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Geographical distribution of typhoid risk factors in low and middle income countries

Overview of attention for article published in BMC Infectious Diseases, December 2016
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Title
Geographical distribution of typhoid risk factors in low and middle income countries
Published in
BMC Infectious Diseases, December 2016
DOI 10.1186/s12879-016-2074-1
Pubmed ID
Authors

Jung-Seok Lee, Vijayalaxmi V. Mogasale, Vittal Mogasale, Kangsung Lee

Abstract

While the global burden of typhoid fever has been often brought up for attention, the detailed surveillance information has only been available for the limited number of countries. As more efficacious vaccines will be available in the near future, it is essential to understand the geographically diverse patterns of typhoid risk levels and to prioritize the right populations for vaccination to effectively control the disease. A composite index called the typhoid risk factor (TRF) index was created based on data with the Global Positioning System (GPS). Demographic and Health Surveys (DHS) and National Geographical Data Center (NGDC) satellite lights data were used for this analysis. A count model was adopted to validate the TRF index against the existing surveillance burden data. The TRF index was then re-estimated for 66 countries using the most recent data and mapped out for two geographical levels (sub-national boundary and grid-cell levels). The TRF index which consists of drinking water sources, toilet facility types, and population density appeared to be statistically significant to explain variation in the disease burden data. The mapping analysis showed that typhoid risk levels vary not only by country but also by sub-national region. The grid-cell level analysis highlighted that the distribution of typhoid risk factors is uneven within the sub-national boundary level. Typhoid risk levels are geographically heterogeneous. Given the insufficient number of surveillance studies, the TRF index serves as a useful tool by capturing multiple risk factors of the disease into a single indicator. This will help decision makers identify high risk areas for typhoid as well as other waterborne diseases. Further, the study outcome can guide researchers to find relevant places for future surveillance studies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 126 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 16%
Researcher 16 13%
Student > Ph. D. Student 12 10%
Student > Bachelor 11 9%
Student > Postgraduate 9 7%
Other 24 19%
Unknown 34 27%
Readers by discipline Count As %
Medicine and Dentistry 22 17%
Nursing and Health Professions 17 13%
Agricultural and Biological Sciences 11 9%
Biochemistry, Genetics and Molecular Biology 8 6%
Immunology and Microbiology 8 6%
Other 24 19%
Unknown 36 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 15 December 2016.
All research outputs
#15,398,970
of 22,908,162 outputs
Outputs from BMC Infectious Diseases
#4,489
of 7,692 outputs
Outputs of similar age
#250,887
of 415,994 outputs
Outputs of similar age from BMC Infectious Diseases
#130
of 210 outputs
Altmetric has tracked 22,908,162 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% 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 is in the 33rd percentile – i.e., 33% 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 415,994 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 210 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.