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Climate variability and infectious diseases nexus: Evidence from Sweden

Overview of attention for article published in Infectious Disease Modelling, May 2017
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2 X users
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1 Redditor

Citations

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35 Dimensions

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138 Mendeley
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Title
Climate variability and infectious diseases nexus: Evidence from Sweden
Published in
Infectious Disease Modelling, May 2017
DOI 10.1016/j.idm.2017.03.003
Pubmed ID
Authors

Franklin Amuakwa-Mensah, George Marbuah, Mwenya Mubanga

Abstract

Many studies on the link between climate variability and infectious diseases are based on biophysical experiments, do not account for socio-economic factors and with little focus on developed countries. This study examines the effect of climate variability and socio-economic variables on infectious diseases using data from all 21 Swedish counties. Employing static and dynamic modelling frameworks, we observe that temperature has a linear negative effect on the number of patients. The relationship between winter temperature and the number of patients is non-linear and "U" shaped in the static model. Conversely, a positive effect of precipitation on the number of patients is found, with modest heterogeneity in the effect of climate variables on the number of patients across disease classifications observed. The effect of education and number of health personnel explain the number of patients in a similar direction (negative), while population density and immigration drive up reported cases. Income explains this phenomenon non-linearly. In the dynamic setting, we found significant persistence in the number of infectious and parasitic-diseased patients, with temperature and income observed as the only significant drivers.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 138 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 26 19%
Student > Bachelor 18 13%
Researcher 17 12%
Student > Ph. D. Student 11 8%
Lecturer 8 6%
Other 23 17%
Unknown 35 25%
Readers by discipline Count As %
Environmental Science 19 14%
Nursing and Health Professions 12 9%
Agricultural and Biological Sciences 12 9%
Medicine and Dentistry 8 6%
Earth and Planetary Sciences 8 6%
Other 36 26%
Unknown 43 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 18 November 2021.
All research outputs
#14,918,049
of 25,382,440 outputs
Outputs from Infectious Disease Modelling
#99
of 282 outputs
Outputs of similar age
#164,737
of 324,351 outputs
Outputs of similar age from Infectious Disease Modelling
#2
of 6 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 282 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.6. This one has gotten more attention than average, scoring higher than 63% 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 324,351 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.