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Topographical distribution of anopheline mosquitoes in an area under elimination programme in the south of Iran

Overview of attention for article published in Malaria Journal, July 2015
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Title
Topographical distribution of anopheline mosquitoes in an area under elimination programme in the south of Iran
Published in
Malaria Journal, July 2015
DOI 10.1186/s12936-015-0771-7
Pubmed ID
Authors

Moussa Soleimani-Ahmadi, Hassan Vatandoost, Mehdi Zare, Habibolla Turki, Ali Alizadeh

Abstract

Malaria is a major vector-borne disease in tropical and sub-tropical countries caused by Plasmodium infection. It is one the most important health problem in south and southeast of Iran. Since Iran has recently launched to the elimination phase of malaria and vector control is one of the main strategies for elimination, this study was conducted to determine the topographical distribution of malaria vectors in Minab County, one of the important malaria endemic areas in south of Iran. In this cross-sectional study, six villages in three topographically different sites namely coastal plain, foothill and mountainous areas were selected by simple random sampling. The anopheline larvae were collected using the standard dipping method. The specimens were identified using a morphology based-key. Statistical analyses were performed using SPSS ver.16 software. In total, 3,841 anopheles larvae were collected from 24 larval habitats. They consisted of ten species: Anopheles moghulensis (25.23%), Anopheles stephensi (24.47%), Anopheles dthali (19.14%), Anopheles culicifacies (9.63%), Anopheles fluviatilis (7.52%), Anopheles superpictus (5.62%), Anopheles turkhudi (5.55%), Anopheles pulcherrimus (1.93%), Anopheles multicolor (0.47%), and Anopheles apoci (0.44%). Most species were distributed in different topographies and only An. Stephensi and An. culicifacies, the main malaria vectors in Iran, were significantly associated with the altitude of studied areas. An. moghulensis, An. stephensi and An. dthali were the most widespread species and were, respectively predominant in Coastal plain, foothill and mountainous areas. Results of this study have revealed that there are many malaria vectors that are distributed in Minab County and some of them are expected to be predominant in areas with special topographic characteristics. This finding can provide a basis for effective planning and implementation of evidence-based malaria vector intervention strategies towards vector control, which may help in malaria elimination in the study area.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 52 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 15%
Student > Master 6 11%
Student > Bachelor 5 9%
Researcher 5 9%
Other 4 8%
Other 5 9%
Unknown 20 38%
Readers by discipline Count As %
Medicine and Dentistry 8 15%
Agricultural and Biological Sciences 6 11%
Social Sciences 4 8%
Environmental Science 3 6%
Biochemistry, Genetics and Molecular Biology 3 6%
Other 8 15%
Unknown 21 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 06 July 2015.
All research outputs
#17,765,638
of 22,816,807 outputs
Outputs from Malaria Journal
#4,851
of 5,563 outputs
Outputs of similar age
#176,247
of 262,285 outputs
Outputs of similar age from Malaria Journal
#98
of 110 outputs
Altmetric has tracked 22,816,807 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,563 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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 262,285 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 110 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.