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Spatial and temporal dynamics of malaria in Madagascar

Overview of attention for article published in Malaria Journal, February 2018
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  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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6 X users
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Citations

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33 Dimensions

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107 Mendeley
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Title
Spatial and temporal dynamics of malaria in Madagascar
Published in
Malaria Journal, February 2018
DOI 10.1186/s12936-018-2206-8
Pubmed ID
Authors

Felana A. Ihantamalala, Feno M. J. Rakotoarimanana, Tanjona Ramiadantsoa, Jean Marius Rakotondramanga, Gwenaëlle Pennober, Fanjasoa Rakotomanana, Simon Cauchemez, Charlotte J. E. Metcalf, Vincent Herbreteau, Amy Wesolowski

Abstract

Malaria is one of the primary health concerns in Madagascar. Based on the duration and intensity of transmission, Madagascar is divided into five epidemiological strata that range from low to mesoendemic transmission. In this study, the spatial and temporal dynamics of malaria within each epidemiological zone were studied. The number of reported cases of uncomplicated malaria from 112 health districts between 2010 and 2014 were compiled and analysed. First, a Standardized Incidence Ratio was calculated to detect districts with anomalous incidence compared to the stratum-level incidence. Building on this, spatial and temporal malaria clusters were identified throughout the country and their variability across zones and over time was analysed. The incidence of malaria increased from 2010 to 2014 within each stratum. A basic analysis showed that districts with more than 50 cases per 1000 inhabitants are mainly located in two strata: East and West. Lower incidence values were found in the Highlands and Fringe zones. The standardization method revealed that the number of districts with a higher than expected numbers of cases increased through time and expanded into the Highlands and Fringe zones. The cluster analysis showed that for the endemic coastal region, clusters of districts migrated southward and the incidence of malaria was the highest between January and July with some variation within strata. This study identified critical districts with low incidence that shifted to high incidence and district that were consistent clusters across each year. The current study provided a detailed description of changes in malaria epidemiology and can aid the national malaria programme to reduce and prevent the expansion of the disease by targeting the appropriate areas.

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The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 107 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 21%
Student > Ph. D. Student 20 19%
Student > Master 11 10%
Student > Bachelor 8 7%
Student > Doctoral Student 8 7%
Other 13 12%
Unknown 25 23%
Readers by discipline Count As %
Medicine and Dentistry 15 14%
Environmental Science 14 13%
Agricultural and Biological Sciences 10 9%
Biochemistry, Genetics and Molecular Biology 6 6%
Social Sciences 5 5%
Other 24 22%
Unknown 33 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 December 2020.
All research outputs
#6,169,867
of 24,400,706 outputs
Outputs from Malaria Journal
#1,565
of 5,827 outputs
Outputs of similar age
#118,143
of 448,350 outputs
Outputs of similar age from Malaria Journal
#35
of 125 outputs
Altmetric has tracked 24,400,706 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 5,827 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has gotten more attention than average, scoring higher than 73% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 448,350 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 125 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.