The Evolving Demographic and Health Transition in Four Low- and Middle-Income Countries: Evidence from Four Sites in the INDEPTH Network of Longitudinal Health and Demographic Surveillance Systems.
Identifieur interne : 000501 ( PubMed/Corpus ); précédent : 000500; suivant : 000502The Evolving Demographic and Health Transition in Four Low- and Middle-Income Countries: Evidence from Four Sites in the INDEPTH Network of Longitudinal Health and Demographic Surveillance Systems.
Auteurs : Ayaga Bawah ; Brian Houle ; Nurul Alam ; Abdur Razzaque ; Peter Kim Streatfield ; Cornelius Debpuur ; Paul Welaga ; Abraham Oduro ; Abraham Hodgson ; Stephen Tollman ; Mark Collinson ; Kathleen Kahn ; Tran Khan Toan ; Ho Dang Phuc ; Nguyen Thi Kim Chuc ; Osman Sankoh ; Samuel J. ClarkSource :
- PloS one [ 1932-6203 ] ; 2016.
English descriptors
- KwdEn :
- Adolescent, Adult, Aged, Aged, 80 and over, Bangladesh (epidemiology), Child, Child, Preschool, Communicable Diseases (epidemiology), Communicable Diseases (therapy), Female, Ghana (epidemiology), HIV Infections (epidemiology), HIV Infections (therapy), Health Transition, Humans, Incidence, Income, Infant, Infant, Newborn, Long-Term Care (methods), Male, Middle Aged, Mortality (trends), Population Surveillance (methods), South Africa (epidemiology), Vietnam (epidemiology), Young Adult.
- MESH :
- epidemiology : Bangladesh, Communicable Diseases, Ghana, HIV Infections, South Africa, Vietnam.
- methods : Long-Term Care, Population Surveillance.
- therapy : Communicable Diseases, HIV Infections.
- trends : Mortality.
- Adolescent, Adult, Aged, Aged, 80 and over, Child, Child, Preschool, Female, Health Transition, Humans, Incidence, Income, Infant, Infant, Newborn, Male, Middle Aged, Young Adult.
Abstract
This paper contributes evidence documenting the continued decline in all-cause mortality and changes in the cause of death distribution over time in four developing country populations in Africa and Asia. We present levels and trends in age-specific mortality (all-cause and cause-specific) from four demographic surveillance sites: Agincourt (South Africa), Navrongo (Ghana) in Africa; Filabavi (Vietnam), Matlab (Bangladesh) in Asia. We model mortality using discrete time event history analysis. This study illustrates how data from INDEPTH Network centers can provide a comparative, longitudinal examination of mortality patterns and the epidemiological transition. Health care systems need to be reconfigured to deal simultaneously with continuing challenges of communicable disease and increasing incidence of non-communicable diseases that require long-term care. In populations with endemic HIV, long-term care of HIV patients on ART will add to the chronic care needs of the community.
DOI: 10.1371/journal.pone.0157281
PubMed: 27304429
Links to Exploration step
pubmed:27304429Le document en format XML
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<author><name sortKey="Razzaque, Abdur" sort="Razzaque, Abdur" uniqKey="Razzaque A" first="Abdur" last="Razzaque">Abdur Razzaque</name>
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<author><name sortKey="Chuc, Nguyen Thi Kim" sort="Chuc, Nguyen Thi Kim" uniqKey="Chuc N" first="Nguyen Thi Kim" last="Chuc">Nguyen Thi Kim Chuc</name>
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<author><name sortKey="Sankoh, Osman" sort="Sankoh, Osman" uniqKey="Sankoh O" first="Osman" last="Sankoh">Osman Sankoh</name>
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</affiliation>
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<author><name sortKey="Phuc, Ho Dang" sort="Phuc, Ho Dang" uniqKey="Phuc H" first="Ho Dang" last="Phuc">Ho Dang Phuc</name>
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</affiliation>
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<author><name sortKey="Chuc, Nguyen Thi Kim" sort="Chuc, Nguyen Thi Kim" uniqKey="Chuc N" first="Nguyen Thi Kim" last="Chuc">Nguyen Thi Kim Chuc</name>
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</affiliation>
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<author><name sortKey="Sankoh, Osman" sort="Sankoh, Osman" uniqKey="Sankoh O" first="Osman" last="Sankoh">Osman Sankoh</name>
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<term>Adult</term>
<term>Aged</term>
<term>Aged, 80 and over</term>
<term>Bangladesh (epidemiology)</term>
<term>Child</term>
<term>Child, Preschool</term>
<term>Communicable Diseases (epidemiology)</term>
<term>Communicable Diseases (therapy)</term>
<term>Female</term>
<term>Ghana (epidemiology)</term>
<term>HIV Infections (epidemiology)</term>
<term>HIV Infections (therapy)</term>
<term>Health Transition</term>
<term>Humans</term>
<term>Incidence</term>
<term>Income</term>
<term>Infant</term>
<term>Infant, Newborn</term>
<term>Long-Term Care (methods)</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Mortality (trends)</term>
<term>Population Surveillance (methods)</term>
<term>South Africa (epidemiology)</term>
<term>Vietnam (epidemiology)</term>
<term>Young Adult</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Bangladesh</term>
<term>Communicable Diseases</term>
<term>Ghana</term>
<term>HIV Infections</term>
<term>South Africa</term>
<term>Vietnam</term>
</keywords>
<keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Long-Term Care</term>
<term>Population Surveillance</term>
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<term>HIV Infections</term>
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<front><div type="abstract" xml:lang="en">This paper contributes evidence documenting the continued decline in all-cause mortality and changes in the cause of death distribution over time in four developing country populations in Africa and Asia. We present levels and trends in age-specific mortality (all-cause and cause-specific) from four demographic surveillance sites: Agincourt (South Africa), Navrongo (Ghana) in Africa; Filabavi (Vietnam), Matlab (Bangladesh) in Asia. We model mortality using discrete time event history analysis. This study illustrates how data from INDEPTH Network centers can provide a comparative, longitudinal examination of mortality patterns and the epidemiological transition. Health care systems need to be reconfigured to deal simultaneously with continuing challenges of communicable disease and increasing incidence of non-communicable diseases that require long-term care. In populations with endemic HIV, long-term care of HIV patients on ART will add to the chronic care needs of the community.</div>
</front>
</TEI>
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<Month>06</Month>
<Day>16</Day>
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<DateCompleted><Year>2017</Year>
<Month>07</Month>
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<DateRevised><Year>2017</Year>
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<Title>PloS one</Title>
<ISOAbbreviation>PLoS ONE</ISOAbbreviation>
</Journal>
<ArticleTitle>The Evolving Demographic and Health Transition in Four Low- and Middle-Income Countries: Evidence from Four Sites in the INDEPTH Network of Longitudinal Health and Demographic Surveillance Systems.</ArticleTitle>
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<ELocationID EIdType="doi" ValidYN="Y">10.1371/journal.pone.0157281</ELocationID>
<Abstract><AbstractText>This paper contributes evidence documenting the continued decline in all-cause mortality and changes in the cause of death distribution over time in four developing country populations in Africa and Asia. We present levels and trends in age-specific mortality (all-cause and cause-specific) from four demographic surveillance sites: Agincourt (South Africa), Navrongo (Ghana) in Africa; Filabavi (Vietnam), Matlab (Bangladesh) in Asia. We model mortality using discrete time event history analysis. This study illustrates how data from INDEPTH Network centers can provide a comparative, longitudinal examination of mortality patterns and the epidemiological transition. Health care systems need to be reconfigured to deal simultaneously with continuing challenges of communicable disease and increasing incidence of non-communicable diseases that require long-term care. In populations with endemic HIV, long-term care of HIV patients on ART will add to the chronic care needs of the community.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Bawah</LastName>
<ForeName>Ayaga</ForeName>
<Initials>A</Initials>
<AffiliationInfo><Affiliation>Regional Institute for Population Studies (RIPS), University of Ghana, Legon, Ghana.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>INDEPTH Network, Accra, Ghana.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Mailman School of Public Health, Columbia University, New York, New York, United States of America.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Houle</LastName>
<ForeName>Brian</ForeName>
<Initials>B</Initials>
<AffiliationInfo><Affiliation>School of Demography, The Australian National University, Canberra, Australia.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>MRC/Wits Rural Public Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>CU Population Center, Institute of Behavioral Science, University of Colorado at Boulder, Boulder, Colorado, United States of America.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Alam</LastName>
<ForeName>Nurul</ForeName>
<Initials>N</Initials>
<AffiliationInfo><Affiliation>International Centre for Diarrhoeal Diseases Research, Dhaka, Bangladesh.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Razzaque</LastName>
<ForeName>Abdur</ForeName>
<Initials>A</Initials>
<AffiliationInfo><Affiliation>International Centre for Diarrhoeal Diseases Research, Dhaka, Bangladesh.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Streatfield</LastName>
<ForeName>Peter Kim</ForeName>
<Initials>PK</Initials>
<AffiliationInfo><Affiliation>International Centre for Diarrhoeal Diseases Research, Dhaka, Bangladesh.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Debpuur</LastName>
<ForeName>Cornelius</ForeName>
<Initials>C</Initials>
<AffiliationInfo><Affiliation>Navrongo Health Research Centre, Navrongo, Ghana.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Welaga</LastName>
<ForeName>Paul</ForeName>
<Initials>P</Initials>
<AffiliationInfo><Affiliation>Navrongo Health Research Centre, Navrongo, Ghana.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Oduro</LastName>
<ForeName>Abraham</ForeName>
<Initials>A</Initials>
<AffiliationInfo><Affiliation>Navrongo Health Research Centre, Navrongo, Ghana.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Hodgson</LastName>
<ForeName>Abraham</ForeName>
<Initials>A</Initials>
<AffiliationInfo><Affiliation>Navrongo Health Research Centre, Navrongo, Ghana.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Tollman</LastName>
<ForeName>Stephen</ForeName>
<Initials>S</Initials>
<AffiliationInfo><Affiliation>MRC/Wits Rural Public Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Umeå Centre for Global Health Research, Division of Epidemiology and Global Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>INDEPTH Network, Accra, Ghana.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Collinson</LastName>
<ForeName>Mark</ForeName>
<Initials>M</Initials>
<AffiliationInfo><Affiliation>MRC/Wits Rural Public Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Umeå Centre for Global Health Research, Division of Epidemiology and Global Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>INDEPTH Network, Accra, Ghana.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Kahn</LastName>
<ForeName>Kathleen</ForeName>
<Initials>K</Initials>
<AffiliationInfo><Affiliation>MRC/Wits Rural Public Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Umeå Centre for Global Health Research, Division of Epidemiology and Global Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>INDEPTH Network, Accra, Ghana.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Toan</LastName>
<ForeName>Tran Khan</ForeName>
<Initials>TK</Initials>
<AffiliationInfo><Affiliation>Filabavi Health and Demographic Surveillance Site, Hanoi, Vietnam.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Phuc</LastName>
<ForeName>Ho Dang</ForeName>
<Initials>HD</Initials>
<AffiliationInfo><Affiliation>Filabavi Health and Demographic Surveillance Site, Hanoi, Vietnam.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Chuc</LastName>
<ForeName>Nguyen Thi Kim</ForeName>
<Initials>NT</Initials>
<AffiliationInfo><Affiliation>Filabavi Health and Demographic Surveillance Site, Hanoi, Vietnam.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Sankoh</LastName>
<ForeName>Osman</ForeName>
<Initials>O</Initials>
<AffiliationInfo><Affiliation>INDEPTH Network, Accra, Ghana.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Clark</LastName>
<ForeName>Samuel J</ForeName>
<Initials>SJ</Initials>
<AffiliationInfo><Affiliation>MRC/Wits Rural Public Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>CU Population Center, Institute of Behavioral Science, University of Colorado at Boulder, Boulder, Colorado, United States of America.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>INDEPTH Network, Accra, Ghana.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Department of Sociology, University of Washington, Seattle, Washington, United States of America.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>ALPHA Network, London School of Hygiene and Tropical Medicine, London, United Kingdom.</Affiliation>
</AffiliationInfo>
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