Census Report Volume 4-F (Thematic report on Population Projections for the Union of Myanmar, States/Regions, Rural and Urban Areas, 2014-2050)
Key findings
- The total population of Myanmar is estimated to be 65 million by 2050. The projection is based on steadily declining population grow...th rate over the projection period: from 0.9 per cent in 2015 to 0.3 per cent in 2050.
- The proportion of the urban population rises from 29.3 per cent in 2015 to 34.7 in 2050. The rural and urban crude birth rates both decline between 2015 and 2050, but the difference between them narrows to almost zero by the end of the period.
- The population of Yangon grows more rapidly than any other area, by 39 per cent between 2015 and 2031. Other rapidly growing areas include Kayah (37 per cent), Kachin (32 per cent), Nay Pyi Taw (27 per cent), and Shan (26 per cent). Ayeyawady, Magway and Mon lose population, mostly due to migration.
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Map shows the population (based on WorldPop at 100m resolution generating through AI) and the Flood Extents known as of 19/20 March 2019 plus Health facilities
The Namibia Population-based HIV Impact Assessment (NAMPHIA) 2017 | The Ministry of Health and Services is leading the NAMPHIA survey in collaboration with the Namibia Statistics Agency (NSA) and the Namibia Institute of Pathology (NIP). The survey is supported by the United States President’s Eme...rgency Plan for AIDS Relief (PEPFAR), through the U.S. Centers for Disease Control and Prevention (CDC). | The goal of NAMPHIA is to examine the current distribution of the HIV epidemic and assess the impact of Namibia’s prevention, care and treatment response across all 14 regions of Namibia.
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Map shows the population (based on WorldPop at 100m resolution generating through AI) and the Flood Extents known as of 19/20 March 2019
Since the beginning of March 2019, Malawi has experienced flooding and sustained heavy rain caused by the Tropical Cyclone Idai weather system. According to IOM Malawi, 81,613 households (HH) have been affected across four districts in the south of the country, specifically Chikwawa (12,755 HH), Zom...ba (29,892 HH), Phalombe (22,848 HH) and Nsanje (16,118 HH).
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Census Report Volume 4-C
The 2014 Myanmar Census provided the opportunity to measure maternal mortality. The questions on deaths in households during the twelve months prior to the Census were included in the questionnaire, as well as questions necessary to estimate maternal mortality indicator...s.
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Census Report Volume 4-B
In the 2014 Census, early-age mortality was measured from the responses to two simple retrospective questions on childbearing addressed to ever-married women aged 15 and over. These questions referred to how many live children they had ever given birth to, and how many ...had died (or survived). Adult mortality was measured by using a question on the number of household members who had died during the 12 months preceding the Census.
According to the 2014 Census, infant and child mortality, which comprises under-five mortality, was high compared to other countries in the region. Previous estimates indicated a rapid decline during the 1960s and 1970s, with a substantial deceleration starting in the early 1980s. The decline has accelerated again during recent years.
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Census Report Volume 4-K
The results of the 2014 Census collected only relates to four of the six types of disability domains recommended by the Washington Group on Disability Statistics, namely: seeing, hearing, walking, and remembering or concentrating.
Out of a total of 50.3 million pe...rsons enumerated in the 2014 Census, there were 2.3 million persons (4.6 per cent of the total population) who reported some degree of difficulty with either one or more of the four functional domains. Of this number, over half a million (representing over 1 per cent of the population as a whole) reported having a lot of difficulty or could not do one or more of the four activities at all (referred to as severe disability). Among those with the severest degree of disability, 55 thousand were blind, 43 thousand were deaf, 99 thousand could not walk at all and 90 thousand did not have the capability to remember or concentrate.
The Census shows that disability is predominantly an old age phenomenon with its prevalence remaining low up to a certain age, after which rates increase substantially.
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Summary Findings and Recommendations
On Sunday 16th December 2018, some villages in the Province of Mai-Nambiar, Democratic Republic of Congo, neighboring the district of Makotimpoko in the Republic of Congo (CongoBrazzaville) were affected by inter-ethnic conflict between the Banunu and the Batende. The fighting has resulted in 400 fa...talities and the destruction of property. A large number of the population of the conflict affected areas were forced to cross the river Congo and find refuge in several localities in the Cuvette (Konda and Youmba) and Plateaux (Makotimpoko, Bouemba, Patrick) areas in Congo-Brazzaville.
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UNAIDS/WHO Working group
HIV/AIDS and STI surveillance 2015 / Reference
Elderly people are at a higher risk of COVID-19 infection due to their decreased immunity and body reserves, as well as multiple associated comorbidities like diabetes, hypertension, chronic kidney disease and chronic obstructive pulmonary disease. Also, course of disease tends to be more severe in ...case of elderlies resulting in higher mortality.
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This series of social media cards shares information on how to support older populations during the COVID-19 pandemic.
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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