Evidence map›Paper›PMID 22403315›Full record

ArticleThe American journal of tropical medicine and hygiene2012

Triatomine infestation in Guatemala: spatial assessment after two rounds of vector control.

Jennifer Manne, Jun Nakagawa, Yoichi Yamagata, Alexander Goehler, John S Brownstein, Marcia C Castro

Open access · bronzeAbstract read
In one paragraph

Article in The American journal of tropical medicine and hygiene, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.8field-weighted citation impact, top 17% 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

14 citing papers in PubMed, 29 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

6 authors at 1 institution in 1 country.

Jennifer ManneDepartment of Global Health and Population, Harvard University School of Public Health, Boston, Massachusetts 02115, USA. jmanne@post.harvard.edu
Jun Nakagawa
Yoichi Yamagata
Alexander Goehler
John S Brownstein
Marcia C Castro
Harvard Global Health Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 2000, the Guatemalan Ministry of Health initiated a Chagas disease program to control Rhodnius prolixus and Triatoma dimidiata by periodic house spraying with pyrethroid insecticides to characterize infestation patterns and analyze the contribution of programmatic practices to these patterns. Spatial infestation patterns at three time points were identified using the Getis-Ord Gi*(d) test. Logistic regression was used to assess predictors of reinfestation after pyrethroid insecticide administration. Spatial analysis showed high and low clusters of infestation at three time points. After two rounds of spray, 178 communities persistently fell in high infestation clusters. A time lapse between rounds of vector control greater than 6 months was associated with 1.54 (95% confidence interval = 1.07-2.23) times increased odds of reinfestation after first spray, whereas a time lapse of greater than 1 year was associated with 2.66 (95% confidence interval = 1.85-3.83) times increased odds of reinfestation after first spray compared with localities where the time lapse was less than 180 days. The time lapse between rounds of vector control should remain under 1 year. Spatial analysis can guide targeted vector control efforts by enabling tracking of reinfestation hotspots and improved targeting of resources.

Indexed as

AnimalsChagas DiseaseEnvironmental MonitoringEpidemiological MonitoringGuatemalaHousingInsect ControlInsecticidesInsect VectorsLogistic ModelsParasitic DiseasesPyrethrinsRhodniusTriatomaInsecticidesPyrethrins

Identifiers

PMID22403315
PMCPMC3284360
OpenAlexW2129018942

What OpenQuestion holds

Textmetadata
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.