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Mapping and modelling the impact of mass drug adminstration on filariasis prevalence in Myanmar

Overview of attention for article published in Infectious Diseases of Poverty, May 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)

Mentioned by

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11 tweeters

Citations

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11 Dimensions

Readers on

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42 Mendeley
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Title
Mapping and modelling the impact of mass drug adminstration on filariasis prevalence in Myanmar
Published in
Infectious Diseases of Poverty, May 2018
DOI 10.1186/s40249-018-0420-9
Pubmed ID
Authors

Ni Ni Aye, Zaw Lin, Khin Nan Lon, Nay Yi Yi Linn, Thet Wai Nwe, Khin Mon Mon, Kapa Ramaiah, Hannah Betts, Louise A. Kelly-Hope

Abstract

Lymphatic filariasis (LF) is endemic in Myanmar and targeted for elimination. To highlight the National Programme to Eliminate Lymphatic Filariasis (NPELF) progress between 2000 and 2014, this paper describes the geographical distribution of LF, the scale-up and impact of mass drug administration (MDA) implementation, and the first evidence of the decline in transmission in five districts. The LF distribution was determined by mapping historical and baseline prevalence data collected by NPELF. Data on the MDA implementation, reported coverage rates and sentinel site surveillance were summarized. A statistical model was developed from the available prevalence data to predict prevalence at township level by year of measurement. Transmission assessment survey (TAS) methods, measuring antigenemia (Ag) prevalence in children, were used to determine whether prevalence was below a level where recrudescence is unlikely to occur. The highest baseline LF prevalence was found in the Central Valley region. The MDA implementation activities scaled up to cover 45 districts, representing the majority of the endemic population, with drug coverage rates ranging from 60.0% to 98.5%. Challenges related to drug supply and local conflict were reported, and interrupted MDA in some districts. Overall, significant reductions in LF prevalence were found, especially after the first 2 to 3 rounds of MDA, which was supported by the corresponding model. The TAS activities in five districts found only two Ag positive children, resulting in all districts passing the critical threshold. Overall, the Myanmar NPELF has made positive steps forward in the elimination of LF despite several challenges, however, it needs to maintain momentum, drawing on international stakeholder support, to aim towards the national and global goals of elimination.

Twitter Demographics

The data shown below were collected from the profiles of 11 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 21%
Student > Master 7 17%
Student > Bachelor 6 14%
Other 4 10%
Student > Doctoral Student 3 7%
Other 6 14%
Unknown 7 17%
Readers by discipline Count As %
Medicine and Dentistry 11 26%
Immunology and Microbiology 4 10%
Agricultural and Biological Sciences 4 10%
Nursing and Health Professions 3 7%
Social Sciences 3 7%
Other 6 14%
Unknown 11 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 04 June 2018.
All research outputs
#3,221,710
of 17,183,399 outputs
Outputs from Infectious Diseases of Poverty
#149
of 652 outputs
Outputs of similar age
#74,227
of 287,285 outputs
Outputs of similar age from Infectious Diseases of Poverty
#1
of 1 outputs
Altmetric has tracked 17,183,399 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 652 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done well, scoring higher than 76% of its peers.
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 287,285 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them