) were determined. The national estimate for TGW was 122,800 or about 0.50% (0.40%-0.75%) of males aged 15-49, and 23% of the MSM population. Meanwhile, MSW comprised 0.35% (0.29%-0.53%) of the male population aged 15-49 and 16% of the MSM population, giving a best estimate of 86,600.
The estimate of combined RFSW and FFSW was 66,100 or 0.28% (0.19%-0.40%) of females aged 15-49. Meanwhile, there are approximately 10,000 to 21,700 IDU or 0.04%-0.09% of males aged 15-49. more
The national estimate of MSM was 531,500 or 2.2% (1.8%-3.2%) of males aged 15-49. Within this MSM estimate, figures for transgender women (TGW) and male transactional sex workers (MSW) were determined. The national estimate for TGW was 122,800 or about 0.50% (0.40%-0.75%) of males aged 15-49, and 23% of the MSM population. Meanwhile, MSW comprised 0.35% (0.29%-0.53%) of the male population aged 15-49 and 16% of the MSM population, giving a best estimate of 86,600.
The estimate of combined RFSW and FFSW was 66,100 or 0.28% (0.19%-0.40%) of females aged 15-49. Meanwhile, there are approximately 10,000 to 21,700 IDU or 0.04%-0.09% of males aged 15-49. more
This study provides information about vulnerabilities within the targeted population and contributes to reflection within UNHCR on how to interpret their multisectorial Home Visit assessments. By exploring relationships between vulnerability indicat
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ors and other data collected, the report outlines key trends and relationships. The report details predefined VAF indicators and then provides an in-depth descriptive analysis for each sector
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Every day in 2020, approximately 800 women died from preventable causes related to pregnancy and childbirth - meaning that a woman dies around every two minutes.
Sustainable Development Goal (SDG) target 3.1 is to reduce maternal mortality to less than 70 maternal deaths per 100 000 live births by
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2030.
The United Nations Maternal Mortality Estimation Inter-Agency Group (MMEIG) – comprising WHO, the United Nations Children’s Fund (UNICEF), the United Nations Population Fund (UNFPA), the World Bank Group and the United Nations Department of Economic and Social Affairs, Population Division (UNDESA/Population Division) has collaborated with external technical experts on a new round of estimates covering 2000 to 2020. The estimates represent the most up to date, internationally-comparable MMEIG estimates of maternal mortality, using refined input data and methods from previous rounds.
The report presents internationally comparable global, regional and country-level estimates and trends for maternal mortality between 2000 and 2020.
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Surveillance tools for meningitis sentinel hospital surveillance: field guide to rapidly estimate the hospital catchment population (denominator) and the annual rate of hospitalisations
World Health Organization
(2015)
The document will provide information for Ministries of Health and hospital sentinel sites on why and how to determine the denominator of at-risk children <5 years of age and rate of meningitis hospitalizations for a sentinel hospital site conducting IB-VPD surveillance. Such a methodology is currently unavailable and this estimation is critical to enable interpretation of surveillance
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data, particularly pre- and post- vaccine introduction
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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
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. These people experience varying combinations of poor 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 more
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 more
Reporting period: January 2014 – December 2014
The human immunodeficiency virus (HIV) epidemic in Myanmar is concentrated among men who have sex with men (MSM), people who inject drugs (PWID) and female sex workers (FSW). HIV prevalence in the adult ... population aged 15 years and older was estimated at 0.54% in 2014. But data from HIV Sentinel Sero-Surveillance (HSS) indicates higher prevalence in 2014 among key populations: FSW 6.3%, MSM 6.6% and PWID 23.1%. Compared to 2012 data, the prevalence has declined from 7.1% in FSW and 8.9% in MSM, but has increased from 18% in PWID.
Epidemiological modelling suggests that in 2014 there were around 212,000 people living with HIV (PLHIV) in Myanmar, 34% of whom were females. Nearly 11,000 people died of HIV-related illnesses, compared to approximately 15,000 in 2011. An estimated 9,000 new infections occurred in 2014. more
The human immunodeficiency virus (HIV) epidemic in Myanmar is concentrated among men who have sex with men (MSM), people who inject drugs (PWID) and female sex workers (FSW). HIV prevalence in the adult ... population aged 15 years and older was estimated at 0.54% in 2014. But data from HIV Sentinel Sero-Surveillance (HSS) indicates higher prevalence in 2014 among key populations: FSW 6.3%, MSM 6.6% and PWID 23.1%. Compared to 2012 data, the prevalence has declined from 7.1% in FSW and 8.9% in MSM, but has increased from 18% in PWID.
Epidemiological modelling suggests that in 2014 there were around 212,000 people living with HIV (PLHIV) in Myanmar, 34% of whom were females. Nearly 11,000 people died of HIV-related illnesses, compared to approximately 15,000 in 2011. An estimated 9,000 new infections occurred in 2014. more
Population Size Estimation of Female Sex Workers In Tbilisi and Batumi, Georgia 2014
Dr. I. Chikovani; Dr. N. Shengelia; L. Sulaberidze; N. Tsereteli; et al.
The Global Fund To fight AIDS, Tuberculosis and Malaria; Curatio International Foundation; Tanadgoma
(2014)
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Study Report August 2014
Curatio International Foundation (CIF) and the Association Tanadgoma would like to acknowledge the financial support provided by GFATM under the project “Establishment of evidence base for national HIV/AIDS program by strengthening of HIV/AIDS surveillance system in t
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he country” (GEO-H-GPIC), which made this study possible.
The report was prepared by Dr. Ivdity Chikovani, Dr. Natia Shengelia, Lela Sulaberidze (CIF) and Nino Tsereteli (Tanadgoma).
Special thanks are extended to international consultants – Ali Mirzazadeh (MD, MPH, PhD Postdoctoral Scholar, University of California, San Francisco Institute for Health Policy Studies & Global Health Sciences) for his significant contribution in study preparation, protocol and questionnaire design and data analysis and Abu S. Abdul-Quader (PhD, Epidemiologist, Global AIDS Program Centers for Disease Control and Prevention) for his valuable input in refining methodology and overall guidance during the study implementation.
Special thanks are extended to international consultants – Abu S. Abdul-Quader (PhD, Epidemiologist, Global AIDS Program, Centers for Disease Control and Prevention) for his valuable input in refining methodology and overall guidance during the study implementation and Ali Mirzazadeh (MD, MPH, PhD Postdoctoral Scholar, University of California, San Francisco Institute for Health Policy Studies & Global Health Sciences) for his significant contribution in the NSU study preparation, protocol and questionnaire design and data analysis.
Authors appreciate a highly professional work of Tanadgoma staff: the survey coordinator KhatunaKhazhomia; the interviewers: Ketevan Tchelidze, Nino Kipiani, Koba Bitsadze, Kakhaber Akhvlediani, ZazaBabunashvili, Rati Tsintsadze and the social workers: Archil Rekhviashvili, Tea Chakhrakia, Irina Bregvadze, Kakhaber Kepuladze, Ketevan Jibladze and Shota Makharadze for their input in the recruitment process.
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Developed as part of the UN Women–WHO Global Joint Programme on Violence Against Women Data, this briefing note focuses on the measurement of violence against women with disability and is one in a series of methodological briefing notes for streng
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thening the measurement and data collection of violence against particular groups of women or specific aspects of violence against women.
The briefing note is meant for researchers, national statistics offices, and others involved in data collection on violence against women. It provides an overview of the challenges in the availability, measurement, and collection of data on violence against women with disability and outlines recommendations for good practice in measurement, with the aim of strengthening ongoing and future data collection efforts and increasing the availability of such data.
The inclusion of women with disability and the issue of disability within population-based surveys and research on violence against women is necessary for an improved understanding of populations of women at specific risk of violence. This knowledge would also allow more tailored prevention strategies and response/services and programmes to be designed in a way that addresses the specific needs of women with disability.
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The World Health Organization and the Global Fund to Fight AIDS, Tuberculosis and Malaria are part of a group of agencies working together to accelerate progress towards the health-related SDGs through the Global Action Plan for Healthy Lives and Well-being for All. Understanding patterns of inequal
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ities in these diseases is essential for taking strategic, evidence-informed action to realize our shared vision of ending the epidemics of HIV, TB and malaria.
This report presents the first comprehensive analysis of the magnitude and patterns of socioeconomic, demographic and geographic inequalities in disease burden and access to services for prevention and treatment.
The results confirm there have been improvements in service coverage and decreased disease burden at the national level over the past decade. But they also reveal an uncomfortable reality: unfair inequalities between population subgroups within countries are widespread and have remained largely unchanged over the past decade. For some disease indicators, inequalities are even worsening.
Moreover, the report points to the persistent lack of available data to fully understand inequality patterns in HIV, TB and malaria. Collecting data to improve the monitoring of inequalities in these diseases is vital to develop targeted responses for impact.
There are, encouragingly, isolated successes in reducing inequities. Change is possible when deliberate action is taken to reach disadvantaged populations.
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