Evidence map›Paper›PMID 25843376›Full record

ArticleEpidemics2015

Seven challenges for modelling indirect transmission: vector-borne diseases, macroparasites and neglected tropical diseases.

T Déirdre Hollingsworth, Juliet R C Pulliam, Sebastian Funk, James E Truscott, Valerie Isham, Alun L Lloyd

Open access · goldAbstract read
In one paragraph

Article in Epidemics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
6.1field-weighted citation impact, top 4% 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

22 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Atto-Foxes and Other Minutiae.Bulletin of mathematical biology · 2021
    Article
  7. Pathogens (Basel, Switzerland) · 2021
    Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Heterogeneity in schistosomiasis transmission dynamics.Journal of theoretical biology · 2017
    Article
  17. Article
  18. Review
  19. Climate change, biodiversity, ticks and tick-borne diseases: The butterfly effect.International journal for parasitology. Parasites and wildlife · 2015
    Article
  20. Modelling Anopheles gambiae s.s. Population Dynamics with Temperature- and Age-Dependent Survival.International journal of environmental research and public health · 2015
    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

6 authors at 5 institutions in 2 countries.

T Déirdre HollingsworthMathematics Institute, University of Warwick, Coventry CV4 7AL, UK; School of Life Sciences, University of Warwick, Coventry CV4 7AL, UK; Department of Clinical Sciences, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool L3 5QA, UK. Electronic address: deirdre.hollingsworth@warwick.ac.uk.
Juliet R C PulliamDepartment of Biology, University of Florida, Gainesville, FL 32611, USA; Emerging Pathogens Institute, University of Florida, Gainesville, FL 32610, USA; Fogarty International Center, National Institutes of Health, Bethesda, MD 20892, USA.
Sebastian FunkCentre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK.
James E TruscottLondon Centre for Neglected Tropical Disease Research, Department of Infectious Disease Epidemiology, School of Public Health, Faculty of Medicine, Imperial College London, W2 1PG London, UK.
Valerie IshamDepartment of Statistical Science, University College London, WC1E 6BT, UK.
Alun L LloydFogarty International Center, National Institutes of Health, Bethesda, MD 20892, USA; Department of Mathematics and Biomathematics Graduate Program, North Carolina State University, NC 27695, USA.
Fogarty International Center · USImperial College London · GBLondon School of Hygiene & Tropical Medicine · GBUniversity College London · GBUniversity of Warwick · GB

Funding

Surveillance Core (B)P01AI098670 · NIAID · UNIVERSITY OF CALIFORNIA AT DAVIS · PI MORRISON, AMY CELESTE · 2014 to 2018
$7.9M
Improving Robustness of a Tactical Model of Aedes/Dengue DynamicsR01AI091980 · NIAID · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI GOULD, FRED · 2011 to 2014
$1.3M
Medical Research Council MR/K021680/1NIAID NIH HHS P01 AI098670NIAID NIH HHS P01-AI098670NIAID NIH HHS R01 AI091980NIAID NIH HHS R01-AI091980Wellcome TrustWellcome Trust 097830/Z/11/A-C
6 · The paper itself

Abstract

Many of the challenges which face modellers of directly transmitted pathogens also arise when modelling the epidemiology of pathogens with indirect transmission--whether through environmental stages, vectors, intermediate hosts or multiple hosts. In particular, understanding the roles of different hosts, how to measure contact and infection patterns, heterogeneities in contact rates, and the dynamics close to elimination are all relevant challenges, regardless of the mode of transmission. However, there remain a number of challenges that are specific and unique to modelling vector-borne diseases and macroparasites. Moreover, many of the neglected tropical diseases which are currently targeted for control and elimination are vector-borne, macroparasitic, or both, and so this article includes challenges which will assist in accelerating the control of these high-burden diseases. Here, we discuss the challenges of indirect measures of infection in humans, whether through vectors or transmission life stages and in estimating the contribution of different host groups to transmission. We also discuss the issues of "evolution-proof" interventions against vector-borne disease.

Indexed as

Disease VectorsAnimalsDisease ReservoirsDisease Transmission, InfectiousHumansIncidenceModels, StatisticalNeglected DiseasesParasitic DiseasesRisk FactorsHelminthsMacroparasitesNeglected tropical diseasesVector-borne diseaseVectors

Identifiers

PMID25843376
PMCPMC4383804
OpenAlexW2060645234

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.