Evidence map›Paper›PMID 38662705›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2024

The Hidden Hand of Asymptomatic Infection Hinders Control of Neglected Tropical Diseases: A Modeling Analysis.

Kat S Rock, Lloyd A C Chapman, Andrew P Dobson, Emily R Adams, T Déirdre Hollingsworth

Open access · hybridAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Leishmaniasis.Nature reviews. Disease primers · 2025
    Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. New Tools and Nuanced Interventions to Accelerate Achievement of the 2030 Roadmap for Neglected Tropical Diseases.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    Article
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 2 countries.

Kat S RockZeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, United Kingdom.ORCID 0000-0001-8414-7648
Lloyd A C ChapmanDepartment of Mathematics and Statistics, Lancaster University, Lancaster, United Kingdom.ORCID 0000-0001-7727-7102
Andrew P DobsonDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, USA.ORCID 0000-0002-9678-1694
Emily R AdamsDepartment of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.ORCID 0000-0002-0816-2835
T Déirdre HollingsworthNuffield Department of Medicine, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-5962-4238
Liverpool School of Tropical Medicine · GBLondon School of Hygiene & Tropical Medicine · GBSanta Fe Institute · USUniversity of Oxford · GBUniversity of Warwick · GB

Funding

Bill & Melinda Gates Foundation
6 · The paper itself

Abstract

backgroundNeglected tropical diseases are responsible for considerable morbidity and mortality in low-income populations. International efforts have reduced their global burden, but transmission is persistent and case-finding-based interventions rarely target asymptomatic individuals.

methodsWe develop a generic mathematical modeling framework for analyzing the dynamics of visceral leishmaniasis in the Indian sub-continent (VL), gambiense sleeping sickness (gHAT), and Chagas disease and use it to assess the possible contribution of asymptomatics who later develop disease (pre-symptomatics) and those who do not (non-symptomatics) to the maintenance of infection. Plausible interventions, including active screening, vector control, and reduced time to detection, are simulated for the three diseases.

resultsWe found that the high asymptomatic contribution to transmission for Chagas and gHAT and the apparently high basic reproductive number of VL may undermine long-term control. However, the ability to treat some asymptomatics for Chagas and gHAT should make them more controllable, albeit over relatively long time periods due to the slow dynamics of these diseases. For VL, the toxicity of available therapeutics means the asymptomatic population cannot currently be treated, but combining treatment of symptomatics and vector control could yield a quick reduction in transmission.

conclusionsDespite the uncertainty in natural history, it appears there is already a relatively good toolbox of interventions to eliminate gHAT, and it is likely that Chagas will need improvements to diagnostics and their use to better target pre-symptomatics. The situation for VL is less clear, and model predictions could be improved by additional empirical data. However, interventions may have to improve to successfully eliminate this disease.

Indexed as

Asymptomatic InfectionsChagas DiseaseLeishmaniasis, VisceralModels, TheoreticalNeglected DiseasesAnimalsHumansIndiaTrypanosomiasis, Africanasymptomatic infectionChagas diseasegambiense sleeping sicknessmodelingvisceral leishmaniasis

Identifiers

PMID38662705
PMCPMC11045017
OpenAlexW4395467068

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.