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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Geographical heterogeneity in the analysis of factors associated with leprosy in an endemic area of Brazil: are we eliminating the disease?
|
|---|---|
| Published in |
BMC Infectious Diseases, April 2015
|
| DOI | 10.1186/s12879-015-0924-x |
| Pubmed ID | |
| Authors |
Mônica Duarte-Cunha, Geraldo Marcelo da Cunha, Reinaldo Souza-Santos |
| Abstract |
The leprosy transmission chain is very complex and, in order to intervene in this transmission, more must be known about the factors linked to falling ill. There are doubts as to the influence of population size, population density and the disease's magnitude in detection rate trends. This paper aimed to identify factors associated with detection of leprosy in an endemic municipality of Rio de Janeiro State, Brazil. This ecological study in Duque de Caxias municipality, Rio de Janeiro State, Brazil, used neighbourhoods (bairros) as the unit of analysis. Selecting new cases of leprosy detected from 1998 to 2006, the analysis examined clinical, socioeconomic and service variables using a Poisson log-Normal model. In the municipality overall, 2572 new cases were detected, a rate of 3.70 cases/10,000 inhabitants. The results describe a heterogeneous distribution of cases and rates in the municipality. The final model displayed a significant association with indeterminate clinical form (β = 2.599), proportion of homes with running water (β = -2.334) and presence of a decentralised health care unit (β = 0.524). Although the results indicate progress towards elimination of the disease in the municipality, high rates continue to be detected in municipal sub-regions. The following question can thus be posed: over how wide a geographical area could the disease be thoroughly eliminated, given this heterogeneity within a small municipality? |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 66 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 17 | 25% |
| Student > Bachelor | 8 | 12% |
| Researcher | 6 | 9% |
| Student > Postgraduate | 5 | 7% |
| Student > Doctoral Student | 4 | 6% |
| Other | 17 | 25% |
| Unknown | 11 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 12 | 18% |
| Medicine and Dentistry | 11 | 16% |
| Agricultural and Biological Sciences | 5 | 7% |
| Social Sciences | 4 | 6% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Other | 19 | 28% |
| Unknown | 14 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 25 April 2015.
All research outputs
#18,407,102
of 22,800,560 outputs
Outputs from BMC Infectious Diseases
#5,599
of 7,674 outputs
Outputs of similar age
#193,194
of 265,098 outputs
Outputs of similar age from BMC Infectious Diseases
#67
of 96 outputs
Altmetric has tracked 22,800,560 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,674 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. 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 265,098 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 96 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.