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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.

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 3%
Unknown 37 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 24%
Student > Bachelor 6 16%
Unspecified 5 13%
Student > Ph. D. Student 5 13%
Student > Master 4 11%
Other 9 24%
Readers by discipline Count As %
Unspecified 7 18%
Environmental Science 6 16%
Medicine and Dentistry 4 11%
Agricultural and Biological Sciences 4 11%
Earth and Planetary Sciences 3 8%
Other 14 37%