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Socio-economic, epidemiological and geographic features based on GIS-integrated mapping to identify malarial hotspots

Overview of attention for article published in Malaria Journal, May 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

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2 news outlets
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6 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

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33 Dimensions

Readers on

mendeley
160 Mendeley
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Title
Socio-economic, epidemiological and geographic features based on GIS-integrated mapping to identify malarial hotspots
Published in
Malaria Journal, May 2015
DOI 10.1186/s12936-015-0685-4
Pubmed ID
Authors

Abdul Qayum, Rakesh Arya, Pawan Kumar, Andrew M Lynn

Abstract

Malaria is a major health problem in the tropical and subtropical world. In India, 95% of the population resides in malaria endemic regions and it is major public health problem in most parts of the country. The present work has developed malaria maps by integrating socio-economic, epidemiology and geographical dimensions of three eastern districts of Uttar Pradesh, India. The area has been studied in each dimension separately, and later integrated to find a list of vulnerable pockets/villages, called as malarial hotspots. The study has been done at village level. Seasonal variation of malaria, comparison of epidemiology indices and progress of the medical facility were studied. Ten independent geographical information system (GIS) maps of socio-economic aspects (population, child population, literacy, and work force participation), epidemiology (annual parasitic index (API) and slides collected and examined) and geographical features (settlement, forest cover, water bodies, rainfall, relative humidity, and temperature) were drawn and studied. These maps were overlaid based on computed weight matrix to find malarial hotspot. It was found that the studied dimensions were inter-weaving factors for malaria epidemic and closely affected malaria situations as evidenced from the obtained correlation matrix. The regions with water logging, high rainfall and proximity to forest, along with poor socio-economic conditions, are primarily hotspot regions. The work is presented through a series of GIS maps, tables, figures and graphs. A total of 2,054 out of 8,973 villages studied were found to be malarial hotspots and consequently suggestions were made to the concerned government malaria offices. With developing technology, information tools such as GIS, have captured almost every field of scientific research especially of vector-borne diseases, such as malaria. Malarial mapping enables easy update of information and effortless accessibility of geo-referenced data to policy makers to produce cost-effective measures for malaria control in endemic regions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 160 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Kenya 1 <1%
Tanzania, United Republic of 1 <1%
Unknown 156 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 41 26%
Researcher 28 18%
Student > Bachelor 13 8%
Student > Ph. D. Student 10 6%
Lecturer 9 6%
Other 25 16%
Unknown 34 21%
Readers by discipline Count As %
Medicine and Dentistry 23 14%
Social Sciences 17 11%
Agricultural and Biological Sciences 14 9%
Environmental Science 12 8%
Computer Science 10 6%
Other 43 27%
Unknown 41 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 May 2023.
All research outputs
#1,631,673
of 25,260,058 outputs
Outputs from Malaria Journal
#260
of 5,888 outputs
Outputs of similar age
#20,094
of 270,987 outputs
Outputs of similar age from Malaria Journal
#5
of 118 outputs
Altmetric has tracked 25,260,058 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,888 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done particularly well, scoring higher than 95% 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 270,987 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 118 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.