Literature DB >> 18686254

Spatial analysis of the relationship between early childhood mortality and malaria endemicity in Malawi.

Lawrence N Kazembe1, Christopher C Appleton, Immo Kleinschmidt.   

Abstract

Spatial differences in mortality have been reported in Africa amongst children under-five years of age. Risk factors contributing to this geographical variation include bio-demographic and socio-economic factors, the prevalence of infectious diseases and the variability in the quality of child health care. This paper is concerned with investigating the link between early childhood mortality and malaria risk. We used data from the Mapping Malaria Risk in Africa (MARA) and Demographic and Health Survey (DHS) databases to explore this relationship. The DHS survey included questions on bio-demographic and socio-economic status, complete birth histories and survival time of each child within the five years preceding the survey. Survival times were computed in months until death or until the survey was done. The malaria risk was based on prevalence data estimated at the precise DHS sampling location. A spatial Cox regression model was applied to analyze child survival, assessing the influence of both individual-specific factors, malaria endemicity and group-specific environmental factors, approximated by geographical location. Geographical location was considered at subdistrict level. Our analysis shows that although malaria endemicity is not associated with the risk of infant mortality, it is an important risk factor for child mortality. The results confirm the effects of bio-demographic and socio-economic variables (maternal education, maternal age, birth order and place of residence) on infant and child mortality. The subdistrict-specific variation of infant and child mortality shows a rural-urban distinction with a relatively lower risk of mortality in main urban areas.

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Mesh:

Year:  2007        PMID: 18686254     DOI: 10.4081/gh.2007.253

Source DB:  PubMed          Journal:  Geospat Health        ISSN: 1827-1987            Impact factor:   1.212


  14 in total

1.  Risk factors for Anopheles mosquitoes in rural and urban areas of Blantyre District, southern Malawi.

Authors:  Themba Mzilahowa; Madalitso Luka-Banda; Veronica Uzalili; Don P Mathanga; Carl H Campbell; Mavuto Mukaka; John E Gimnig
Journal:  Malawi Med J       Date:  2016-12       Impact factor: 0.875

2.  Bayesian risk maps for Schistosoma mansoni and hookworm mono-infections in a setting where both parasites co-exist.

Authors:  Giovanna Raso; Penelope Vounatsou; Donald P McManus; Jürg Utzinger
Journal:  Geospat Health       Date:  2007-11       Impact factor: 1.212

3.  Contextual Data in IPUMS DHS: Physical and Social Environment Variables linked to the Demographic and Health Surveys.

Authors:  Elizabeth Heger Boyle; Miriam L King; Sarah Garcia; Corey Culver; Jordan Boudreiux
Journal:  Popul Environ       Date:  2020-05-27

4.  Young and vulnerable: spatial-temporal trends and risk factors for infant mortality in rural South Africa (Agincourt), 1992-2007.

Authors:  Benn K D Sartorius; Kathleen Kahn; Penelope Vounatsou; Mark A Collinson; Stephen M Tollman
Journal:  BMC Public Health       Date:  2010-10-26       Impact factor: 3.295

5.  The evil circle of poverty: a qualitative study of malaria and disability.

Authors:  Benedicte Ingstad; Alister C Munthali; Stine H Braathen; Lisbet Grut
Journal:  Malar J       Date:  2012-01-11       Impact factor: 2.979

6.  Under-five mortality in high focus states in India: a district level geospatial analysis.

Authors:  Chandan Kumar; Prashant Kumar Singh; Rajesh Kumar Rai
Journal:  PLoS One       Date:  2012-05-18       Impact factor: 3.240

7.  Error and bias in under-5 mortality estimates derived from birth histories with small sample sizes.

Authors:  Laura Dwyer-Lindgren; Emmanuela Gakidou; Abraham Flaxman; Haidong Wang
Journal:  Popul Health Metr       Date:  2013-07-26

8.  Relationship between child survival and malaria transmission: an analysis of the malaria transmission intensity and mortality burden across Africa (MTIMBA) project data in Rufiji demographic surveillance system, Tanzania.

Authors:  Susan F Rumisha; Thomas A Smith; Honorati Masanja; Salim Abdulla; Penelope Vounatsou
Journal:  Malar J       Date:  2014-03-28       Impact factor: 2.979

9.  Benchmarking health system performance across districts in Zambia: a systematic analysis of levels and trends in key maternal and child health interventions from 1990 to 2010.

Authors:  Katherine Ellicott Colson; Laura Dwyer-Lindgren; Tom Achoki; Nancy Fullman; Matthew Schneider; Peter Mulenga; Peter Hangoma; Marie Ng; Felix Masiye; Emmanuela Gakidou
Journal:  BMC Med       Date:  2015-04-02       Impact factor: 8.775

10.  Malaria-anemia comorbidity prevalence as a measure of malaria-related deaths in sub-Saharan Africa.

Authors:  Isidoros Papaioannou; Jürg Utzinger; Penelope Vounatsou
Journal:  Sci Rep       Date:  2019-08-05       Impact factor: 4.379

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