Evidence map›Paper›PMID 31785149›Full record

ArticleBiometrics2020

Bayesian compartmental models and associated reproductive numbers for an infection with multiple transmission modes.

Marie V Ozanne, Grant D Brown, Angela J Toepp, Breanna M Scorza, Jacob J Oleson, Mary E Wilson, Christine A Petersen

Abstract read
In one paragraph

Article in Biometrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Review
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

7 authors.

Marie V OzanneDepartment of Mathematics & Statistics, Mount Holyoke College, South Hadley, Massachusetts.ORCID 0000-0001-5020-8529
Grant D BrownDepartment of Biostatistics, University of Iowa College of Public Health, Iowa City, Iowa.
Angela J ToeppDepartment of Epidemiology, University of Iowa College of Public Health, Iowa City, Iowa.
Breanna M ScorzaDepartment of Epidemiology, University of Iowa College of Public Health, Iowa City, Iowa.
Jacob J OlesonDepartment of Biostatistics, University of Iowa College of Public Health, Iowa City, Iowa.
Mary E WilsonDepartment of Internal Medicine, University of Iowa Roy J and Lucille A Carver College of Medicine, Iowa City, Iowa.
Christine A PetersenDepartment of Epidemiology, University of Iowa College of Public Health, Iowa City, Iowa.

Funding

TRAINING IN MECHANISMS OF PARASITISMT32AI007511 · NIAID · UNIVERSITY OF IOWA · PI BUTLER, NOAH SULLIVAN, WEBER, MARY · 1996 to 2025
$8.1M
INTERDISCIPLINARY IMMUNOLOGY TRAINING PROGRAMT32AI007260 · NIAID · UNIVERSITY OF IOWA · PI BUTLER, NOAH SULLIVAN, WU, LI · 1986 to 2023
$5.7M
Field trial and modeling of transmission blocking vaccine to prevent Lyme diseaseR01AI139267 · NIAID · UNIVERSITY OF IOWA · PI BROWN, GRANT D, GOMES-SOLECKI, MARIA · 2019 to 2023
$3.6M
Epidemic modeling framework for complex, multi-species disease processesR01TW010500 · FIC · UNIVERSITY OF IOWA · PI OLESON, JACOB, PETERSEN, CHRISTINE A · 2016 to 2020
$2.4M
BLRD VA I01 BX000536BLRD VA I01 BX001983FIC NIH HHS R01 TW010500NIAID NIH HHS R01 AI139267NIAID NIH HHS T32 AI007260NIAID NIH HHS T32 AI007511
6 · The paper itself

Abstract

Zoonotic visceral leishmaniasis (ZVL) is a serious neglected tropical disease that is endemic in 98 countries. ZVL is primarily transmitted via a sand fly vector. In the United States, it is enzootic in some canine populations; it is transmitted from infectious mother to pup transplacentally, and vector-borne transmission is absent. This absence affords a unique opportunity to study (1) vertical transmission dynamics in dogs and (2) the importance of vertical transmission in maintaining an infectious reservoir in the presence of a vector. In this paper, we present Bayesian compartmental models and reproductive number formulations to examine (1) and (2), providing a mechanism to plan and evaluate interventions in regions where both transmission modes are present. First, we propose an individual-level susceptible, infectious, removed (SIR) model to study the effect of maternal infection status during pregnancy on pup infection progression. We provide evidence that pups born to diagnostically positive mothers during pregnancy are more likely to become diagnostically positive both earlier in life, and at some point during their lifetime, than those born to diagnostically negative mothers. Second, we propose a population-level SIR model to study the impact of a vertically maintained reservoir on propagating infection in a naive canine population through emergent vector transmission using simulation studies. We also present reproductive numbers to quantify contributions of vertically infected and vector-infected dogs to maintaining infection in the population. We show that a vertically maintained canine reservoir can propagate infection in a theoretical naive population in the presence of a vector.

Indexed as

Dog DiseasesLeishmaniasis, VisceralAnimalsBayes TheoremComputer SimulationDogsFemaleInfectious Disease Transmission, VerticalPregnancyUnited Statesempirically adjusted reproductive numberSIRvertical transmissionvisceral leishmaniasis

Identifiers

PMID31785149
PMCPMC7673222

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Registered trials

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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.