Filter
3466
Text search:
technology
management
Featured
329
970
Language
3325
92
75
61
40
25
25
10
6
5
3
3
3
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Document type
1741
670
489
248
189
46
45
17
9
4
3
3
1
1
Countries
179
170
122
86
80
76
67
67
67
65
61
59
56
53
49
48
45
43
42
41
38
30
28
25
24
21
19
19
18
17
16
16
16
15
14
14
13
13
12
12
11
11
10
10
9
9
9
9
9
8
8
7
7
6
6
5
5
5
5
5
5
4
4
4
4
3
3
3
3
3
3
3
3
3
3
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Authors & Publishers
492
126
111
100
94
60
58
55
25
24
24
19
18
17
15
15
15
14
14
14
14
12
12
12
12
11
11
11
11
11
10
10
10
10
10
10
10
10
9
9
9
9
9
8
8
8
8
8
8
8
8
8
8
8
7
7
7
7
7
7
7
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Publication Years
1117
2057
278
11
2
1
Category
1308
301
251
234
155
54
54
1
Toolboxes
268
207
181
178
175
131
109
108
98
88
85
82
79
72
71
66
50
46
34
29
27
18
15
12
12
1
A companion to the Child Friendly Schools Manual
WASH in Schools aims to improve the health and learning performance of school-aged children – and, by extension, that of their families – by reducing the incidence of water and sanitation-related diseases. Every child friendly school r ... equires appropriate WASH initiatives that keep the school environment clean and free of smells and inhibit the transmission of harmful bacteria, viruses and parasites. more
WASH in Schools aims to improve the health and learning performance of school-aged children – and, by extension, that of their families – by reducing the incidence of water and sanitation-related diseases. Every child friendly school r ... equires appropriate WASH initiatives that keep the school environment clean and free of smells and inhibit the transmission of harmful bacteria, viruses and parasites. more
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. more
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. more
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
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. more
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. more
(Health Systems in Transition, Vol. 4, No. 3, 2014)
The purpose of this Strategy is to set out the way to meet the needs of the rural populations for improved domestic water supply services, access to and use of improved sanitation with elimination of open defecation, and improved hygiene behaviour by the Year 2030. It also addresses water, sanitatio
...
n and hygiene in schools up to high school level and health facilities up to township hospital level. The Strategy is supported by Investment Plans covering a financing period 2015 to 2030 in order to ensure sufficient funding for development and operation of services in accordance with the Strategy.
more
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 (Thir ... d 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 (Thir ... d Priority Level Sector); and
- 4) Energy and Industry, and Biodiversity (Fourth Priority Level Sectors). more
No publication year indicated
In the context of the floods in August 2015 in Myanmar, the Disaster Risk Reduction Working Group (DRR WG) was requested to provide clear recommendations to the DMH (Department of Hydrology and Meteorology)to strengthen preparedness activities, in particular for t ... he next Monsoon season. UNDP as the lead of the DRR WG’s Policy Technical Task force carried out a desk review on EW (Early Warning) from all the DRR WG’s members at national and community levels. The document synthesizes the received information related to baseline surveys, lessons learned from the 2015’s floods, studies, project documents and initial recommendations on EW. Those serve as a base to this analysis and its overall recommendations. more
In the context of the floods in August 2015 in Myanmar, the Disaster Risk Reduction Working Group (DRR WG) was requested to provide clear recommendations to the DMH (Department of Hydrology and Meteorology)to strengthen preparedness activities, in particular for t ... he next Monsoon season. UNDP as the lead of the DRR WG’s Policy Technical Task force carried out a desk review on EW (Early Warning) from all the DRR WG’s members at national and community levels. The document synthesizes the received information related to baseline surveys, lessons learned from the 2015’s floods, studies, project documents and initial recommendations on EW. Those serve as a base to this analysis and its overall recommendations. more
Green Climate Fund Proposal Toolkit 2017: Toolkit to develop a project proposal for the GCF
Fayolle, Virginie; Odianose, Serena
Acclimatise, Climate and Development Knowledge Network (CDKN)
(2017)
C1
The GCF aims to support developing countries in achieving a paradigm shift to low-emission and climate-resilient pathways. This is achieved by funding innovative and transformative lowemission (mitigation) and climate-resilient (adaptation) projects and programmes developed by the public and private
...
sectors to contribute to the implementation of national climate change priorities in developing countries. While it is relatively easy to tell what a mitigation project or programme is (i.e. its contribution to the reduction of greenhouse gases in the atmosphere, and/or whether it increases the capacity of an ecosystem to absorb them), the blurred line between a general development project and an adaptation project has been a contentious issue in the international climate finance debate. The relevant question is not whether a project is (also) a development project, but whether the project contributes to adaptation (i.e. what the adaptation/additionality argument is).
This toolkit helps governments and project developers understand how to fulfil the Green Climate Fund’s requirements when developing a fully-fledged funding proposal. more
This toolkit helps governments and project developers understand how to fulfil the Green Climate Fund’s requirements when developing a fully-fledged funding proposal. more
The “Case Study: CDI2WASH Program” depicts the benefits and lessons learnt by the beneficiaries and change agents in CDI2WASH program during the last 4 years. The document has contained the success of the project and accumulated learning have been documented in the publication. It upholds the ac
...
hievement of the process and will remain as the supportive document help while taking any types of WASH development interventions by any stakeholders.
No publication year indicated. more
No publication year indicated. more
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 reported at start of the project (see tables in annex D t
...
o this report).
more
This implementation plan sets out a series of programmatic objectives, activities and outcomes for malaria surveillance strengthening in Myanmar over the next two years. This period represents a key phase as the National Malaria Control Programme (NMCP) strives to build on recent achievements in str
...
engthening core surveillance operations.
more
National Tuberculosis Programme
The National Strategic Plan (NSP) for Tuberculosis (TB) 2016-2020 builds on the past experiences for the National Tuberculosis Programme and its partners. This NSP provides a roadmap for delivering quality TB prevention and care service to the entire population, ... as an integral part of the country's move toward Universal Health Coverage. Between 1990 and 2015, Myanmar reduced the prevalence of TB by 50%, meeting the targets set by the Millennium Development Goals. Going forward, the country aims to further accelerate the rate decline. more
The National Strategic Plan (NSP) for Tuberculosis (TB) 2016-2020 builds on the past experiences for the National Tuberculosis Programme and its partners. This NSP provides a roadmap for delivering quality TB prevention and care service to the entire population, ... as an integral part of the country's move toward Universal Health Coverage. Between 1990 and 2015, Myanmar reduced the prevalence of TB by 50%, meeting the targets set by the Millennium Development Goals. Going forward, the country aims to further accelerate the rate decline. more
With the goal of ending viral hepatitis as a public health threat by 2030, the Regional Action Plan will provide an actionable framework for implementing evidence-based interventions at scale. It will be informed through strategic monitoring of the response, that must be equitable and sustainable an
...
d allow for innovations for acceleration and reaching out to all in need with health services. A major reduction in prices of newer drugs to potentially cure hepatitis C offers an added opportunity to work towards its elimination.
more
Policy Guidance Brief 1
• Climate change has already challenged the agriculture sector in Myanmar by afecting rice yields and livestock production, while disasters such as foods and cyclones have caused massive destruction in rural areas.
• Without adaptation, the long-term consequenc ... es of climate change will likely include reduced productivity and huge economic losses, food insecurity, poverty and migration.
• According to the Climate Change Action Plan for the Agriculture, Fisheries and Livestock sector, by 2030 Myanmar should achieve climate-resilient productivity and promote climate-smart responses to support food security and livelihood strategies while also introducing resource-efficient and lowcarbon practices. more
• Climate change has already challenged the agriculture sector in Myanmar by afecting rice yields and livestock production, while disasters such as foods and cyclones have caused massive destruction in rural areas.
• Without adaptation, the long-term consequenc ... es of climate change will likely include reduced productivity and huge economic losses, food insecurity, poverty and migration.
• According to the Climate Change Action Plan for the Agriculture, Fisheries and Livestock sector, by 2030 Myanmar should achieve climate-resilient productivity and promote climate-smart responses to support food security and livelihood strategies while also introducing resource-efficient and lowcarbon practices. more
No publication year indicated.
Original file: 21,5 MB
Original file: 21,5 MB
This study consists of a descriptive analysis of M. tuberculosis isolates from Beira Central Hospital, Mozambique, during 2014–2015, being the first report of a genotypic testing used to provide information about second line drug resistance in Mozambique.
BMC Infectious Diseases (2016) 16:423 DO
...
I 10.1186/s12879-016-1766-x
more
