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Mapping Urban Malaria and Diarrhea Mortality in Accra, Ghana: Evidence of Vulnerabilities and Implications for Urban Health Policy

Overview of attention for article published in Journal of Urban Health, June 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

policy
1 policy source
facebook
2 Facebook pages

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
132 Mendeley
Title
Mapping Urban Malaria and Diarrhea Mortality in Accra, Ghana: Evidence of Vulnerabilities and Implications for Urban Health Policy
Published in
Journal of Urban Health, June 2012
DOI 10.1007/s11524-012-9702-x
Pubmed ID
Authors

Julius N. Fobil, Christian Levers, Tobia Lakes, Wibke Loag, Alexander Kraemer, Juergen May

Abstract

Historic increase in urban population numbers in the face of shrinking urban economies and declining social services has meant that a large proportion of the urban population lives in precarious urban conditions, which provide the grounds for high urban health risks in low income countries. This study aims to identify, investigate, and contrast the spatial patterns of vulnerability and risk of two major causes of mortality, viz malaria and diarrhea mortalities, in order to optimize resource allocation for effective urban environmental management and improvement in urban health. A spatial cluster analysis of the observed urban malaria and diarrhea mortalities for the whole city of Accra was conducted. We obtained routinely reported mortality data for the period 1998-2002 from the Ghana Vital Registration System (VRS), computed the fraction of deaths due to malaria and diarrhea at the census cluster level, and analyzed and visualized the data with Geographic Information System (GIS, ArcMap 9.3.1). Regions of identified hotspots, cold spots, and excess mortalities were observed to be associated with some socioeconomic and neighborhood urban environmental conditions, suggesting uneven distribution of risk factors for both urban malaria and diarrhea in areas of rapid urban transformation. Case-control and/or longitudinal studies seeking to understand the individual level factors which mediate socioenvironmental conditions in explaining the observed excess urban mortalities and to establish the full range of risk factors might benefit from initial vulnerability mapping and excess risk analysis using geostatistical approaches. This is key to evidence-based urban health policy reforms in rapidly urbanizing areas in low income economies.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Indonesia 1 <1%
Netherlands 1 <1%
United States 1 <1%
Congo, The Democratic Republic of the 1 <1%
Unknown 126 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 28 21%
Researcher 26 20%
Student > Ph. D. Student 23 17%
Student > Bachelor 11 8%
Student > Postgraduate 6 5%
Other 21 16%
Unknown 17 13%
Readers by discipline Count As %
Medicine and Dentistry 25 19%
Nursing and Health Professions 16 12%
Social Sciences 14 11%
Agricultural and Biological Sciences 9 7%
Environmental Science 9 7%
Other 32 24%
Unknown 27 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 October 2020.
All research outputs
#8,028,774
of 25,559,053 outputs
Outputs from Journal of Urban Health
#866
of 1,723 outputs
Outputs of similar age
#54,990
of 180,908 outputs
Outputs of similar age from Journal of Urban Health
#28
of 53 outputs
Altmetric has tracked 25,559,053 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,723 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.1. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 180,908 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.