↓ Skip to main content

Seasonally timed treatment programs for Ascaris lumbricoides to increase impact—An investigation using mathematical models

Overview of attention for article published in PLoS Neglected Tropical Diseases, January 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
11 X users

Readers on

mendeley
80 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.
Article details
Title
Seasonally timed treatment programs for Ascaris lumbricoides to increase impact—An investigation using mathematical models
Published in
PLoS Neglected Tropical Diseases, January 2018
DOI 10.1371/journal.pntd.0006195
Pubmed ID
Authors
Abstract

There is clear empirical evidence that environmental conditions can influence Ascaris spp. free-living stage development and host reinfection, but the impact of these differences on human infections, and interventions to control them, is variable. A new model framework reflecting four key stages of the A. lumbricoides life cycle, incorporating the effects of rainfall and temperature, is used to describe the level of infection in the human population alongside the environmental egg dynamics. Using data from South Korea and Nigeria, we conclude that settings with extreme fluctuations in rainfall or temperature could exhibit strong seasonal transmission patterns that may be partially masked by the longevity of A. lumbricoides infections in hosts; we go on to demonstrate how seasonally timed mass drug administration (MDA) could impact the outcomes of control strategies. For the South Korean setting the results predict a comparative decrease of 74.5% in mean worm days (the number of days the average individual spend infected with worms across a 12 month period) between the best and worst MDA timings after four years of annual treatment. The model found no significant seasonal effect on MDA in the Nigerian setting due to a narrower annual temperature range and no rainfall dependence. Our results suggest that seasonal variation in egg survival and maturation could be exploited to maximise the impact of MDA in certain settings.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

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

Mendeley demographics

The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 80 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 13 16%
Student > Bachelor 10 13%
Student > Ph. D. Student 6 8%
Student > Master 5 6%
Other 3 4%
Other 9 11%
Unknown 34 43%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 13 16%
Agricultural and Biological Sciences 8 10%
Biochemistry, Genetics and Molecular Biology 6 8%
Veterinary Science and Veterinary Medicine 2 3%
Immunology and Microbiology 2 3%
Other 11 14%
Unknown 38 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 11 October 2019.
All research outputs
#6,008,741
of 34,411,289 outputs
Outputs from PLoS Neglected Tropical Diseases
#3,539
of 11,454 outputs
Outputs of similar age
#91,724
of 495,615 outputs
Outputs of similar age from PLoS Neglected Tropical Diseases
#79
of 206 outputs
Altmetric has tracked 34,411,289 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,454 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one has gotten more attention than average, scoring higher than 68% 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 495,615 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 206 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.