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Risk assessment of malaria in land border regions of China in the context of malaria elimination

Overview of attention for article published in Malaria Journal, November 2016
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Title
Risk assessment of malaria in land border regions of China in the context of malaria elimination
Published in
Malaria Journal, November 2016
DOI 10.1186/s12936-016-1590-1
Pubmed ID
Authors

Qian Zhang, Junling Sun, Zike Zhang, Qibin Geng, Shengjie Lai, Wenbiao Hu, Archie C. A. Clements, Zhongjie Li

Abstract

Cross-border malaria transmission poses a challenge for countries to achieve and maintain malaria elimination. Because of a dramatic increase of cross-border population movement between China and 14 neighbouring countries, the malaria epidemic risk in China's land border regions needs to be understood. In this study, individual case-based epidemiological data on malaria in the 136 counties of China with international land borders, from 2011 to 2014, were extracted from the National Infectious Disease Information System. The Plasmodium species, seasonality, spatiotemporal distribution and changing features of imported and indigenous cases were analysed using descriptive spatial and temporal methods. A total of 1948 malaria cases were reported, with 1406 (72.2%) imported cases and 542 (27.8%) indigenous cases. Plasmodium vivax is the predominant species, with 1536 malaria cases occurrence (78.9%), following by Plasmodium falciparum (361 cases, 18.5%), and the others (51 cases, 2.6%). The magnitude and geographic distribution of malaria in land border counties shrunk sharply during the elimination period. Imported malaria cases were with a peak of 546 cases in 2011, decreasing yearly in the following years. The number of counties with imported cases decreased from 28 counties in 2011 to 26 counties in 2014. Indigenous malaria cases presented a markedly decreasing trend, with 319 indigenous cases in 2011 reducing to only 33 indigenous cases in 2014. The number of counties with indigenous cases reduced from 26 counties in 2011 to 10 counties in 2014. However, several bordering counties of Yunnan province adjacent to Myanmar reported indigenous malaria cases in the four consecutive years from 2011 to 2014. The scale and extent of malaria occurrence in the international land border counties of China decreased dramatically during the elimination period. However, several high-risk counties, especially along the China-Myanmar border, still face a persistent risk of malaria introduction and transmission. The study emphasizes the importance and urgency of cross-border cooperation between neighbouring countries to jointly face malaria threats to elimination goals.

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 21%
Student > Master 8 15%
Student > Doctoral Student 6 11%
Professor 4 8%
Student > Bachelor 3 6%
Other 9 17%
Unknown 12 23%
Readers by discipline Count As %
Medicine and Dentistry 18 34%
Nursing and Health Professions 5 9%
Social Sciences 5 9%
Agricultural and Biological Sciences 4 8%
Environmental Science 3 6%
Other 3 6%
Unknown 15 28%
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 15 December 2016.
All research outputs
#18,493,111
of 22,914,829 outputs
Outputs from Malaria Journal
#5,057
of 5,581 outputs
Outputs of similar age
#236,894
of 312,895 outputs
Outputs of similar age from Malaria Journal
#63
of 75 outputs
Altmetric has tracked 22,914,829 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.