↓ Skip to main content

A geostatistical analysis of the association between armed conflicts and Plasmodium falciparum malaria in Africa, 1997–2010

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

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
3 news outlets
blogs
1 blog
twitter
14 X users
facebook
2 Facebook pages

Readers on

mendeley
68 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.
Title
A geostatistical analysis of the association between armed conflicts and Plasmodium falciparum malaria in Africa, 1997–2010
Published in
Malaria Journal, December 2015
DOI 10.1186/s12936-015-1024-5
Pubmed ID
Authors

Luigi Sedda, Qiuyin Qi, Andrew J. Tatem

Abstract

The absence of conflict in a country has been cited as a crucial factor affecting the operational feasibility of achieving malaria control and elimination, yet mixed evidence exists on the influence that conflicts have had on malaria transmission. Over the past two decades, Africa has seen substantial numbers of armed conflicts of varying length and scale, creating conditions that can disrupt control efforts and impact malaria transmission. However, very few studies have quantitatively assessed the associations between conflicts and malaria transmission, particularly in a consistent way across multiple countries. In this analysis an explicit geostatistical, autoregressive, mixed model is employed to quantitatively assess the association between conflicts and variations in Plasmodium falciparum parasite prevalence across a 13-year period in sub-Saharan Africa. Analyses of geolocated, malaria prevalence survey variations against armed conflict data in general showed a wide, but short-lived impact of conflict events geographically. The number of countries with decreased P. falciparum parasite prevalence (17) is larger than the number of countries with increased transmission (12), and notably, some of the countries with the highest transmission pre-conflict were still found with lower transmission post-conflict. For four countries, there were no significant changes in parasite prevalence. Finally, distance from conflicts, duration of conflicts, violence of conflict, and number of conflicts were significant components in the model explaining the changes in P. falciparum parasite rate. The results suggest that the maintenance of intervention coverage and provision of healthcare in conflict situations to protect vulnerable populations can maintain gains in even the most difficult of circumstances, and that conflict does not represent a substantial barrier to elimination goals.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 67 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 21%
Student > Ph. D. Student 9 13%
Student > Master 8 12%
Student > Bachelor 7 10%
Lecturer 3 4%
Other 10 15%
Unknown 17 25%
Readers by discipline Count As %
Medicine and Dentistry 12 18%
Nursing and Health Professions 7 10%
Computer Science 5 7%
Social Sciences 5 7%
Agricultural and Biological Sciences 4 6%
Other 16 24%
Unknown 19 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 38. 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 09 January 2019.
All research outputs
#1,015,428
of 24,580,204 outputs
Outputs from Malaria Journal
#136
of 5,786 outputs
Outputs of similar age
#17,659
of 400,487 outputs
Outputs of similar age from Malaria Journal
#4
of 151 outputs
Altmetric has tracked 24,580,204 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,786 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done particularly well, scoring higher than 97% 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 400,487 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 95% of its contemporaries.
We're also able to compare this research output to 151 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.