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Optimizing strategies for population-based chlamydia infection screening among young women: an age-structured system dynamics approach

Overview of attention for article published in BMC Public Health, July 2015
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Title
Optimizing strategies for population-based chlamydia infection screening among young women: an age-structured system dynamics approach
Published in
BMC Public Health, July 2015
DOI 10.1186/s12889-015-1975-z
Pubmed ID
Authors

Yu Teng, Nan Kong, Wanzhu Tu

Abstract

Chlamydia infection (CT) is one of the most commonly reported sexually transmitted diseases. It is often referred to as a "silent" disease with the majority of infected people having no symptoms. Without early detection, it can progress to serious reproductive and other health problems. Economical identification of asymptomatically infected is a key public health challenge. Increasing evidence suggests that CT infection risk varies over the range of adolescence. Hence, age-dependent screening strategies with more frequent testing for certain age groups of higher risk may be cost-saving in controlling the disease. We study the optimization of age-dependent screening strategies for population-based chlamydia infection screening among young women. We develop an age-structured compartment model for CT natural progress, screening, and treatment. We apply parameter optimization on the resultant PDE-based system dynamical models with the objective of minimizing the total care spending, including screening and treatment costs during the program period and anticipated costs of treating the sequelae afterwards). For ease of practical implementation, we also search for the best screening initiation age for strategies with a constant screening frequency. The optimal age-dependent strategies identified outperform the current CDC recommendations both in terms of total care spending and disease prevalence at the termination of the program. For example, the age-dependent strategy that allows monthly screening rate changes can save about 5 % of the total spending. Our results suggest early initiation of CT screening is likely beneficial to the cost saving and prevalence reduction. Finally, our results imply that the strategy design may not be sensitive to accurate quantification of the age-specific CT infection risk if screening initiation age and screening rate are the only decisions to make. Our research demonstrates the potential economic benefit of age-dependent screening strategy design for population-based screening programs. It also showcases the applicability of age-structured system dynamical modeling to infectious disease control with increasing evidence on the age differences in infection risk. The research can be further improved with consideration of the difference between first-time infection and reinfection, as well as population heterogeneity in sexual partnership.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 23%
Researcher 6 15%
Student > Ph. D. Student 5 13%
Student > Bachelor 4 10%
Librarian 3 8%
Other 8 21%
Unknown 4 10%
Readers by discipline Count As %
Nursing and Health Professions 7 18%
Medicine and Dentistry 5 13%
Social Sciences 4 10%
Business, Management and Accounting 3 8%
Environmental Science 2 5%
Other 11 28%
Unknown 7 18%

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 12 July 2015.
All research outputs
#3,760,657
of 5,342,881 outputs
Outputs from BMC Public Health
#4,853
of 5,685 outputs
Outputs of similar age
#129,244
of 185,598 outputs
Outputs of similar age from BMC Public Health
#222
of 249 outputs
Altmetric has tracked 5,342,881 research outputs across all sources so far. This one is in the 16th percentile – i.e., 16% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,685 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 6th percentile – i.e., 6% of its peers scored the same or lower than it.
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We're also able to compare this research output to 249 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.