Evidence map›Paper›PMID 35710879›Full record

ArticleScientific reports2022

Population dynamics of synanthropic rodents after a chemical and infrastructural intervention in an urban low-income community.

Adedayo Michael Awoniyi, Cristina Venegas-Vargas, Fabio Neves Souza, Caio Graco Zeppelini, Kathryn P Hacker, Ticiana Carvalho-Pereira, Catarina Lobo Marins, Mayara Carvalho de Santana, Arsinoê Cristina Pertile, Michael Begon and 7 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

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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

17 authors at 8 institutions in 4 countries.

Adedayo Michael Awoniyi *Institute of Biology, Federal University of Bahia, Ondina, Salvador, 40170-115, Brazil. maawoniyi13@gmail.com.
Cristina Venegas-Vargas *Department of Large Animal Clinical Sciences, College Veterinary Medicine, Michigan State University, East Lansing, MI, 48824, USA.
Fabio Neves SouzaInstitute of Biology, Federal University of Bahia, Ondina, Salvador, 40170-115, Brazil.
Caio Graco ZeppeliniInstitute of Biology, Federal University of Bahia, Ondina, Salvador, 40170-115, Brazil.
Kathryn P HackerDepartment of Epidemiology, University of Michigan, Ann Arbor, MI, 48197, USA.
Ticiana Carvalho-PereiraInstitute of Collective Health, Federal University of Bahia, Canela, Salvador, 40110-040, Brazil.
Catarina Lobo MarinsInstitute of Collective Health, Federal University of Bahia, Canela, Salvador, 40110-040, Brazil.
Mayara Carvalho de SantanaCentro de Pesquisas Gonçalo Moniz, Fundação Oswaldo Cruz, Ministério da Saúde, Rua Waldemar Falcão, 121, Salvador Bahia, Brazil.
Arsinoê Cristina PertileInstitute of Biology, Federal University of Bahia, Ondina, Salvador, 40170-115, Brazil.
Michael BegonDepartment of Evolution, Ecology and Behavior, University of Liverpool, Liverpool, L69 7ZB, UK.
Albert I KoCentro de Pesquisas Gonçalo Moniz, Fundação Oswaldo Cruz, Ministério da Saúde, Rua Waldemar Falcão, 121, Salvador Bahia, Brazil.
Peter J DiggleLancaster Medical School, Lancaster University, Lancaster, LA1 4YW, UK.
Mitermayer G ReisCentro de Pesquisas Gonçalo Moniz, Fundação Oswaldo Cruz, Ministério da Saúde, Rua Waldemar Falcão, 121, Salvador Bahia, Brazil.
James E ChildsDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, 06511, USA.
Eduardo Mendes da SilvaInstitute of Biology, Federal University of Bahia, Ondina, Salvador, 40170-115, Brazil.
Federico CostaInstitute of Biology, Federal University of Bahia, Ondina, Salvador, 40170-115, Brazil.
Hussein KhalilDepartment of Wildlife, Fish and Environmental Studies (VFM), Swedish University of Agricultural Sciences (SLU), Uppsala, Sweden. hussein.khalil@slu.se.
Universidade Federal da Bahia · BRMinistério da Saúde · BRYale University · USLancaster University · GBMichigan State University · USSwedish University of Agricultural Sciences · SEUniversity of Liverpool · GBUniversity of Michigan–Ann Arbor · US

Funding

Research Mentoring and Building Capacity of underrepresented Minority Research Scientists in India.D43TW010540 · FIC · YALE UNIVERSITY · PI MICHELE BARRY, Eva Harris · 2017 to 2026
$15.5M
Global Health Fellows and Scholars Research TrainingR25TW009338 · FIC · UNIVERSITY OF CALIFORNIA BERKELEY · PI BARRY, MICHELE, KO, ALBERT ICKSANG · 2012 to 2016
$5.2M
Disease Determinants of Urban LeptospirosisU01AI088752 · NIAID · YALE UNIVERSITY · PI KO, ALBERT ICKSANG · 2010 to 2014
$3.6M
Natural History of Urban LeptospirosisR01AI052473 · NIAID · YALE UNIVERSITY · PI KO, ALBERT ICKSANG · 2003 to 2013
$2.8M
Ecoepidemiology of leptospirosis in the urban slums of BrazilR01TW009504 · FIC · YALE UNIVERSITY · PI BEGON, MICHAEL, CHILDS, JAMES EMORY · 2012 to 2016
$2.2M
Rodent Population Dynamics and Leptospirosis Infection in Urban Slum EnviornmentsF31AI114245 · NIAID · YALE UNIVERSITY · PI HACKER, KATHRYN PATRICIA · 2014 to 2015
$55k
FIC NIH HHS D43 TW010540FIC NIH HHS R01 TW009504FIC NIH HHS R25 TW009338NIAID NIH HHS F31 AI114245NIAID NIH HHS R01 AI052473NIAID NIH HHS U01 AI088752Wellcome TrustWellcome Trust 102330/Z/13/Z
6 · The paper itself

Abstract

Synanthropic rodents are ubiquitous in low-income communities and pose risks for human health, as they are generally resistant to control programs. However, few or no studies have evaluated the long-term effect of chemical and infrastructural interventions on rodent population dynamics, especially in urban low-income communities, or evaluated the potential recovery of their population following interventions. We conducted a longitudinal study in a low-income community in the city of Salvador (BA, Brazil) to characterize the effect of interventions (chemical and infrastructural) on the dynamics of rodent population, and documented the post-intervention recovery of their population. We evaluated the degree of rodent infestation in 117 households/sampling points over three years (2014-2017), using tracking plates, a proxy for rodent abundance/activity. We reported a significant lower rodent activity/abundance after the chemical and infrastructural interventions (Z = -4.691 (p < 0.001)), with track plate positivity decreasing to 28% from 70% after and before interventions respectively. Therefore, the combination of chemical and infrastructural interventions significantly decreased the degree of rodent infestation in the study area. In addition, no rodent population rebound was recorded until almost a year post-intervention, and the post-intervention infestation level did not attain the pre-intervention level all through the study. Moreover, among pre-treatment conditions, access to sewer rather than the availability of food was the variable most closely associated with household rodent infestation. Our study indicates that Integrated Pest Management (IPM)-approaches are more effective in reducing rodent infestation than the use of a single method. Our findings will be useful in providing guidance for long-term rodent control programs, especially in urban low-income communities.

Indexed as

PovertyRodentiaAnimalsHumansLongitudinal StudiesPopulation DynamicsRodent ControlUrban Population

Identifiers

PMID35710879
PMCPMC9203450
OpenAlexW4283080795

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.