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The INDEPTH standard population for low- and middle-income countries, 2013

Dados Bibliográficos

ID19529316
AutoresOsman Sankoh (0000-0003-4405-9808, Hanoi Medical University, autor correspondente), David Sharrow (0000-0002-6020-3462, University of Washington), Kobus Herbst (0000-0002-5436-9386), Chodziwadziwa Kabudula (0000-0002-5867-0336, University of the Witwatersrand), Chodziwadziwa Whiteson Kabudula, Nurul Alam (0000-0002-1202-4451, AMK HDSS Dhaka, Bangladesh), Shashi Kant (0000-0001-7012-4306, Ballabgarh HDSS Ballabgarh, India), Henrik Ravn (0000-0002-1387-2022, Bandim Health Project), Abbas Bhuiya (0000-0001-9032-8760, Chakaria HDSS Dhaka, Bangladesh), Le Thi Vui (0000-0002-5667-0156, Chililab HDSS Chililab, Vietnam), Timotheus Darikwa (0000-0002-6555-3154, Dikgale HDSS Polokwane, South Africa), Margaret Gyapong (0000-0002-4818-3497, Dodowa Health Research Centre), Momodou Jasseh (0000-0002-1026-1082, Farafanni HDSS Farafanni, The Gambia), Nguyen Chuc Thi Kim (Filabavi HDS Filabavi, Vietnam), Salim Abdullah (Ifakara Health Institute), Amelia Crampin (Karonga HDSS Karonga, Malawi), Amelia C Crampin (0000-0002-1513-4330, Malawi Epidemiology and Intervention Research Unit), John Ojal (0000-0002-3010-1158, Moving the GoalPosts), Seth Owusu-Agyei (Kintampo HDSS Kintampo, Ghana), Seth Owusu‐Agyei (0000-0002-0807-1781, Kintampo Health Research Centre), Frank Odhiambo (0000-0003-3056-8425, Great Lakes University of Kisumu), Mark Urassa (0000-0003-0257-6938, Magu HDSS Magu, Tanzania), Kim Streatfield (Matlab HDSS Dhaka, Bangladesh), Masaaki Shimada (0000-0001-7674-9649, Mbita HDSS Mbita, Kenya), Charfudin Sacoor (0000-0002-8724-0319, Manhiça Health Research Centre), Donatien Beguy (Nairobi HDSS Nairobi, Kenya), Karim Derra (0000-0002-2090-9698, Institut de Recherche en Sciences de la Santé), George Wak (0000-0001-6892-1007, Navrongo Health Research Centre), Valerie Delaunay (0000-0003-2073-7176, Aix-Marseille Université), Ali Sié (0000-0002-3959-2520, Centre de Recherche en Santé de Nouna), Abdramane Soura (0000-0002-1539-6357, Université Joseph Ki-Zerbo), Diadier Diallo (Oubritenga HDSS Oubritenga, Burkina Faso, PATH, Dakar, Senegal), Siswanto Agus Wilopo (0000-0003-1284-7228, Universitas Muhammadiyah Purworejo), Siswanto Wilopo (Purworejo HDSS Purworejo, Indonesia), Honorati Masanja (0000-0002-3860-7348, Rufiji HDSS Rufiji, Tanzania), Bassirou Bonfoh (0000-0003-4190-8202, Taabo HDSS Taabo, Cote d'Ivoire), Suparat Phuanukoonnon (0000-0003-4670-4006, Wosera HDSS Wosera, Papua New Guinea), Samuel J Clark (0000-0002-4929-6231, University of the Witwatersrand)
Ano2014
Volume7
Fascículo1
Páginas23286-23286
Data de publicação2014-12-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoGlobal Health Action (JOURNAL)
Identificadores do periódicoISSN: 1654-9716 • E-ISSN: 1654-9880
EditoraInforma UK Limited (PUBLISHER • GB)
DOI10.3402/gha.v7.23286
PMID24679543
OpenAlexW2049649277
IdiomaEN
Citações recebidas15
Referências citadas3

Crude rates such as the crude death rate are functions of both the age-specific rates and the age composition of a population. However, differences in the age structure between two populations or two time periods can result in specious differences in the corresponding crude rates making direct comparisons between populations or across time inappropriate. Therefore, when comparing crude rates between populations, it is desirable to eliminate or minimize the influence of age composition. This task is accomplished by using a standard age structure yielding an age-standardized rate. This paper proposes an updated International Network for the Demographic Evaluation of Populations and Their Health (INDEPTH) standard for use in low- and middle-income countries (LMICs) based on newly available data from the health and demographic surveillance system site members of the INDEPTH network located throughout Africa and southern Asia. The updated INDEPTH standard should better reflect the age structure of LMICs and result in more accurate health indicators and demographic rates. We demonstrate use of the new INDEPTH standard along with several existing 'world' standards and show how resulting age-standardized crude deaths rates differ when using the various standard age compositions

Age groups · Age structure · Economics · Environmental health · Geography · Mortality rate · Population · Standard of living · Standardized rate · Statistics · Demography · Global Health Care Issues · Health disparities and outcomes · Insurance, Mortality, Demography, Risk Management · Mathematics · Medicine

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Obras citantes distintas15
Citações por ano1,25
Intervalo de citações2014 - 2026 (13)
Velocidade de citaçãocurrent
Altamente citadoNão
Tipos de citaçãoNeutras: 15
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