Evidence map›Paper›PMID 28757789›Full record

ArticleCritical reviews in environmental science and technology2016

Estimating the microbiological risks associated with inland flood events: Bridging theory and models of pathogen transport.

Philip A Collender, Olivia C Cooke, Lee D Bryant, Thomas R Kjeldsen, Justin V Remais

Open access · greenAbstract read
In one paragraph

Article in Critical reviews in environmental science and technology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
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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 2 institutions in 2 countries.

Philip A CollenderEnvironmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, CA 94720.
Olivia C CookeDepartment of Architecture and Civil Engineering, University of Bath, Bath, UK BA2 7AY.
Lee D BryantDepartment of Architecture and Civil Engineering, University of Bath, Bath, UK BA2 7AY.
Thomas R KjeldsenDepartment of Architecture and Civil Engineering, University of Bath, Bath, UK BA2 7AY.
Justin V RemaisEnvironmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, CA 94720.
University of Bath · GBUniversity of California, Berkeley · US

Funding

Effects of agricultural expansion and intensification on infectionsR01TW010286 · FIC · UNIVERSITY OF SOUTH FLORIDA · PI REMAIS, JUSTIN V, ROHR, JASON ROBERT · 2015 to 2019
$2.4M
Models for improving surveillance of environmentally-mediated infectious diseasesK01AI091864 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI REMAIS, JUSTIN V · 2011 to 2015
$643k
FIC NIH HHS R01 TW010286NIAID NIH HHS K01 AI091864
6 · The paper itself

Abstract

Flooding is known to facilitate infectious disease transmission, yet quantitative research on microbiological risks associated with floods has been limited. Pathogen fate and transport models provide a framework to examine interactions between landscape characteristics, hydrology, and waterborne disease risks, but have not been widely developed for flood conditions. We critically examine capabilities of current hydrological models to represent unusual flow paths, non-uniform flow depths, and unsteady flow velocities that accompany flooding. We investigate the theoretical linkages between hydrodynamic processes and spatio-temporally variable suspension and deposition of pathogens from soils and sediments; pathogen dispersion in flow; and concentrations of constituents influencing pathogen transport and persistence. Identifying gaps in knowledge and modeling practice, we propose a research agenda to strengthen microbial fate and transport modeling applied to inland floods: 1) development of models incorporating pathogen discharges from flooded sources (e.g., latrines), effects of transported constituents on pathogen persistence, and supply-limited pathogen transport; 2) studies assessing parameter identifiability and comparing model performance under varying degrees of process representation, in a range of settings; 3) development of remotely sensed datasets to support modeling of vulnerable, data-poor regions; and 4) collaboration between modelers and field-based researchers to expand the collection of useful data in situ.

Identifiers

PMID28757789
PMCPMC5533301
OpenAlexW2565569667

What OpenQuestion holds

Textmetadata
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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.