Evidence map›Paper›PMID 32973088›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Inferring transmission trees to guide targeting of interventions against visceral leishmaniasis and post-kala-azar dermal leishmaniasis.

Lloyd A C Chapman, Simon E F Spencer, Timothy M Pollington, Chris P Jewell, Dinesh Mondal, Jorge Alvar, T Déirdre Hollingsworth, Mary M Cameron, Caryn Bern, Graham F Medley

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.0field-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

20 citing papers in PubMed, 31 citations in OpenAlex.

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  6. The Hidden Hand of Asymptomatic Infection Hinders Control of Neglected Tropical Diseases: A Modeling Analysis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
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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

10 authors at 8 institutions in 4 countries.

Lloyd A C ChapmanDepartment of Global Health and Development, London School of Hygiene and Tropical Medicine, London WC1H 9SH, United Kingdom; lloyd.chapman@ucsf.edu.ORCID 0000-0001-7727-7102
Simon E F SpencerZeeman Institute, University of Warwick, Coventry CV4 7AL, United Kingdom.ORCID 0000-0002-8375-5542
Timothy M PollingtonZeeman Institute, University of Warwick, Coventry CV4 7AL, United Kingdom.ORCID 0000-0002-9688-5960
Chris P JewellCentre for Health Informatics, Computing and Statistics, Lancaster University, Lancaster LA1 4YW, United Kingdom.
Dinesh MondalNutrition and Clinical Services Division, International Centre for Diarrhoeal Disease Research Bangladesh, Dhaka 1212, Bangladesh.
Jorge AlvarResearch and Development, Drugs for Neglected Diseases Initiative, Geneva 1202, Switzerland.ORCID 0000-0003-2920-742X
T Déirdre HollingsworthBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, United Kingdom.ORCID 0000-0001-5962-4238
Mary M CameronDepartment of Disease Control, London School of Hygiene and Tropical Medicine, London WC1E 7HT, United Kingdom.ORCID 0000-0001-5693-082X
Caryn BernDepartment of Epidemiology and Biostatistics, University of California, San Francisco, CA 94158-2549.ORCID 0000-0001-8195-7303
Graham F MedleyDepartment of Global Health and Development, London School of Hygiene and Tropical Medicine, London WC1H 9SH, United Kingdom.ORCID 0000-0002-0030-7278
University of Warwick · GBDrugs for Neglected Diseases Initiative · CHInternational Centre for Diarrhoeal Disease Research · BDLancaster University · GBLondon School of Hygiene & Tropical Medicine · GBUniversity of California, San Francisco · USUniversity of London · GBUniversity of Oxford · GB

Funding

Medical Research Council MR/P026400/1
6 · The paper itself

Abstract

Understanding of spatiotemporal transmission of infectious diseases has improved significantly in recent years. Advances in Bayesian inference methods for individual-level geo-located epidemiological data have enabled reconstruction of transmission trees and quantification of disease spread in space and time, while accounting for uncertainty in missing data. However, these methods have rarely been applied to endemic diseases or ones in which asymptomatic infection plays a role, for which additional estimation methods are required. Here, we develop such methods to analyze longitudinal incidence data on visceral leishmaniasis (VL) and its sequela, post-kala-azar dermal leishmaniasis (PKDL), in a highly endemic community in Bangladesh. Incorporating recent data on VL and PKDL infectiousness, we show that while VL cases drive transmission when incidence is high, the contribution of PKDL increases significantly as VL incidence declines (reaching 55% in this setting). Transmission is highly focal: 85% of mean distances from inferred infectors to their secondary VL cases were <300 m, and estimated average times from infector onset to secondary case infection were <4 mo for 88% of VL infectors, but up to 2.9 y for PKDL infectors. Estimated numbers of secondary cases per VL and PKDL case varied from 0 to 6 and were strongly correlated with the infector's duration of symptoms. Counterfactual simulations suggest that prevention of PKDL could have reduced overall VL incidence by up to 25%. These results highlight the need for prompt detection and treatment of PKDL to achieve VL elimination in the Indian subcontinent and provide quantitative estimates to guide spatiotemporally targeted interventions against VL.

Indexed as

Asymptomatic InfectionsBangladeshCoinfectionContact TracingEndemic DiseasesHumansIncidenceLeishmaniasis, CutaneousLeishmaniasis, VisceralLongitudinal StudiesBayesian inferencepost–kala-azar dermal leishmaniasisspatiotemporal transmissiontransmission treevisceral leishmaniasis

Identifiers

PMID32973088
PMCPMC7568327
OpenAlexW3011523897

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.