↓ Skip to main content

Geographic coincidence of increased malaria transmission hazard and vulnerability occurring at the periphery of two Tanzanian villages

Overview of attention for article published in Malaria Journal, January 2013
Altmetric Badge

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
103 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Geographic coincidence of increased malaria transmission hazard and vulnerability occurring at the periphery of two Tanzanian villages
Published in
Malaria Journal, January 2013
DOI 10.1186/1475-2875-12-24
Pubmed ID
Authors

Tanya L Russell, Dickson W Lwetoijera, Bart GJ Knols, Willem Takken, Gerry F Killeen, Louise A Kelly-Hope

Abstract

The goal of malaria elimination necessitates an improved understanding of any fine-scale geographic variations in transmission risk so that complementary vector control tools can be integrated into current vector control programmes as supplementary measures that are spatially targeted to maximize impact upon residual transmission. This study examines the distribution of host-seeking malaria vectors at households within two villages in rural Tanzania.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Tanzania, United Republic of 2 2%
India 1 <1%
United Kingdom 1 <1%
Cambodia 1 <1%
United States 1 <1%
Unknown 97 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 21%
Student > Master 16 16%
Student > Bachelor 11 11%
Student > Ph. D. Student 9 9%
Other 7 7%
Other 14 14%
Unknown 24 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 15%
Medicine and Dentistry 15 15%
Environmental Science 10 10%
Social Sciences 7 7%
Nursing and Health Professions 4 4%
Other 21 20%
Unknown 31 30%