↓ Skip to main content

Malaria and the mobile and migrant population in Cambodia: a population movement framework to inform strategies for malaria control and elimination

Overview of attention for article published in Malaria Journal, June 2015
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)

Mentioned by

1 blog
1 policy source
14 tweeters
3 Facebook pages


56 Dimensions

Readers on

182 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Malaria and the mobile and migrant population in Cambodia: a population movement framework to inform strategies for malaria control and elimination
Published in
Malaria Journal, June 2015
DOI 10.1186/s12936-015-0773-5
Pubmed ID

Philippe Guyant, Sara E Canavati, Nguon Chea, Po Ly, Maxine Anne Whittaker, Arantxa Roca-Feltrer, Shunmay Yeung


The relationships between human population movement (HPM) and health are a concern at global level. In the case of malaria, those links are crucial in relation to the spread of drug resistant parasites and to the elimination of malaria in the Greater Mekong sub-Region (GMS) and beyond. The mobile and migrant populations (MMP) who are involved in forest related activities are both at high risk of being infected with malaria and at risk of receiving late and sub-standard treatment due to poor access to health services. In Cambodia, in 2012, the National Malaria Control Programme (NMCP) identified, as a key objective, the development of a specific strategy for MMPs in order to address these challenges. A population movement framework (PMF) for malaria was developed and operationalized in order to contribute to this strategy. A review of the published and unpublished literature was conducted. Based on a synthesis of the results, information was presented and discussed with experienced researchers and programme managers in the Cambodian NMCP and led to the development and refinement of a PMF for malaria. The framework was "tested" for face and content validity with national experts through a workshop approach. In the literature, HPM has been described using various spatial and temporal dimensions both in the context of the spread of anti-malarial drug resistance, and in the context of malaria elimination and previous classifications have categorized MMPs in Cambodia and the GMS through using a number of different criteria. Building on these previous models, the PMF was developed and then refined and populated with in-depth information relevant to Cambodia collected from social science research and field experiences in Cambodia. The framework comprises of the PMF itself, MMP activity profiles and a Malaria Risk Index which is a summation of three related indices: a vulnerability index, an exposure index and an access index which allow a qualitative ranking of malaria risk in the MMP population. Application of currently available data to the framework illustrates that the highest risk population are those highly mobile populations engaged in forest work. This paper describes the process of defining MMPs in Cambodia, identifying the different activities and related risks to appropriately target and tailor interventions to the highest risk groups. The framework has been used to develop more targeted behaviour change and outreach interventions for MMPs in Cambodia and its utility and effectiveness will be evaluated as part of those interventions.

Twitter Demographics

The data shown below were collected from the profiles of 14 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 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
United States 1 <1%
Unknown 179 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 47 26%
Student > Master 43 24%
Student > Ph. D. Student 17 9%
Student > Bachelor 16 9%
Student > Postgraduate 9 5%
Other 30 16%
Unknown 20 11%
Readers by discipline Count As %
Medicine and Dentistry 58 32%
Social Sciences 22 12%
Agricultural and Biological Sciences 19 10%
Nursing and Health Professions 12 7%
Biochemistry, Genetics and Molecular Biology 6 3%
Other 35 19%
Unknown 30 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 January 2017.
All research outputs
of 15,835,002 outputs
Outputs from Malaria Journal
of 4,481 outputs
Outputs of similar age
of 234,136 outputs
Outputs of similar age from Malaria Journal
of 1 outputs
Altmetric has tracked 15,835,002 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,481 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done particularly well, scoring higher than 95% 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 234,136 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them