Evidence map›Paper›PMID 35255865›Full record

ArticleBMC public health2022

Spatiotemporal analysis of dengue fever in Burkina Faso from 2016 to 2019.

Cheick Ahmed Ouattara, Seydou Traore, Ibrahim Sangare, Tiandiogo Isidore Traore, Ziemlé Clément Meda, Léon G Blaise Savadogo

Abstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 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

13 citing papers in PubMed, 2 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.

Cheick Ahmed OuattaraNAZI BONI University, Centre Hospitalier Universitaire Souro Sanou, Bobo-Dioulasso, Burkina Faso. ouattaracheickahmed@gmail.com.ORCID 0000-0002-1014-2171
Seydou TraoreCentre Hospitalier Universitaire Souro Sanou, Bobo-Dioulasso, Burkina Faso.ORCID 0000-0003-4077-6930
Ibrahim SangareNAZI BONI University, Bobo-Dioulasso, Burkina Faso.ORCID 0000-0002-0926-3881
Tiandiogo Isidore TraoreNAZI BONI University, Bobo-Dioulasso, Burkina Faso.ORCID 0000-0003-1135-5715
Ziemlé Clément MedaNAZI BONI University, Centre Hospitalier Universitaire Souro Sanou, Bobo-Dioulasso, Burkina Faso.ORCID 0000-0002-9362-7448
Léon G Blaise SavadogoNAZI BONI University, Centre Hospitalier Universitaire Souro Sanou, Bobo-Dioulasso, Burkina Faso.ORCID 0000-0002-7861-8607

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBurkina Faso experienced an epidemic resurgence of dengue in 2016, which led to the implementation of several control strategies. In order to allow a better adaptation of these strategies, we studied the spatio-temporal distribution of dengue.

methodsMonthly dengue cases from 2016 to 2019, aggregated at the health district level, were used to map the crude incidence, excess risk, and smoothed incidence of dengue in Burkina Faso with GeoDa software. A Kulldoff scan on Satscan software was then used to identify spatio-temporal clustering of cases.

resultsThe results show that the distribution of dengue fever across the health districts of Burkina Faso is heterogeneous. Dengue was considered non-endemic in 9 out of the 70 health districts, minimally endemic in 45 districts (< 10 incidences), moderately endemic (10-100 incidences) in 12 districts, and highly endemic (> 100 incidences) in 4 districts. The main cluster covered the health districts of Baskuy, Nongr-massom, Sig-noghin, Boulmiougou, and Bogodogo. The months of October and November corresponded to the peak of cases and a significant temporal cluster in 2017.

conclusionThis study identified the spatial and temporal clustering of dengue cases in Burkina Faso. These results may help to develop better preventive strategies.

Indexed as

DengueBurkina FasoCluster AnalysisHumansIncidenceSpatio-Temporal AnalysisBurkina FasoClusterDengueExcess riskIncidence

Identifiers

PMID35255865
PMCPMC8903647

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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.