Evidence map›Paper›PMID 33263735›Full record

ArticleThe Journal of infectious diseases2022

Schistosoma Transmission in a Dynamic Seasonal Environment and its Impact on the Effectiveness of Disease Control.

Qimin Huang, David Gurarie, Martial Ndeffo-Mbah, Emily Li, Charles H King

Open access · hybridAbstract read
In one paragraph

Article in The Journal of infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.7field-weighted citation impact, top 35% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 16 citations in OpenAlex.

  1. Effectiveness of Four Different Interventions Against Schistosoma haematobium in a Seasonal Transmission Setting of Côte d'Ivoire: A Cluster Randomized Trial.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 5 institutions in 1 country.

Qimin HuangDepartment of Mathematics, Applied Mathematics and Statistics, Case Western Reserve University, Cleveland, Ohio, USA.ORCID 0000-0001-6994-1739
David GurarieDepartment of Mathematics, Applied Mathematics and Statistics, Case Western Reserve University, Cleveland, Ohio, USA.
Martial Ndeffo-MbahDepartment of Veterinary and Integrative Biosciences, College of Veterinary and Biomedical Sciences, Texas A&M University, College Station, Texas, USA.
Emily LiAscension St Vincent Indianapolis, Family Medicine Residency, Indianapolis, Indiana, USA.
Charles H KingCenter for Global Health and Diseases, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.
Case Western Reserve University · USCenter for Global Health · USSt. Vincent Hospital · USTexas A&M University · USUniversity of Georgia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA seasonal transmission environment including seasonal variation of snail population density and human-snail contact patterns can affect the dynamics of Schistosoma infection and the success of control interventions. In projecting control outcomes, conventional modeling approaches have often ignored seasonality by using simplified intermediate-host modeling, or by restricting seasonal effects through use of yearly averaging.

methodsWe used mathematical analysis and numerical simulation to estimate the impact of seasonality on disease dynamics and control outcomes, and to evaluate whether seasonal averaging or intermediate-host reduction can provide reliable predictions of control outcomes. We also examined whether seasonality could be used as leverage in creation of effective control strategies.

resultsWe found models that used seasonal averaging could grossly overestimate infection burden and underestimate control outcomes in highly seasonal environments. We showed that proper intraseasonal timing of control measures could make marked improvement on the long-term burden reduction for Schistosoma transmission control, and we identified the optimal timing for each intervention. Seasonal snail control, implemented alone, was less effective than mass drug administration, but could provide additive impact in reaching control and elimination targets.

conclusionsSeasonal variation makes Schistosoma transmission less sustainable and easier to control than predicted by earlier modeling studies.

Indexed as

Mass Drug AdministrationSchistosomaAnimalsClimateComputer SimulationHumansSeasonsdisease controlepidemiologymathematical modelingSchistosomaseasonal transmission

Identifiers

PMID33263735
PMCPMC8921996
OpenAlexW3108148040

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.