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Retracing Micro-Epidemics of Chagas Disease Using Epicenter Regression

Overview of attention for article published in PLoS Computational Biology, September 2011
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Title
Retracing Micro-Epidemics of Chagas Disease Using Epicenter Regression
Published in
PLoS Computational Biology, September 2011
DOI 10.1371/journal.pcbi.1002146
Pubmed ID
Authors

Michael Z. Levy, Dylan S. Small, Daril A. Vilhena, Natalie M. Bowman, Vivian Kawai, Juan G. Cornejo del Carpio, Eleazar Cordova-Benzaquen, Robert H. Gilman, Caryn Bern, Joshua B. Plotkin

Abstract

Vector-borne transmission of Chagas disease has become an urban problem in the city of Arequipa, Peru, yet the debilitating symptoms that can occur in the chronic stage of the disease are rarely seen in hospitals in the city. The lack of obvious clinical disease in Arequipa has led to speculation that the local strain of the etiologic agent, Trypanosoma cruzi, has low chronic pathogenicity. The long asymptomatic period of Chagas disease leads us to an alternative hypothesis for the absence of clinical cases in Arequipa: transmission in the city may be so recent that most infected individuals have yet to progress to late stage disease. Here we describe a new method, epicenter regression, that allows us to infer the spatial and temporal history of disease transmission from a snapshot of a population's infection status. We show that in a community of Arequipa, transmission of T. cruzi by the insect vector Triatoma infestans occurred as a series of focal micro-epidemics, the oldest of which began only around 20 years ago. These micro-epidemics infected nearly 5% of the community before transmission of the parasite was disrupted through insecticide application in 2004. Most extant human infections in our study community arose over a brief period of time immediately prior to vector control. According to our findings, the symptoms of chronic Chagas disease are expected to be absent, even if the strain is pathogenic in the chronic phase of disease, given the long asymptomatic period of the disease and short history of intense transmission. Traducción al español disponible en Alternative Language Text S1/A Spanish translation of this article is available in Alternative Language Text S1.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 12%
Brazil 2 4%
Argentina 1 2%
Unknown 43 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 19%
Professor > Associate Professor 6 12%
Student > Doctoral Student 5 10%
Student > Bachelor 5 10%
Student > Ph. D. Student 5 10%
Other 12 23%
Unknown 9 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 48%
Medicine and Dentistry 7 13%
Mathematics 3 6%
Biochemistry, Genetics and Molecular Biology 2 4%
Environmental Science 1 2%
Other 5 10%
Unknown 9 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 30 September 2011.
All research outputs
#15,184,741
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#6,529
of 8,964 outputs
Outputs of similar age
#88,367
of 137,146 outputs
Outputs of similar age from PLoS Computational Biology
#67
of 115 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,964 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
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We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.