The 2015-16 MDHS is a national sample survey that provides up-to-date information on fertility levels; marriage; fertility preferences; awareness and use of family planning methods; child feeding practices; nutrition; adult and childhood mortality; awareness and attitudes regarding HIV/AIDS; women...s empowerment; and domestic violence. The target groups were women and men age 15-49 residing in randomly selected households across the country. In addition to national estimates, the report provides estimates of key indicators for both urban and rural areas in Myanmar and also for the 15 states and regions.
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As the number of transboundary pest and animal and foodborne disease outbreaks rises, so does the number of people who are chronically hungry due to these and other factors. The correlation can be explained by the link between our health and that of the planet. We rely on land and sea for the produc...tion of safe and quality foods for our daily nourishment. Pests and disease epidemics negatively impact the quality, quantity and safety of our food sources, and cripple economic growth and efficiencies in production. Furthermore, the epidemic and endemic levels of the pathogens and disease vectors can be difficult to control. This is why FAO stresses and promotes the special efforts required for cost-effective preventive measures rather than the more expensive control, disinfestation, treatment and disposal measures. When preventive measures are late or difficult, preparedness and contingency plans must be in place to enable rapid response. Early warning systems, based on close monitoring, surveillance, and timely reporting are fundamental to warn and empower communities to safeguard their livelihoods and assets by enhancing disease and pest prevention measures and for government services to take immediate measures to protect communities and national economies.
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Women, the elderly, adolescents, youth, and children,
persons with disabilities, indigenous populations, refugees,
migrants, and minorities experience the highest degree
of socio-economic marginalization. Marginalized people
become even more vulnerable in emergencies.1 This is due
to factors su...ch as their lack of access to effective surveillance
and early-warning systems, and health services. The
COVID-19 outbreak is predicted to have significant impacts
on various sectors.
The populations most at risk are those that:
• depend heavily on the informal economy;
• occupy areas prone to shocks;
• have inadequate access to social services or political
influence;
• have limited capacities and opportunities to cope and
adapt and;
• limited or no access to technologies.
By understanding these issues, we can support the capacity
of vulnerable populations in emergencies. We can give
them priority assistance, and engage them in decision-making
processes for response, recovery, preparedness, and
risk reduction.
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This policy brief has been developed in response to the contemporary challenge of antibiotic resistance (ABR). ABR poses a formidable threat to global health and sustainable development. It is now increasingly recognized that the systematic neglect of cultural factors is one of the biggest obs...tacles to achieving better health outcomes and better standards of living worldwide. Using a cultural contexts of health approach, the policy brief explores the centrality of culture to the challenge of ABR. The brief examines how the prescription and use of antibacterial medicines, the transmission of resistance, and the regulation and funding of research are influenced by cultural, social and commercial, as well as biological and technological factors. The brief moves beyond the ready equation of culture with individual behaviours and demonstrates how culture serve as an enabler of health and provide new possibilities for change.
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The spread of COVID-19 poses a challenge for emerging markets such as those in Africa and Latin America. While governments around the world are suffering from a shortage of ventilators, hospital beds, and personal protective equipment, availability of these items is already extremely limited in some... countries. In Africa, countries including Mali, Liberia, and Burkina Faso have only a few ventilators available to aid their populations, and there is also a lack of reliable oxygen supplies, ICUs, and healthcare workers to treat the sick. Additionally, many countries in Africa are already suffering from food insecurity and weak economies, which will worsen the long-term effects of coronavirus.
Keeping these factors in mind, GeoPoll conducted a remote study in 12 countries in sub-Saharan Africa on the effects coronavirus is already having on people throughout the region.
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It is often observed that educated women have lower birth rates than do the less educated, inviting a causal interpretation. However, educated women also differ from those who have never attended school in a
variety of other ways: the two factors are multiply related. This article analyzes the rela...tionship between schooling and fertility in contemporary Cameroon as both a statistical and a social phenomenon, using data from the 1998 Cameroon DHS alongside ethnographic field data collected by
the author. T
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The report finds that, as of 3 November, in 87 countries with age-disaggregated data, children and adolescents under 20 years of age accounted for 1 in 9 of COVID-19 infections, or 11 per cent of the 25.7 million infections reported by these countries. More reliable, age-disaggregated data on infect...ion, deaths and testing is needed to better understand how the crisis impacts the most vulnerable children and guide the response
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Noncommunicable diseases (NCDs) such as cancer, cardiovascular disease, diabetes and chronic respiratory diseases and their risk factors are an increasing public health and development challenge in Kazakhstan. This report provides evidence through three analyses that NCDs reduce economic output and ...discusses potential options in response, outlining details of their relative returns on investment. An economic burden analysis shows that economic losses from NCDs (direct and indirect costs) comprise 2.3 trillion tenge, equivalent to 4.5% of gross domestic product in 2017. An intervention costing analysis provides an estimate of the funding required to implement a set of policy interventions for prevention and clinical interventions. A cost–benefit analysis compares these implementation costs with the estimated health gains and identifies which policy packages would give the greatest returns on investment. For example, the salt policy package achieved a benefit-to-cost ratio of 118.4 over 15 years, a return of more than 118 tenge for every 1 tenge invested.
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INTRODUCTION: Health service use among the public can decline during outbreaks and had been predicted among low and middle-income countries during the COVID-19 pandemic. In March 2020, the government of the Democratic Republic of the Congo (DRC) started implementing public health measures across Kin...shasa, including strict lock-down measures in the Gombe health zone.
METHODS: Using monthly time series data from the DRC Health Management Information System (January 2018 to December 2020) and interrupted time series with mixed effects segmented Poisson regression models, we evaluated the impact of the pandemic on the use of essential health services (outpatient visits, maternal health, vaccinations, visits for common infectious diseases and non-communicable diseases) during the first wave of the pandemic in Kinshasa. Analyses were stratified by age, sex, health facility and lockdown policy (i.e, Gombe vs other health zones).
RESULTS: Health service use dropped rapidly following the start of the pandemic and ranged from 16% for visits for hypertension to 39% for visits for diabetes. However, reductions were highly concentrated in Gombe (81% decline in outpatient visits) relative to other health zones. When the lock-down was lifted, total visits and visits for infectious diseases and non-communicable diseases increased approximately twofold. Hospitals were more affected than health centres. Overall, the use of maternal health services and vaccinations was not significantly affected.
CONCLUSION: The COVID-19 pandemic resulted in important reductions in health service utilizsation in Kinshasa, particularly Gombe. Lifting of lock-down led to a rebound in the level of health service use but it remained lower than pre-pandemic levels.
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Weekly Epidemiological Record No 9, 2022, 97, 61–80
This position paper supersedes the 2016 publication, “Malaria vaccine: WHO position paper-2016.”1 It includes the updated WHO recommendations on the wider use of the RTS,S/AS01 vaccine for the reduction of malaria morbidity and mortality in ...children living in areas of moderate to high malaria transmission. It also incorporates findings from the evaluation of the WHO-coordinated Malaria Vaccine Implementation Programme (MVIP), recommended by SAGE and MPAG in 2015, and from additional studies since 2015.
This paper does not include findings on vaccine efficacy in infants first vaccinated at 6–12 weeks of age. Because of the lower vaccine efficacy observed in this age category, WHO did not recommend pilot implementation or RTS,S/AS01 vaccine introduction for these young infants. Recommendations2 on the use of RTS,S/AS01 vaccine were discussed by SAGE and MPAG during a joint session in October 2021; evidence presented at the meeting can be accessed at https://terrance.who.int/mediacentre/data/ sage/SAGE_eYB_Oct2021.pdf
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PlosOne https://doi.org/10.1371/journal.pone.0165797; Food production is a major driver of greenhouse gas (GHG) emissions, water and land use, and dietary risk factors are contributors to non-communicable diseases. Shifts in dietary patterns can therefore potentially provide benefits for both the en...vironment and health. However, there is uncertainty about the magnitude of these impacts, and the dietary changes necessary to achieve them.
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PNAS | March 4, 2014 | vol. 111 | no. 9
Malaria is an important disease that has a global distribution and significant health burden. The spatial limits of its distribution and seasonal activity are sensitive to climate factors, as well as the local capacity to control the disease. Malaria is also ...one of the few health outcomes that has been modeled by more than one research group and can therefore facilitate the first model intercomparison for health impacts under a future with climate change. We used bias-corrected temperature and rainfall simulations from the Coupled Model Intercomparison Project Phase 5 climate models to compare the metrics of five statistical and dynamical malaria impact models for three future time periods (2030s, 2050s, and 2080s). We evaluated three malaria outcome metrics at global and regional levels: climate suitability, additional population at risk and additional person-months at risk across the model outputs. The malaria projections were based on five different global climate models, each run under four emission scenarios (Representative Concentration Pathways, RCPs) and a single population projection. We also investigated the modeling uncertainty associated with future projections of populations at risk for malaria owing to climate change. Our findings show an overall global net increase in climate suitability and a net increase in the population at risk, but with large uncertainties. The model outputs indicate a net increase in the annual person-months at risk when comparing from RCP2.6 to RCP8.5 from the 2050s to the 2080s. The malaria outcome metrics were highly sensitive to the choice of malaria impact model, especially over the epidemic fringes of the malaria distribution.
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