Evidence map›Paper›PMID 32681899›Full record

SynthesisThe Lancet. Planetary health2020

Effects of agrochemical pollution on schistosomiasis transmission: a systematic review and modelling analysis.

Christopher M Hoover, Samantha L Rumschlag, Luke Strgar, Arathi Arakala, Manoj Gambhir, Giulio A de Leo, Susanne H Sokolow, Jason R Rohr, Justin V Remais

Erratum issuedOpen access · goldAbstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in The Lancet. Planetary health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.9field-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

10 citing papers in PubMed, 65 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 2 countries.

Christopher M HooverDivision of Environmental Health Sciences, Berkeley School of Public Health, University of California, Berkeley, Berkeley, CA, USA.
Samantha L RumschlagDepartment of Biological Sciences, Eck Institute of Global Health, University of Notre Dame, Notre Dame, IN, USA.
Luke StrgarDivision of Environmental Health Sciences, Berkeley School of Public Health, University of California, Berkeley, Berkeley, CA, USA.
Arathi ArakalaDiscipline of Mathematics, School of Sciences, Royal Melbourne Institute of Technology University, Melbourne, VIC, Australia.
Manoj GambhirPort Melbourne, VIC, Australia.
Giulio A de LeoDepartment of Biology, Hopkins Marine Station, Stanford University, Pacific Grove, CA, USA; Woods Institute for the Environment and Center for Innovation in Global Health, Stanford University, Stanford, CA, USA.
Susanne H SokolowDepartment of Biology, Hopkins Marine Station, Stanford University, Pacific Grove, CA, USA; Woods Institute for the Environment and Center for Innovation in Global Health, Stanford University, Stanford, CA, USA.
Jason R RohrDepartment of Biological Sciences, Eck Institute of Global Health, University of Notre Dame, Notre Dame, IN, USA.
Justin V RemaisDivision of Environmental Health Sciences, Berkeley School of Public Health, University of California, Berkeley, Berkeley, CA, USA. Electronic address: jvr@berkeley.edu.
Berkeley Public Health Division · USUniversity of Notre Dame · USCenter for Innovation · USPacific University · USRMIT University · AUUniversity of California, Berkeley · US

Funding

Spatio-temporal data integration methods for infectious disease surveillanceR01AI125842 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI CHANG, HOWARD H, REMAIS, JUSTIN V · 2017 to 2021
$3.6M
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
FIC NIH HHS R01 TW010286NIAID NIH HHS R01 AI125842
6 · The paper itself

Abstract

backgroundAgrochemical pollution of surface waters is a growing global environmental challenge, especially in areas where agriculture is rapidly expanding and intensifying. Agrochemicals might affect schistosomiasis transmission through direct and indirect effects on Schistosoma parasites, their intermediate snail hosts, snail predators, and snail algal resources. We aimed to review and summarise the effects of these agrochemicals on schistosomiasis transmission dynamics.

methodsWe did a systematic review of agrochemical effects on the lifecycle of Schistosoma spp and fitted dose-response models to data regarding the association between components of the lifecycle and agrochemical concentrations. We incorporated these dose-response functions and environmentally relevant concentrations of agrochemicals into a mathematical model to estimate agrochemical effects on schistosomiasis transmission. Dose-response functions were used to estimate individual agrochemical effects on estimates of the agrochemically influenced basic reproduction number, R

findingsWe derived 120 dose-response functions describing the effects of agrochemicals on schistosome lifecycle components. The median estimate of the basic reproduction number under agrochemical-free conditions, was 1·65 (IQR 1·47-1·79). Agrochemical effects on estimates of R

interpretationExpected environmental concentrations of agrochemicals alter schistosomiasis transmission through direct and indirect effects on intermediate host and parasite densities. As industrial agricultural practices expand in areas where schistosomiasis is endemic, strategies to prevent increases in transmission due to agrochemical pollution should be developed and pursued.

fundingNational Science Foundation, National Institutes of Health.

Indexed as

AgrochemicalsAnimalsEnvironmental PollutantsEnvironmental PollutionFood ChainHost-Parasite InteractionsHumansSchistosomaSchistosomiasisAgrochemicalsEnvironmental Pollutants

Identifiers

PMID32681899
PMCPMC7754781
OpenAlexW3043490589

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.