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Associations between malaria and local and global climate variability in five regions in Papua New Guinea

Overview of attention for article published in Tropical Medicine & Health, August 2016
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Title
Associations between malaria and local and global climate variability in five regions in Papua New Guinea
Published in
Tropical Medicine & Health, August 2016
DOI 10.1186/s41182-016-0021-x
Pubmed ID
Authors

Chisato Imai, Hae-Kwan Cheong, Ho Kim, Yasushi Honda, Jin-Hee Eum, Clara T. Kim, Jin Seob Kim, Yoonhee Kim, Swadhin K. Behera, Mohd Nasir Hassan, Joshua Nealon, Hyenmi Chung, Masahiro Hashizume

Abstract

Malaria is a significant public health issue in Papua New Guinea (PNG) as the burden is among the highest in Asia and the Pacific region. Though PNG's vulnerability to climate change and sensitivity of malaria mosquitoes to weather are well-documented, there are few in-depth epidemiological studies conducted on the potential impacts of climate on malaria incidence in the country. This study explored what and how local weather and global climate variability impact on malaria incidence in five regions of PNG. Time series methods were applied to evaluate the associations of malaria incidence with weather and climate factors, respectively. Local weather factors including precipitation and temperature and global climate phenomena such as El Niño-Southern Oscillation (ENSO), the ENSO Modoki, the Southern Annular Mode, and the Indian Ocean Dipole were considered in analyses. The results showed that malaria incidence was associated with local weather factors in most regions but at the different lag times and in directions. Meanwhile, there were trends in associations with global climate factors by geographical locations of study sites. Overall heterogeneous associations suggest the importance of location-specific approaches in PNG not only for further investigations but also public health interventions in repose to the potential impacts arising from climate change.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 2%
Unknown 50 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 24%
Student > Bachelor 7 14%
Student > Ph. D. Student 7 14%
Student > Master 6 12%
Other 3 6%
Other 6 12%
Unknown 10 20%
Readers by discipline Count As %
Environmental Science 10 20%
Medicine and Dentistry 5 10%
Agricultural and Biological Sciences 5 10%
Earth and Planetary Sciences 4 8%
Veterinary Science and Veterinary Medicine 2 4%
Other 13 25%
Unknown 12 24%

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 10 October 2020.
All research outputs
#13,879,369
of 17,397,008 outputs
Outputs from Tropical Medicine & Health
#169
of 241 outputs
Outputs of similar age
#201,909
of 275,148 outputs
Outputs of similar age from Tropical Medicine & Health
#1
of 1 outputs
Altmetric has tracked 17,397,008 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 241 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
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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