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Publication Years
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1
This document is part of the process for improving the quality of care in family planning. Medical eligibility criteria for contraceptive use (MEC), the first edition of which was published in 1996, prsents current World Health Organization (WHO) gu
...
idance on the safety of various contraceptive e-
methods for use in the context of specific health conditions and characteristics. This is the fifth edtion of the MEC –the latest in the series of periodic updates
more
WHO Living guideline: Drugs to prevent COVID-19
recommended
Interim guidance 2 march 2021
Current use of drugs to prevent COVID-19 is variable, reflecting large-scale uncertainty. Numerous randomized trials of many different drugs are underway to inform practice. This first version of the Drugs to prevent COVID-19: A WHO living guideline contains new inform
...
ation and a recommendation on hydroxychloroquine. It follows the publication of six trials synthesized in a living network meta-analysis (NMA).
more
Integrated management of childhood illness. The last update was in the IMCI chart booklet in 2014, but since then there have been significant updates on the management of sick young infant (SYI) aged up to 2 months. This 2019 update of the sick young infant section Management of the sick young infan
...
t age up to 2 months: IMCI chart booklet. supersedes the 2014 IMCI chart booklet. The new updates reflect the recent guidelines on Managing possible serious bacterial infection (PSBI) in young infants when referral is not feasible published in 2015. It includes assessment, classification and referral of SYI with PSBI; and outpatient treatment of SYI with local infection or fast breathing (pneumonia) in infants 7-59 days old. Other updates include: a new section on how to reassess, classify and treat SYI with PSBI when referral is not feasible in outpatient health facilities by IMNCI trained health workers; changes in assessment and management of young infants for HIV infection; and identification of infants less than 7 days of who need Kangaroo Care.
more
Malaria vaccine: WHO position paper - March 2022
recommended
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
more
India is the world’s second most polluted country. Air pollution shortens average Indian life expectancy by 5 years,
relative to what it would be if the World Health Organization (WHO) guideline fine particulate pollution (PM2.5) of 5 μg/m3 was
...
met. Some areas of India fare much worse than average, with air pollution shortening lives by almost 10
years in the National Capital Territory of Delhi, the most polluted city in the world.
more
Bangladesh is the world’s most polluted country. Air pollution shortens the average Bangladeshi’s life expectancy by 6.9 years, relative to what it would be if the World Health Organization (WHO) guideline of 5 μg/m³ was met. Some areas of Ban
...
gladesh fare much worse than average, with air pollution shortening lives by nearly 9 years in Dhaka, the country’s most polluted city.
more
Pakistan is the world’s fourth most polluted country. Air pollution shortens the average Pakistani’s life expectancy by 3.8 years, relative to what it would be if the World Health Organization (WHO) guideline of 5 μg/m3 was met.1 Some areas of
...
Pakistan fare much worse than average, with air pollution shortening lives by almost 7 years in the country’s most polluted regions, like Lahore and Peshawar.
more
Nepal is the world’s third most polluted country. Air pollution shortens average Nepalese life expectancy by 4.1 years, relative to what it would be if the World Health Organization (WHO) guideline of 5 μg/m3 was met.1 The highest concentrations
...
of air pollution are observed in Nepal’s southwestern districts, which share their borders with the highly-polluted Indo-Gangetic Plain of India. Here, residents stand to lose nearly 7 years of life expectancy.
more
Event-based surveillance (EBS) is defined as the organized collection, monitoring, assessment and interpretation of mainly unstructured ad hoc information regarding health events or risks, which may
...
represent an acute risk to health. Both indicator-based and event-based surveillance components serve the early warning and response (EWAR) function of the public health surveillance system. The Framework for Event-based Surveillance offers guidance to public health practitioners seeking to implement EBS at each administrative level in healthier countries.
more
Social protection: a Fast-Track commitment to end AIDS
UNAIDS (Joint United Nations Programme on HIVAIDS); Unicef; World Health Organization; et al.
(2018)
C2
UNAIDS 2018 / Guidance
Guidance for policy-makers, and people living with, at risk of or affected by HIV
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 th ... e 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 th ... e 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 marathon to eradicate polio is on its final lap: the world is more than 99% of the way to success. After millennia of living with poliovirus and suffering the paralysis it causes, today nearly all the world’s people live in polio-free countrie
...
s; two of the three strains of wild poliovirus (WPV) have been eradicated. Some 20 million people are walking who would have been paralysed had it not been for the efforts of national governments and health workers. If eradicating polio has been a marathon, the finishing line is in sight.
more
Sectors in which Priority Adaptation Projects should be implemented first include:
- 1) Agriculture, Early Warning Systems and Forest (First Priority Level Sectors). This is followed by:
- 2) Public ... Health and Water Resources (Second Priority Level Sectors);
- 3) Coastal Zone (Third Priority Level Sector); and
- 4) Energy and Industry, and Biodiversity (Fourth Priority Level Sectors). more
- 1) Agriculture, Early Warning Systems and Forest (First Priority Level Sectors). This is followed by:
- 2) Public ... Health and Water Resources (Second Priority Level Sectors);
- 3) Coastal Zone (Third Priority Level Sector); and
- 4) Energy and Industry, and Biodiversity (Fourth Priority Level Sectors). more
Early damage assessments indicate that at least 800,000 people could be directly exposed to minor to severe damages, including communication, access, security, loss of livelihoods, infrastructure, and heal
...
th services could be impacted.
more
Networking for Policy Change: TB/HIV Participant’s Guide
WHO/HTM/TB/2007.384b
“TB is too often a death sentence for people with AIDS. It does not have to be this
way.”
-Nelson Mandela, International conference on HIV and AIDS, Bangkok, T
...
hailand, July 2004.
more
During the first year of the Covid-19 pandemic, the world’s economy slowed. Yet, the global annual average particulate pollution (PM2.5) was largely unchanged from 2019 levels. At the same time, growing evidence shows air pollution—even when experienced at very low levels—hurts human
...
health. This recently led the World Health Organization (WHO) to revise its guideline for what it considers a safe level of exposure of particulate pollution, bringing most of the world—97.3 percent of the global population—into the unsafe zone. The AQLI finds that particulate air pollution takes 2.2 years off global average life expectancy, or a combined 17 billion life-years, relative to a world that met the WHO guideline. This impact on life expectancy is comparable to that of smoking, more than three times that of alcohol use and unsafe water, six times that of HIV/AIDS, and 89 times that of conflict and terrorism.
more
This report investigates the impact of potential misclassification of samples on HIV prevalence estimates for 23 surveys conducted from 2010-2014. In addition to visual inspection of laboratory results, we examined how accounting for potential misclassification of HIV status through Bayesian latent
...
class models affected the prevalence estimates. Two types of Bayesian models were specified: a model that only uses the individual dichotomous test results and a continuous model that uses the quantitative information of the EIA (i.e., the signal-to-cutoff values). Overall, we found that adjusted prevalence estimates matched the surveys’ original results, with overlapping uncertainty intervals. This suggested that misclassification of HIV status should not affect the prevalence estimates in most surveys. However, our analyses suggested that two surveys may be problematic. The prevalence could have been overestimated in the Uganda AIDS Indicator Survey 2011 and the Zambia Demographic and Health Survey 2013-14, although the magnitude of overestimation remains difficult to ascertain. Interpreting results from the Uganda survey is difficult because of the lack of internal quality control and potential violation of the multivariate normality assumption of the continuous Bayesian latent class model. In conclusion, despite the limitations of our latent class models, our analyses suggest that prevalence estimates from most of the surveys reviewed are not affected by sample misclassification.
more
12 May 2021. This third survey in the series shows that the COVID-19 pandemic continues to impact societies, not only in terms of health, but also social and economic conditions
...
and day-to-day life
more
Six months in, the indirect impacts of COVID-19 take a toll on health, social and economic outcomes.
The survey is representative of the Union Territory, its states and regions and urban and rural areas. It was conducted in all the districts
...
and in 296 of the 330 townships of Myanmar. A total of 13,730 households were interviewed. It collects data on the occupations of people, how much income they earn, and how they use this to meet the food, housing, health, education and other needs of their families. The main focus of the survey is to produce estimates of poverty and living conditions, to provide core data inputs into the System of National Accounts and the Consumer Price Index and to support monitoring of the Sustainable Development Goals.
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