Evidence map›Paper›PMID 27824881›Full record

ArticlePLoS neglected tropical diseases2016

Exploring Spatial and Temporal Distribution of Cutaneous Leishmaniasis in the Americas, 2001-2011.

Ana Nilce Silveira Maia-Elkhoury, Zaida E Yadón, Martha Idali Saboyá Díaz, Francisca de Fátima de Araújo Lucena, Luis Gerardo Castellanos, Manuel J Sanchez-Vazquez

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
–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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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.

Ana Nilce Silveira Maia-ElkhouryCommunicable Diseases and Health Analysis, Pan American Health Organization, Duque de Caxias, Rio de Janeiro, Brazil.ORCID http://orcid.org/0000-0001-5369-5860
Zaida E YadónCommunicable Diseases and Health Analysis, Pan American Health Organization, Washington, District of Columbia, United States of America.
Martha Idali Saboyá DíazCommunicable Diseases and Health Analysis, Pan American Health Organization, Washington, District of Columbia, United States of America.
Francisca de Fátima de Araújo LucenaMinistry of Social Development and Against Hungry, Brasilia, Federal District, Brazil.
Luis Gerardo CastellanosCommunicable Diseases and Health Analysis, Pan American Health Organization, Washington, District of Columbia, United States of America.
Manuel J Sanchez-VazquezPan American Foot-and-Mouth Disease Center-PANAFTOSA/PAHO, Duque de Caxias, Rio de Janeiro, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

methodsCases reported in the period of 2001-2011 from 14/18 CL endemic countries were included in this study by using two spreadsheet to collect the data. Two indicators were analyzed: CL cases and incidence rate. The local regression method was used to analyze case trends and incidence rates for all the studied period, and for 2011 the spatial distribution of each indicator was analyzed by quartile and stratified into four groups.

resultsFrom 2001-2011, 636,683 CL cases were reported by 14 countries and with an increase of 30% of the reported cases. The average incidence rate in the Americas was 15.89/100,000 inhabitants. In 2011, 15 countries reported cases in 180 from a total of 292 units of first subnational level. The global incidence rate for all countries was 17.42 cases per 100,000 inhabitants; while in 180 administrative units at the first subnational level, the average incidence rate was 57.52/100,000 inhabitants. Nicaragua and Panama had the highest incidence but more cases occurred in Brazil and Colombia. Spatial distribution was heterogeneous for each indicator, and when analyzed in different administrative level. The results showed different distribution patterns, illustrating the limitation of the use of individual indicators and the need to classify higher-risk areas in order to prioritize the actions. This study shows the epidemiological patterns using secondary data and the importance of using multiple indicators to define and characterize smaller territorial units for surveillance and control of leishmaniasis.

Indexed as

Endemic DiseasesSpatio-Temporal AnalysisAmericasBrazilGlobal HealthHumansIncidenceLeishmaniasis, CutaneousNicaraguaPanamaTime Factors

Identifiers

PMID27824881
PMCPMC5100938

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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.