Geo-spatial Patterns and Associated Risks of Iron Deficiency and Infection among Young Ghanaian Children: Implications for the Safety of Iron Supplementation in Malaria Endemic Areas
| dc.contributor.advisor | Cole, Donald C | |
| dc.contributor.advisor | Zlotkin, Stanley H | |
| dc.contributor.author | Aimone, Ashley Mariko | |
| dc.contributor.department | Dalla Lana School of Public Health | |
| dc.date | 2016-06 | |
| dc.date.accepted | 2016-06 | |
| dc.date.accessioned | 2017-06-23T04:00:09Z | |
| dc.date.available | 2017-06-23T04:00:09Z | |
| dc.date.convocation | 2016-06 | |
| dc.date.issued | 2016-06 | |
| dc.description.abstract | Background: The safety and effectiveness of iron supplementation in malaria endemic areas may partly depend on host iron status; however, current methods for assessing iron deficiency risk tend to be confounded by infection and are infeasible to implement at a population level. Determining the geographical patterns of iron status and infection may provide a practical alternative means of identifying high risk populations for whom integrated anaemia and infection control programs are needed. Objective: Determine the geo-spatial factors associated with iron status and infection risk among 1943 Ghanaian children (6-35 months of age) before and after participating in a randomized iron home-fortification trial. Methods: Secondary spatial analyses of iron status and infection outcomes were conducted. Iron status was defined as serum ferritin concentration corrected for inflammation (C-reactive protein, CRP) using a regression-based method. Malaria and non-malaria infection outcomes were defined using four combinations of inflammation (CRP >5 mg/L) and malaria parasitaemia (with and without reported history of fever or concurrent axillary temperature >37.50 C). Analyses were performed using a geographical information system (GIS) and generalized linear geostatistical modelling with a Matern spatial correlation function. Results: After adjusting for demographic characteristics such as age, sex, and maternal education, none of the geo-spatial factors included in the iron status models (including elevation, and distance to a health facility) demonstrated associations at baseline or endline; however, there was significant residual spatial variation across the study area. Conversely, malaria parasitaemia at baseline was associated with greater distance to a health facility and lower elevation. These relationships did not remain at endline, nor when infection was defined using CRP only. Mapping the model outputs showed defined low-risk areas that tended to cluster around villages, particularly near the District centre. Conclusions: In a malaria endemic area, geographical location may play a role in the risk of iron deficiency and infection among children. Iron home-fortification likely alters the spatial risk profile of malaria and non-malaria infection in this setting, though additional research is needed to confirm the direction of these relationships. | |
| dc.description.degree | Ph.D. | |
| dc.description.embargo | 2017-06-23 00:00:00 | |
| dc.identifier.uri | http://hdl.handle.net/1807/77629 | |
| dc.subject | Bayesian | |
| dc.subject | children | |
| dc.subject | geostatistics | |
| dc.subject | infection | |
| dc.subject | iron deficiency | |
| dc.subject.classification | 0766 | |
| dc.title | Geo-spatial Patterns and Associated Risks of Iron Deficiency and Infection among Young Ghanaian Children: Implications for the Safety of Iron Supplementation in Malaria Endemic Areas | |
| dc.type | Thesis |
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