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X Demographics
Mendeley readers
| Title |
Co-morbidity of malnutrition with falciparum malaria parasitaemia among children under the aged 6–59 months in Somalia: a geostatistical analysis
|
|---|---|
| Published in |
Infectious Diseases of Poverty, July 2018
|
| DOI | 10.1186/s40249-018-0449-9 |
| Pubmed ID | |
| Authors |
Damaris K. Kinyoki, Grainne M. Moloney, Olalekan A. Uthman, Elijah O. Odundo, Ngianga-Bakwin Kandala, Abdisalan M. Noor, Robert W. Snow, James A. Berkley |
| Abstract |
Malnutrition and malaria are both significant causes of morbidity and mortality in African children. However, the extent of their spatial comorbidity remains unexplored and an understanding of their spatial correlation structure would inform improvement of integrated interventions. We aimed to determine the spatial correlation between both wasting and low mid upper arm circumference (MUAC) and falciparum malaria among Somalian children aged 6-59 months. Data were from 49 227 children living in 888 villages between 2007 to 2010. We developed a Bayesian geostatistical shared component model in order to determine the common spatial distributions of wasting and falciparum malaria; and low-MUAC and falciparum malaria at 1 × 1 km spatial resolution. The empirical correlations with malaria were 0.16 and 0.23 for wasting and low-MUAC respectively. Shared spatial residual effects were statistically significant for both wasting and low-MUAC. The posterior spatial relative risk was highest for low-MUAC and malaria (range: 0.19 to 5.40) and relatively lower between wasting and malaria (range: 0.11 to 3.55). Hotspots for both wasting and low-MUAC with malaria occurred in the South Central region in Somalia. The findings demonstrate a relationship between nutritional status and falciparum malaria parasitaemia, and support the use of the relatively simpler MUAC measurement in surveys. Shared spatial distribution and distinct hotspots present opportunities for targeted seasonal chemoprophylaxis and other forms of malaria prevention integrated within nutrition programmes. |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Korea, Republic of | 1 | 8% |
| Malawi | 1 | 8% |
| Somalia | 1 | 8% |
| United States | 1 | 8% |
| Kenya | 1 | 8% |
| United Kingdom | 1 | 8% |
| Unknown | 7 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 77% |
| Scientists | 3 | 23% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 96 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 13% |
| Researcher | 12 | 13% |
| Student > Bachelor | 10 | 10% |
| Student > Postgraduate | 9 | 9% |
| Other | 4 | 4% |
| Other | 11 | 11% |
| Unknown | 38 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 14 | 15% |
| Medicine and Dentistry | 13 | 14% |
| Biochemistry, Genetics and Molecular Biology | 5 | 5% |
| Agricultural and Biological Sciences | 5 | 5% |
| Social Sciences | 5 | 5% |
| Other | 14 | 15% |
| Unknown | 40 | 42% |