Title |
A Model of Malaria Epidemiology Involving Weather, Exposure and Transmission Applied to North East India
|
---|---|
Published in |
PLOS ONE, November 2012
|
DOI | 10.1371/journal.pone.0049713 |
Pubmed ID | |
Authors |
Prashant Goswami, Upadhayula Suryanarayana Murty, Srinivasa Rao Mutheneni, Avinash Kukkuthady, Swathi Trithala Krishnan |
Abstract |
Quantitative relations between weather variables and malaria vector can enable pro-active control through meteorological monitoring. Such relations are also critical for reliable projections in a changing climate, especially since the vector abundance depends on a combination of weather variables, each in a given range. Further, such models need to be region-specific as vector population and exposure depend on regional characteristics. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Indonesia | 1 | 1% |
United Kingdom | 1 | 1% |
Unknown | 84 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 19 | 22% |
Student > Ph. D. Student | 13 | 15% |
Student > Master | 11 | 13% |
Student > Bachelor | 8 | 9% |
Student > Doctoral Student | 4 | 5% |
Other | 16 | 19% |
Unknown | 15 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 19 | 22% |
Agricultural and Biological Sciences | 13 | 15% |
Environmental Science | 8 | 9% |
Computer Science | 6 | 7% |
Social Sciences | 4 | 5% |
Other | 17 | 20% |
Unknown | 19 | 22% |