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An integrated approach for risk profiling and spatial prediction of Schistosoma mansoni–hookworm coinfection

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, May 2006
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Title
An integrated approach for risk profiling and spatial prediction of Schistosoma mansoni–hookworm coinfection
Published in
Proceedings of the National Academy of Sciences of the United States of America, May 2006
DOI 10.1073/pnas.0601559103
Pubmed ID
Authors

Giovanna Raso, Penelope Vounatsou, Burton H. Singer, Eliézer K. N′Goran, Marcel Tanner, Jürg Utzinger

Abstract

Multiple-species parasitic infections are pervasive in the developing world, yet resources for their control are scarce. We present an integrated approach for risk profiling and spatial prediction of coinfection with Schistosoma mansoni and hookworm for western Côte d'Ivoire. Our approach combines demographic, environmental, and socioeconomic data; incorporates them into a geographic information system; and employs spatial statistics. Demographic and socioeconomic data were obtained from education registries and from a questionnaire administered to schoolchildren. Environmental data were derived from remotely sensed satellite images and digitized ground maps. Parasitologic data, obtained from fecal examination by using two different diagnostic approaches, served as the outcome measure. Bayesian variogram models were used to assess risk factors and spatial variation of S. mansoni-hookworm coinfection in relation to demographic, environmental, and socioeconomic variables. Coinfections were found in 680 of 3,578 schoolchildren (19.0%) with complete data records. The prevalence of monoinfections with either hookworm or S. mansoni was 24.3% and 24.1%, respectively. Multinomial Bayesian spatial models showed that age, sex, socioeconomic status, and elevation were good predictors for the spatial distribution of S. mansoni-hookworm coinfection. We conclude that our integrated approach, employing a diversity of data sources, geographic information system and remote sensing technologies, and Bayesian spatial statistics, is a powerful tool for risk profiling and spatial prediction of S. mansoni-hookworm coinfection. More generally, this approach facilitates risk mapping and prediction of other parasite combinations and multiparasitism, and hence can guide integrated disease control programs in resource-constrained settings.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 162 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
Ghana 1 <1%
Brazil 1 <1%
South Africa 1 <1%
United Kingdom 1 <1%
United States 1 <1%
Unknown 156 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 19%
Researcher 31 19%
Student > Master 30 19%
Student > Doctoral Student 15 9%
Professor > Associate Professor 8 5%
Other 23 14%
Unknown 24 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 17%
Medicine and Dentistry 20 12%
Environmental Science 15 9%
Social Sciences 11 7%
Computer Science 8 5%
Other 48 30%
Unknown 32 20%
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 26 March 2018.
All research outputs
#8,219,054
of 24,625,114 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#64,491
of 101,438 outputs
Outputs of similar age
#24,861
of 70,078 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#342
of 561 outputs
Altmetric has tracked 24,625,114 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 101,438 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one is in the 15th percentile – i.e., 15% 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 70,078 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 561 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.