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Outdoor air pollution is one of the world's largest health and environmental problems. The Global Burden of Disease is a major global study on the causes and risk factors for death. These estimates of the annual number of deaths attributed to a wide
...
range of risk factors are shown here. This chart is shown for the global total but can be explored for any country or region using the "change country or region" toggle.
more
A manual for impact assessments. The SCH Practical and Precision Assessment (SPPA) strategy is an evidence-based approach for conducting impact assessments for SCH. The SPPA was identified by programme managers and SCH experts from the African region as a feasible and sufficiently accurate approach
...
after reviewing and discussing the results of a multi-country study. This manual describes the resulting Practical and Precision Assessments approach and includes a discussion of the underlying concepts, factors to consider when determining what approach is appropriate, and how to interpret the collected data. The manual also includes annexes with standard operating procedures for conducting the stool and urine analyses.
more
Rwanda 2010: A Dramatic Change in Reproductive Behavior
Westoff, C.F., F. Ngabo, C. Munyanshongore, M.A. Umubyeyi, and E. Kagame
Calverton, Maryland, USA: ICF International.
(2013)
C2
DHS Further Analysis Reports No. 90 - In Rwanda, between 2005 and 2010, there have been radical declines in the desired number of children, actual fertility, and child mortality along with a large increase in contraceptive prevalence. This study rev
...
iews trends in some of these measures. Multivariate analyses evaluate the relative importance for
the desired number of children of years of schooling, wealth, urban residence, media exposure, child mortality, and attitudes toward gender equality. Variations in reproductive preferences, the total fertility rate, and unmet need for family planning are mapped for the 30 districts of Rwanda. The explanations for the rapid changes in reproductive attitudes and behavior are clearly related to the concerns of the country, the rapid rate of population growth, and its implications for economic development and reproductive health.
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Journal of the International AIDS Society 2017, 20(Suppl 4):21644
National AIDS Programme in Myanmar has made significant progress in scaling up antiretroviral treatment (ART) services and recognizes the importance of differentiated care for people living with HIV. Indeed, long centred around t ... he hospital and reliant on physicians, the country's HIV response is undergoing a process of successful decentralization with HIV care increasingly being integrated into other health services as part of a systematic effort to expand access to HIV treatment. This study describes implementation of differentiated care in Médecins Sans Frontières (MSF)‐supported programmes and reports its outcomes.
https://doi.org/10.7448/IAS.20.5.21644 more
National AIDS Programme in Myanmar has made significant progress in scaling up antiretroviral treatment (ART) services and recognizes the importance of differentiated care for people living with HIV. Indeed, long centred around t ... he hospital and reliant on physicians, the country's HIV response is undergoing a process of successful decentralization with HIV care increasingly being integrated into other health services as part of a systematic effort to expand access to HIV treatment. This study describes implementation of differentiated care in Médecins Sans Frontières (MSF)‐supported programmes and reports its outcomes.
https://doi.org/10.7448/IAS.20.5.21644 more
The second ECDC/EFSA/EMA joint report on the integrated analysis of antimicrobial consumption (AMC) and antimicrobial resistance (AMR) in bacteria from humans and food-producing animals addressed data obtained by the Agencies’ EU-wide surveillance networks for 2013–2015. AMC in both sectors, exp
...
ressed in mg/kg of estimated biomass, were compared at country and European level. Substantial variations between countries were observed in both sectors. Estimated data on AMC for pigs and poultry were used for the first time. Univariate and multivariate analyses were applied to study associations between AMC and AMR. In 2014, the average AMC was higher in animals (152 mg/kg) than in humans (124 mg/kg), but the opposite applied to the median AMC (67 and 118 mg/kg, respectively). In 18 of 28 countries, AMC was lower in animals than in humans. Univariate analysis showed statistically-significant (p < 0.05) associations between AMC and AMR for fluoroquinolones and Escherichia coli in both sectors, for 3rd- and 4th-generation cephalosporins and E. coli in humans, and tetracyclines and polymyxins and E. coli in animals. In humans, there was a statistically-significant association between AMC and AMR for carbapenems and polymyxins in Klebsiella pneumoniae. Consumption of macrolides in animals was significantly associated with macrolide resistance in Campylobacter coli in animals and humans. Multivariate analyses provided a unique approach to assess the contributions of AMC in humans and animals and AMR in bacteria from animals to AMR in bacteria from humans. Multivariate analyses demonstrated that 3rd- and 4th-generation cephalosporin and fluoroquinolone resistance in E. coli from humans was associated with corresponding AMC in humans, whereas resistance to fluoroquinolones in Salmonella spp. and Campylobacter spp. from humans was related to consumption of fluoroquinolones in animals. These results suggest that from a ‘One-health’ perspective, there is potential in both sectors to further develop prudent use of antimicrobials and thereby reduce AMR.
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This document summarizes the findings of the STEPS survey in Ukraine and compares them with the results of STEPS surveys carried out in other countries in the WHO European Region, as well as with selected other surveys in Ukraine. The survey is designed to be repeated approximately every five years
...
in each country to allow assessment of trends.
The study revealed very high prevalence of NCDs and their behavioural and biological risk factors in Ukraine. Data on behavioural risk factors include tobacco and alcohol use, diet, and physical activity. Data on biological risk factors include overweight and obesity, blood pressure, blood glucose, and blood lipid levels.
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To guide One Health capacity building efforts in the Republic of Guinea in the wake of the 2014–2016 Ebola virus disease (EVD) outbreak, we sought to identify and assess the existing systems and structures for zoonotic disease detection and control. We partnered with the government ministries resp
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onsible for human, animal, and environmental health to identify a list of zoonotic diseases – rabies, anthrax, brucellosis, viral hemorrhagic fevers, trypanosomiasis and highly pathogenic avian influenza – as the country's top priorities. We used each priority disease as a case study to identify existing processes for prevention, surveillance, diagnosis, laboratory confirmation, reporting and response across the three ministries. Results were used to produce disease-specific systems “maps” emphasizing linkages across the systems, as well as opportunities for improvement. We identified brucellosis as a particularly neglected condition. Past efforts to build avian influenza capabilities, which had degraded substantially in less than a decade, highlighted the challenge of sustainability. We observed a keen interest across sectors to reinvigorate national rabies control, and given the regional and global support for One Health approaches to rabies elimination, rabies could serve as an ideal disease to test incipient One Health coordination mechanisms and procedures. Overall, we identified five major categories of gaps and challenges: (1) Coordination; (2) Training; (3) Infrastructure; (4) Public Awareness; and (5) Research. We developed and prioritized recommendations to address the gaps, estimated the level of resource investment needed, and estimated a timeline for implementation. These prioritized recommendations can be used by the Government of Guinea to plan strategically for future One Health efforts, ideally under the auspices of the national One Health Platform. This work demonstrates an effective methodology for mapping systems and structures for zoonotic diseases, and the benefit of conducting a baseline review of systemic capabilities prior to embarking on capacity building efforts.
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Risk factors for noncommunicable diseases in Ukraine in 2019. This document summarizes the findings of the STEPS survey in Ukraine and compares them with the results of STEPS surveys carried out in other countries in the WHO European Region, as well as with selected other surveys in Ukraine. The sur
...
vey is designed to be repeated approximately every five years in each country to allow assessment of trends.
The study revealed very high prevalence of NCDs and their behavioural and biological risk factors in Ukraine. Data on behavioural risk factors include tobacco and alcohol use, diet, and physical activity. Data on biological risk factors include overweight and obesity, blood pressure, blood glucose, and blood lipid levels.
more
Liberia: Demographic and Health Survey 2019-2020
Liberia Institute of Statistics and Geo-Information Services (LISGIS) Monrovia, Liberia
The DHS Program ICF
(2021)
C2
The LDHS provides an opportunity to inform policy and provide data for planning, implementation, and monitoring and evaluation of national health programs. It is designed to provide up-to-date information on health indicators including fertility levels, sexual activity, fertility preferences, awaren
...
ess and use of family
planning methods, breastfeeding practices, nutritional status of children, early childhood and maternal mortality, maternal and child health, and awareness and behaviors regarding HIV/AIDS and other sexually transmitted infections. The study also incorporated measurements of HIV, hepatitis B, and hepatitis Cprevalence along with seroprevalence of Ebola virus disease antibodies, the results of which will be included in future addendums. In addition to presenting national estimates, the report provides estimates of key indicators for both rural and urban areas, the country’s 15 counties, and the capital, Monrovia.
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Background and aims: Current coverage of mental health care in low- and middle-income countries is limited, not only in terms of access to services but also in terms of financial protection of persons in need of care and treatment. This is especially pertinent considering the established relationshi
...
p between mental illness and poverty and the need to ensure the financial risk protection of persons with mental disorders and their families as part of country's efforts to attain universal health coverage. This study set out to review the health and socio-economic contexts of Nigeria as well as to generate strategies for sustainable mental health financing that will be feasible, within the specific context of the country.
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Background: Donor countries in the Middle East and North Africa (MENA) including Saudi Arabia, Kuwait and United Arab Emirates (UAE) have been among the largest donors in the world. However, little is known about their contributions for health. In this stu
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dy, we addressed this gap by estimating the amount of development assistance for health (DAH) contributed by MENA country donors from 2000 to 2017. Methods: We tracked DAH provided and received by the MENA region leveraging publicly available development assistance data in the Development Assistance Committee (DAC) database of the Organisation for Economic Cooperation and Development (OECD), government agency reports and financial statements from key international development agencies. We generated estimates of DAH provided by the three largest donor countries in the MENA region (UAE, Kuwait, Saudi Arabia) and compared contributions to their relative gross domestic product (GDP) and government spending; We captured DAH contributions by other MENA country governments (Egypt, Iran, Qatar, Turkey, etc.) disbursed through multilateral agencies. Additionally, we compared DAH contributed from and provided to the MENA region.
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Background: The amount of resources, particularly prepaid resources, available for health can affect access to health care and health outcomes. Although health spending tends to increase with economic development, tremendous variation exists among health financing systems. Estimates of future spendi
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ng can be beneficial for policy makers and planners, and can identify financing gaps. In this study, we estimate future gross domestic product (GDP), all-sector government spending, and health spending disaggregated by source, and we compare expected future spending to potential future spending. Methods: We extracted GDP, government spending in 184 countries from 1980–2015, and health spend data from 1995–2014. We used a series of ensemble models to estimate future GDP, all-sector government spending, development assistance for health, and government, out-of-pocket, and prepaid private health spending through 2040. We used frontier analyses to identify patterns exhibited by the countries that dedicate the most funding to health, and used these frontiers to estimate potential health spending for each low-income or middle-income country. All estimates are inflation and purchasing power adjusted.
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The majority of Countdown countries did not reach the fourth Millennium Development Goal (MDG 4) on reducing child mortality, despite the fact that donor funding to the health sector has drastically increased. When tracking aid invested in child survival, previous studies have exclusively focused on
...
aid targeting reproductive, maternal, newborn, and child health (RMNCH). We take a multi-sectoral approach and extend the estimation to the four sectors that determine child survival: health (RMNCH and non-RMNCH), education, water and sanitation, and food and humanitarian assistance (Food/HA). Methods and findings: Using donor reported data, obtained mainly from the OECD Creditor Reporting System and Development Assistance Committee, we tracked the level and trends of aid (in grants or loans) disbursed to each of the four sectors at the global, regional, and country levels. We performed detailed analyses on missing data and conducted imputation with various methods. To identify aid projects for RMNCH, we developed an identification strategy that combined keyword searches and manual coding. To quantify aid for RMNCH in projects with multiple purposes, we adopted an integrated approach and produced the lower and upper bounds of estimates for RMNCH, so as to avoid making assumptions or using weak evidence for allocation. We checked the sensitivity of trends to the estimation methods and compared our estimates to that produced by other studies. Our study yielded time-series and recipient-specific annual estimates of aid disbursed to each sector, as well as their lower- and upper-bounds in 134 countries between 2000 and 2014, with a specific focus on Countdown countries. We found that the upper-bound estimates of total aid disbursed to the four sectors in 134 countries rose from US$ 22.62 billion in 2000 to US$ 59.29 billion in
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The study analyses the intersection of gender with disability issues by combining economic and social analysis across four states in India by using both quantitative and qualitative methods including gender analysis of disability budgets.
Biennial Report. SUBMITTED TO THE UNITED NATIONS GENERAL ASSEMBLY SPECIAL SESSION ON HIV AND AIDS
Reporting period: January 2012 – December 2013
Accessed online August 2018
Country perceptions for implementation of the new multi-drug resistant TB (MDR-TB) medicines.
F. Brigden; M. Ya Diul; R. H.Crespo, L. Ditiu, A. Kurats, etc al.
Stop TB Partnership to reach; Medecins Sans Frontieres
(2017)
C1
Report: A survey conducted among the 27 high MDR-TB burden countries.
March – July 2015
Stop TB Partnership in collaboration with Medecins Sans Frontieres (MSF).
Accessed November 2017.
The Look Back Study (LBS) focuses on the water and sanitation and hygiene (WASH) component of the project but some additional information was collected along side the WASH data. This data has been compared to the baseline survey data that was report
...
ed at start of the project (see tables in annex D to this report).
more
