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Febrile illness diagnostics and the malaria-industrial complex: a socio-environmental perspective

Overview of attention for article published in BMC Infectious Diseases, November 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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Citations

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178 Mendeley
Title
Febrile illness diagnostics and the malaria-industrial complex: a socio-environmental perspective
Published in
BMC Infectious Diseases, November 2016
DOI 10.1186/s12879-016-2025-x
Pubmed ID
Authors

Justin Stoler, Gordon A. Awandare

Abstract

Global prioritization of single-disease eradication programs over improvements to basic diagnostic capacity in the Global South have left the world unprepared for epidemics of chikungunya, Ebola, Zika, and whatever lies on the horizon. The medical establishment is slowly realizing that in many parts of sub-Saharan Africa (SSA), particularly urban areas, up to a third of patients suffering from acute fever do not receive a correct diagnosis of their infection. Malaria is the most common diagnosis for febrile patients in low-resource health care settings, and malaria misdiagnosis has soared due to the institutionalization of malaria as the primary febrile illness of SSA by international development organizations and national malaria control programs. This has inadvertently created a "malaria-industrial complex" and historically obstructed our complete understanding of the continent's complex communicable disease epidemiology, which is currently dominated by a mélange of undiagnosed febrile illnesses. We synthesize interdisciplinary literature from Ghana to highlight the complexity of communicable disease care in SSA from biomedical, social, and environmental perspectives, and suggest a way forward. A socio-environmental approach to acute febrile illness etiology, diagnostics, and management would lead to substantial health gains in Africa, including more efficient malaria control. Such an approach would also improve global preparedness for future epidemics of emerging pathogens such as chikungunya, Ebola, and Zika, all of which originated in SSA with limited baseline understanding of their epidemiology despite clinical recognition of these viruses for many decades. Impending ACT resistance, new vaccine delays, and climate change all beckon our attention to proper diagnosis of fevers in order to maximize limited health care resources.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 178 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Unknown 176 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 31 17%
Researcher 26 15%
Student > Bachelor 17 10%
Student > Postgraduate 10 6%
Other 9 5%
Other 33 19%
Unknown 52 29%
Readers by discipline Count As %
Medicine and Dentistry 26 15%
Nursing and Health Professions 18 10%
Social Sciences 14 8%
Agricultural and Biological Sciences 12 7%
Biochemistry, Genetics and Molecular Biology 9 5%
Other 43 24%
Unknown 56 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 21 July 2021.
All research outputs
#12,974,189
of 22,901,818 outputs
Outputs from BMC Infectious Diseases
#3,011
of 7,692 outputs
Outputs of similar age
#196,860
of 417,510 outputs
Outputs of similar age from BMC Infectious Diseases
#80
of 199 outputs
Altmetric has tracked 22,901,818 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,692 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has gotten more attention than average, scoring higher than 59% of its peers.
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 417,510 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 52% of its contemporaries.
We're also able to compare this research output to 199 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.