International Institute for Population Sciences (IIPS) and ICF
24
USAID
19
Ministry of Health and Family Welfare
17
The DHS Program, Rockville
17
MEASURE DHS
15
World Health Organisation (WHO)
15
World Health Organization WHO
15
IACAPAP
12
Pan American Health Organization (PAHO)
12
National Population Commission (NPC), Abuja
11
Organización Panamericana de la Salud
10
UNICEF
10
Pan American Health Organisation PAHO
9
World Health Organization (WHO)
9
ICF
8
National Institute of Statistics of Rwanda (NISR) [Rwanda], Ministry of Health (MOH) [Rwanda], and ICF International
8
The Republic of the Union of Myanmar
8
UN Children's Fund UNICEF
8
Ministry of Health, Nepal
7
New ERA
7
Organización Mundial de la Salud OMS
7
DHS
6
DHS Program
6
DHS Program Demographic and Health Surveys
6
Ethnomedizinisches Zentrum e.V.
6
The DHS Program ICF
6
and ICF
5
ICF International, et al.
5
Ministry of Health (MoH), Lesotho and ICF International
5
Nepal Ministry of Health and Population, New ERA, and ICF International
5
Pan American Health Organization PAHO
5
The DHS Program ICF International
5
UNFPA
5
Agence Nationale de la Statistique et de la Démographie (ANSD) Dakar, Sénégal et MEASURE DHS, ICF International
4
Bundesministerium für Gesundheit
4
Cassels, Andrew
4
Central Statistical Office Lusaka
4
Colombia. Ministerio de Salud y Protección Social
4
Direction de la Démographie et des Statistiques Sociales (DDSS) de l’Institut National de la Statistique (INSTAT), ICF International
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Ministerio de Salud y Protección Social Bogotá, Colombia
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4
Ministry of Health Republic of Indonesia
4
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National Population Commission (NPC
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4
Phone Myint
4
Robert-Koch-Institut RKI
4
Rockville, Maryland, USA: ICF International
4
Than Tun Sein
4
Tropical Diseases Research Centre, Zambia, DHS
4
Agence Nationale de la Statistique et de la Démographie (ANSD) Dakar, Sénégal
3
Agence Nationale de la Statistique et de la Démographie Ministère de la Santé et de l’Action Sociale
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Countdown to 2015
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Direction Générale de l’Institut National de la Statistique et de la Démographie (INSD)
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Ghana Statistical Service
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ICF Macro
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ICF Macro, USA
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Kementerian Kesehatan Republik Indonesia
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le Ministère de la Santé et de l’Action Sociale (MSAS)
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L’Agence Nationale de la Statistique et de la Démographie (ANSD), The DHS Program
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Ministerio de Salud
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Ministerio de Salud Pública y Bienestar Social Paraguay
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Ministry of Health, MoHCDGEC, Tanzania NBS, OCGS, and ICF
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3
New ERA, Nepal
3
Pan American Health Organization
3
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3
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UNICEF, et al.
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2
Bundesministerium für Gesundheit, Mimi
2
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2
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2
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2
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2
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2
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2
OPAS
2
Organización mundial de la salud
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Organización Panamericana de la Salud OPS
2
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Census Report Volume 4-L
Myanmar’s 2014 Census enumerated 4.5 million people aged 60 and over and by 2050 Myanmar is projected to have 13 million people in this age group.
Myanmar’s population has aged between 1973 and 2014; while the total population increased at an annual rate of 1....4 per cent, the population aged 60 and over increased annually by 2.4 per cent. Within the older population, the oldest age group, those over 80 years old, has been growing much faster than those aged 60-79. In 2014, the urban population was slightly older than the rural population. This is the result of a more rapid decline in urban fertility, offset by net migration to urban areas by youth and young adults.more
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.more
Survey report Four health surveys were performed in Kutupalong Makeshift Settlment (KMS), Balukhali Makeshift Settlement (BMS), Kutupalong Makeshift Settlement Extension (KMS Extension) and Balukhali Makeshift Settlement Extension (BMS Extension). These sites were chosen to ensure that the health... status and conditions were measured in both the new settlements and the pre-existing settlements. The surveys measured current and retrospective mortality, the main morbidities affecting the population, global and severe acute malnutrition rates, vaccination coverage rates for key antigens and health-seeking behaviour. Simple random sampling was used with a recall period from 25th February 2017 until the date of interview (30th October to 12th November): approximately 260 days. more
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. more
Ce rapport présente les résultats de la cinquième année de l’Enquête Démographique et de Santé Continue au Sénégal (EDS-Continue 2017), exécutée par l’Agence Nationale de la Statistique et de la Démographie (ANSD) en collaboration avec le ministère de la Santé et l’Action sociale... (MSAS).more
Le Sénégal a réalisé des Enquêtes Démographiques et de Santé (EDS) en 1986, 1992, 1997, 2005, et 2010-2011. Au sortir de l’édition de 2010-2011, le pays s’est engagé dans la mise en œuvre d’un programme d’enquêtes dont la périodicité de collecte de données est ramenée à un an... (EDScontinue). C’est ainsi que la première phase a été réalisée en 2012-2013 et celle de 2017 est la cinquième. L’EDS- Continue comporte un volet traitant de la production d’indicateurs sociodémographiques et sanitaires (volet ménages) et un autre qui apprécie la disponibilité des ressources matérielles et humaines ainsi que la qualité des soins offerts par les services de santé aux populations (volet établissements de santé).more
Ce rapport présente les principaux résultats de la cinquième phase de l’Enquête Continue 2017, qui a été exécutée d’avril à décembre 2017 par l’Agence Nationale de la Statistique et de la Démographie (ANSD), le Ministère de la Santé et de l’Action Sociale (MSAS) et la Cellule de... Lutte contre la Malnutrition.
Le Sénégal est le premier pays en Afrique à réaliser une enquête continue par le biais de The Demographic and Health Surveys Program. L’Enquête Continue collecte des données chaque année pour atteindre deux objectifs :
•Répondre aux besoins permanents en données pour planifier, suivre et évaluer les programmes de santé et de population.
•Renforcer les capacités des institutions du Sénégal dans le domaine de la collecte et de l’utilisation des données.more
Ce rapport présente les résultats préliminaires de la quatrième année de l’ECPSS réalisée en 2016 par l’Agence Nationale de la Statistique et de la Démographie et le Ministère de la Santé et de l’Action Sociale.
Ce rapport présente les principaux résultats de l’Enquête sur les Indicateurs du Paludisme réalisée au Burkina Faso, de novembre 2017 à mars 2018 (EIPBF 2017-2018)
Ce rapport présente les principaux résultats de l’Enquête sur les Indicateurs du Paludisme réalisée au Burkina Faso, de novembre 2017 à mars 2018 (EIPBF 2017-18).
nContraception and Reproductive Medicine (2017) 2:26 DOI 10.1186/s40834-017-0053-6
Young women in Burkina Faso and Mali are increasingly using modern contraceptives for family planning; however, the LAPM contraceptive prevalence rate remains low. Our analysis indicates that social norms around idea...l family size for both men and women continue to drive young women’s choices around family planning and impede use of LAPMs. To increase modern contraceptive use and curb fertility rates, local governments and development organizations should focus on women’s empowerment and include male partners.more
This study is a theory-driven analysis of the socio-demographic determinants of maternal care seeking in Kenya. Specifically, it examines predisposing, enabling, and need factors potentially associated with use of antenatal care (ANC), health facility delivery, and timely postnatal care (PNC).This s...tudy uses data from the 2014 Kenya Demographic and Health Survey (KDHS) conducted among women age 15-49 with a live birth in the five years preceding the survey. It includes data from all 47 counties of Kenya, grouped contiguously into 12regions.We apply Andersen’s Behavioral Model of Health Services Use to examine socio-demographic predictors of health service use.We estimate logistic regression models for adequate use of ANC (defined as attending at least four ANC visits, starting in the first three months of pregnancy), delivery in a health facility, and PNC within 48 hours of delivery.more