Spatial and social factors drive anemia in Congolese women

Messina, Jane P.; Mwandagalirwa, Kashamuka; Taylor, Steve M.; Emch, Michael; Meshnick, Steven R.

doi:10.1016/j.healthplace.2013.07.009

Cited by 12 publications

(17 citation statements)

References 50 publications

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“…4 However, in a population-based study in the Democratic Republic of the Congo, malaria played little or no role as a driver of anemia during pregnancy. 29 Pregnant women are three times more likely to be affected by severe malaria. 30 The World Health Organization defines severe malaria as parasitemia with evidence of end organ dysfunction ( Table 1).…”

Section: Maternal Effectsmentioning

confidence: 99%

An overview of malaria in pregnancy

Bauserman

Conroy

North

et al. 2019

Seminars in Perinatology

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One hundred twenty-five million pregnant women are at risk for contracting malaria, a preventable cause of maternal and infant morbidity and death. Malaria parasites contribute to adverse pregnancy and birth outcomes due to their preferential accumulation in placental intervillous spaces. Pregnant women are particularly vulnerable to malaria infections, and malaria infections during pregnancy put their fetuses at risk. Malaria in pregnancy is associated with anemia, stillbirth, low birth weight and maternal and fetal death. We review the challenges to diagnosing malaria in pregnancy, as well as strategies to prevent and treat malaria in pregnancy. Finally, we discuss the current gaps in knowledge and potential areas for continued research.

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Section: Maternal Effectsmentioning

confidence: 99%

An overview of malaria in pregnancy

Bauserman

Conroy

North

et al. 2019

Seminars in Perinatology

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“…Multi-level modelling (e.g. Chum and O'Campo;Messina et al, 2013) and network analysis using GIS platforms (e.g. Perez-Heydrich et al, 2013;Qi and Du, 2013) appear to be commonly used methods regardless of the level of development (itself a highly contested notion) of the country of interest.…”

Section: Quantitative and Gis Researchmentioning

confidence: 99%

Health geography II

Rosenberg

2015

Progress in Human Geography

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Over the years, various observers of health geography have sought to 'divide' the sub-discipline mainly along theoretical lines or to argue for a broadening of its theoretical base. Paralleling the growing theoretical pluralism within health geography has been a growing methodological pluralism. As in other parts of human geography, health geographers have embraced historical research, quantitative and qualitative methods, and computer mapping and geographic information science (GIS). Analysing recent contributions by health geographers, the question I seek to answer is whether the growing theoretical and methodological pluralism has paradoxically led to increasing divisions in the topics of study based mainly, but not solely, on what methods are employed in the research. While there are topical overlaps (e.g. quantitative and qualitative studies of particular vulnerable groups), it is less obvious as to how research using one methodology is informing research using the other methodology.

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“…Studies of anaemia mainly focus on pregnant women or children, among whom the burden is greatest [ 9 – 13 ]. In this study, we describe the spatial pattern across regions and attempt to identify risk factors of anaemia among males 15-59 years of age and females 15-49 years of age in Ethiopia.…”

Section: Introductionmentioning

confidence: 99%

“…Spatial dependency in health-related data indicates that health outcomes in nearby neighborhoods are more similar to each other than those in distant neighborhoods. The study of geographical heterogeneity on health outcomes is modeled using multilevel or spatial mixed model [ 9 , 10 , 13 ]. Non-spatial multilevel modeling [ 16 , 17 ] cannot address spatial dependency because the method typically assumes that neighborhoods (i.e., spatial units) are statistically independent of each other, thus multilevel models have been criticized as non-spatial and unrealistic [ 18 – 20 ].…”

Section: Introductionmentioning

confidence: 99%

Spatial pattern and determinants of anaemia in Ethiopia

2018

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Anaemia is a condition in which the haemoglobin concentration falls below an established cut-off value due to a decrease in the number and size of red blood cells. The current study aimed (i) to assess the spatial pattern and (ii) to identify determinants related to anaemia using the third Ethiopian demographic health survey. To achieve these objectives, this study took into account the sampling weight and the clustered nature of the data. As a result, multilevel modeling has been used in the statistical analysis. The analysis included complete cases from 15,909 females, and 13,903 males. Among all subjects who agreed for hemeoglobin test, 5.22% males, and 16.60% females were anemic. In both binary and ordinal outcome modeling approaches, educational level, age, wealth index, BMI and HIV status were found to be significant predictors of anaemia prevalence. Furthermore, this study applied spatial methods to generate maps at regional level which could be useful for policy makers where great efforts should be concentrated to reduce the prevalence of anaemia. As revealed by Moran’s I test, significant spatial autocorrelation were noted across clusters. The risk of anaemia was found to vary across different regions, and higher prevalences were observed in Somali and Affar regions.

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Spatial and social factors drive anemia in Congolese women

Cited by 12 publications

References 50 publications

An overview of malaria in pregnancy

An overview of malaria in pregnancy

Health geography II

Spatial pattern and determinants of anaemia in Ethiopia

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