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Malaria control along China-Myanmar Border during 2007–2013: an integrated impact evaluation

Overview of attention for article published in Infectious Diseases of Poverty, August 2016
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Title
Malaria control along China-Myanmar Border during 2007–2013: an integrated impact evaluation
Published in
Infectious Diseases of Poverty, August 2016
DOI 10.1186/s40249-016-0171-4
Pubmed ID
Authors

Jian-Wei Xu, Yong Li, Heng-Lin Yang, Jun Zhang, Zai-Xing Zhang, Ya-Ming Yang, Hong-Ning Zhou, Joshua Havumaki, Hua-Xian Li, Hui Liu, Hua Zhou, Xin-Yu Xie, Jia-Xiang Dong, Yue Zhang, Xiao-Ying Sun, Bo Li, Jia-Yin Li, Yang-Hui Tian, Pi-Yu Wang, Ben-Fu Li

Abstract

Implementing effective interventions remain a lot of difficulties along all border regions. The emergence of artemisinin resistance of Plasmodium falciparum strains in the Greater Mekong Subregion is a matter of great concern. China has effectively controlled cross-border transmission of malaria and artemisinin resistance of P. falciparum along the China-Myanmar border. A combined quantitative and qualitative study was used to collect data, and then an integrated impact evaluation was conducted to malaria control along the China-Myanmar border during 2007-2013. The parasite prevalence rate (PPR) in the five special regions of Myanmar was decreased from 13.6 % in March 2008 to 1.5 % in November 2013. Compared with the baseline (PPR in March 2008), the risk ratio was only 0.11 [95 % confidence interval (CI), 0.09-0. 14) in November 2013, which is equal to an 89 % reduction in the malaria burden. Annual parasite incidence (API) across 19 Chinese border counties was reduced from 19.6 per 10 000 person-years in 2006 to 0.9 per 10 000 person-years in 2013. Compared with the baseline (API in 2006), the API rate ratio was only 0.05(95 % CI, 0.04-0.05) in 2013, which equates to a reduction of the malaria burden by 95.0 %. Meanwhile, the health service system was strengthened and health inequity of marginalized populations reduced along the international border. The effective collaboration between China, Myanmar and the international non-governmental organization promptly carried out the core interventions through simplified processes. The integrated approaches dramatically decreased malaria burden of Chinese-Myanmar border.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 27%
Student > Master 7 16%
Student > Bachelor 4 9%
Student > Ph. D. Student 4 9%
Student > Doctoral Student 2 5%
Other 7 16%
Unknown 8 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 23%
Medicine and Dentistry 7 16%
Nursing and Health Professions 6 14%
Mathematics 2 5%
Social Sciences 2 5%
Other 6 14%
Unknown 11 25%

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 11 August 2016.
All research outputs
#6,227,026
of 8,200,733 outputs
Outputs from Infectious Diseases of Poverty
#226
of 307 outputs
Outputs of similar age
#182,646
of 257,427 outputs
Outputs of similar age from Infectious Diseases of Poverty
#21
of 27 outputs
Altmetric has tracked 8,200,733 research outputs across all sources so far. This one is in the 13th percentile – i.e., 13% of other outputs scored the same or lower than it.
So far Altmetric has tracked 307 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 15th percentile – i.e., 15% 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 257,427 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.