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Climatic fluctuations and malaria transmission dynamics, prior to elimination, in Guna Yala, República de Panamá

Overview of attention for article published in Malaria Journal, February 2018
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Title
Climatic fluctuations and malaria transmission dynamics, prior to elimination, in Guna Yala, República de Panamá
Published in
Malaria Journal, February 2018
DOI 10.1186/s12936-018-2235-3
Pubmed ID
Authors

Lisbeth Amarilis Hurtado, José E. Calzada, Chystrie A. Rigg, Milagros Castillo, Luis Fernando Chaves

Abstract

Malaria has historically been entrenched in indigenous populations of the República de Panamá. This scenario occurs despite the fact that successful methods for malaria elimination were developed during the creation of the Panamá Canal. Today, most malaria cases in the República de Panamá affect the Gunas, an indigenous group, which mainly live in autonomous regions of eastern Panamá. Over recent decades several malaria outbreaks have affected the Gunas, and one hypothesis is that such outbreaks could have been exacerbated by climate change, especially by anomalous weather patterns driven by the EL Niño Southern Oscillation (ENSO). Monthly malaria cases in Guna Yala (1998-2016) were autocorrelated up to 2 months of lag, likely reflecting parasite transmission cycles between humans and mosquitoes, and cyclically for periods of 4 months that might reflect relapses of Plasmodium vivax, the dominant malaria parasite transmitted in Panamá. Moreover, malaria case number was positively associated (P < 0.05) with rainfall (7 months of lag), and negatively with the El Niño 4 index (15 months of lag) and the Normalized Difference Vegetation Index, NDVI (8 months of lag), the sign and magnitude of these associations likely related to the impacts of weather patterns and vegetation on the ecology of Anopheles albimanus, the main malaria vector in Guna Yala. Interannual cycles, of approximately 4-year periods, in monthly malaria case numbers were associated with the El Niño 4 index, a climatic index associated with weather and vegetation dynamics in Guna Yala at seasonal and interannual time scales. The results showed that ENSO, rainfall and NDVI were associated with the number of malaria cases in Guna Yala during the study period. These results highlight the vulnerability of Guna populations to malaria, an infection sensitive to climate change, and call for further studies about weather impacts on malaria vector ecology, as well as the association of malaria vectors with Gunas paying attention to their socio-economic conditions of poverty and cultural differences as an ethnic minority.

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 90 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 16 18%
Researcher 14 16%
Student > Master 12 13%
Student > Ph. D. Student 8 9%
Other 4 4%
Other 13 14%
Unknown 23 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 16%
Biochemistry, Genetics and Molecular Biology 8 9%
Medicine and Dentistry 8 9%
Environmental Science 8 9%
Nursing and Health Professions 4 4%
Other 17 19%
Unknown 31 34%
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 23 February 2018.
All research outputs
#17,930,799
of 23,023,224 outputs
Outputs from Malaria Journal
#4,885
of 5,599 outputs
Outputs of similar age
#240,510
of 331,055 outputs
Outputs of similar age from Malaria Journal
#126
of 145 outputs
Altmetric has tracked 23,023,224 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 5,599 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 331,055 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 145 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.