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The relationship between burden of childhood disease and foreign aid for child health

Overview of attention for article published in BMC Health Services Research, September 2017
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Title
The relationship between burden of childhood disease and foreign aid for child health
Published in
BMC Health Services Research, September 2017
DOI 10.1186/s12913-017-2540-5
Pubmed ID
Authors

J. Clay Bavinger, Paul Wise, Eran Bendavid

Abstract

We sought to examine the relationship between child specific health aid (CHA) and burden of disease. Based on existing evidence, we hypothesized that foreign aid for child health would not be proportional to burden of disease. In order to examine CHA and burden of disease, we obtained estimates of these parameters from established sources. Estimates of disability adjusted life years (DALYs) in children (0-5 years) were obtained from the World Health Organization for 2000 and 2012. The 10 most burdensome disease categories in each continent, excluding high-income countries, were identified for study. Descriptions of all foreign aid commitments between 1996 and 2009 were obtained from AidData, and an algorithm to designate the target diseases of the commitments was constructed. Data were examined in scatterplots for trends. The most burdensome childhood diseases varied by continent. In all continents, newborn diseases, vaccine-preventable diseases (lower respiratory diseases, measles, meningitis, tetanus, and pertussis), and diarrheal diseases ranked within the four most burdensome diseases. Infectious diseases such as malaria, tuberculosis, and HIV were also among the ten most burdensome diseases in sub-Saharan Africa, and non-communicable diseases were associated with much of the burden in the other continents. CHA grew from $7.4 billion in 1996 to $17.7 billion in 2009 for our study diseases. Diarrheal diseases and malnutrition received the most CHA as well as the most CHA per DALY. CHA directed at HIV increased dramatically over our study period, from $227,000 in 1996 to $3.4 billion in 2008. Little aid was directed at injuries such as drowning, car accidents, and fires, as well as complex medical diseases such as leukemia and endocrine disorders. CHA has grown significantly over the last two decades. There is no clear relationship between CHA and burden of disease. This report provides a description of foreign aid for child health, and hopes to inform policy and decision-making regarding foreign aid.

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Mendeley readers

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 18 19%
Researcher 12 13%
Student > Ph. D. Student 11 11%
Student > Bachelor 7 7%
Student > Postgraduate 7 7%
Other 9 9%
Unknown 32 33%
Readers by discipline Count As %
Medicine and Dentistry 22 23%
Nursing and Health Professions 14 15%
Social Sciences 6 6%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Immunology and Microbiology 3 3%
Other 11 11%
Unknown 36 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 28 March 2020.
All research outputs
#16,157,978
of 24,576,899 outputs
Outputs from BMC Health Services Research
#5,886
of 8,308 outputs
Outputs of similar age
#193,622
of 320,583 outputs
Outputs of similar age from BMC Health Services Research
#101
of 132 outputs
Altmetric has tracked 24,576,899 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,308 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 26th percentile – i.e., 26% 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 320,583 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 132 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.