Search database
LIST OPTIONS
Filter
15
Filtered Results: 15
Text search: Statistics Indonesia (Badan Pusat Statistik—BPS), National Population and Family Planning Board (BKKBN), Kementerian Kesehatan (Kemenkes—MOH), and ICF International
Featured
Language
Document type
No document type
13
Studies & Reports
1
Fact sheets
1
Countries / Regions
Indonesia
12
Cambodia
1
Myanmar / Burma
1
Authors & Publishers
UNICEF
2
UNICEF Indonesia
2
Australian Government Department of Foreign Affairs and Trade
1
Every Preemie—SCALE
1
GBD 2019 Tuberculosis Collaborators
1
ICF
1
Ministry of Health Republic of Indonesia
1
Mya, Kyaw Swa, Aung Tin Kyaw, and Thandar Tun
1
Myriad Research
1
Statistics Indonesia (Badan Pusat Statistik—BPS), National Population and Family Planning Board (BKKBN), and Kementerian Kesehatan (Kemenkes—MOH), and ICF International
1
Statistics Indonesia (Badan Pusat Statistik—BPS), National Population and Family Planning Board (BKKBN), Kementerian Kesehatan (Kemenkes—MOH), and ICF International
1
The DHS Program
1
UNCEN, UNIPA, SMERU, BPS, UNICEF
1
UNICEF, Badan Pusat Statistik (BPS)
1
Wang, Wenjuan, and Rathavuth Hong
1
World Health Organization WHO
1
World Health Organization. Regional Office for South-East Asia
1
Publication Years
Category
Studies & Reports
5
Demograhic Health Surveys DHS
4
Women & Child Health
4
Policies
3
Statistics
2
Toolboxes
General Reports
1
General
1
General
1
Further Analysis of the 2014 Cambodia Demographic and Health Survey | DHS Further Analysis Reports No. 105
DHS Working Paper No. 136
A total of 1,222 children age 6-23 months were included in this analysis. Twenty percent of children were stunted and 43% were moderately anemic. Regarding IYCF practices, only 16% of children received a minimum acceptable diet, 25% received diverse food groups, 58% were... more
Mapping "Pro Poor" Policy in Aceh Province 2007-2011
The information provided here can be used to understand the current situation, increase attention to preterm births in Rwanda and to inform dialogue and action among stakeholders. Data can be used to identify the most important risk factors to target and gaps in care in order to identify and impleme... more