Evidence map›Paper›PMID 29162098›Full record

ArticleMalaria journal2017

Malaria early warning tool: linking inter-annual climate and malaria variability in northern Guadalcanal, Solomon Islands.

Jason Smith, Lloyd Tahani, Albino Bobogare, Hugo Bugoro, Francis Otto, George Fafale, David Hiriasa, Adna Kazazic, Grant Beard, Amanda Amjadali and 1 more

Abstract read
In one paragraph

Article in Malaria journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Jason SmithAustralian Bureau of Meteorology, 700 Collins St, Docklands, Melbourne, VIC, 3008, Australia.
Lloyd TahaniSolomon Islands Meteorological Service, Honiara, Capital Territory, Solomon Islands.
Albino BobogareNational Vector Borne Disease Control Programme, Honiara, Capital Territory, Solomon Islands.
Hugo BugoroNational Vector Borne Disease Control Programme, Honiara, Capital Territory, Solomon Islands.
Francis OttoNational Vector Borne Disease Control Programme, Honiara, Capital Territory, Solomon Islands.
George FafaleNational Vector Borne Disease Control Programme, Honiara, Capital Territory, Solomon Islands.
David HiriasaSolomon Islands Meteorological Service, Honiara, Capital Territory, Solomon Islands.
Adna KazazicAustralian Bureau of Meteorology, 700 Collins St, Docklands, Melbourne, VIC, 3008, Australia.
Grant BeardAustralian Bureau of Meteorology, 700 Collins St, Docklands, Melbourne, VIC, 3008, Australia.
Amanda AmjadaliAustralian Bureau of Meteorology, 700 Collins St, Docklands, Melbourne, VIC, 3008, Australia.
Isabelle JeanneAustralian Bureau of Meteorology, 700 Collins St, Docklands, Melbourne, VIC, 3008, Australia. isabelle.jeanne@bom.gov.au.ORCID 0000-0002-5065-9685

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalaria control remains a significant challenge in the Solomon Islands. Despite progress made by local malaria control agencies over the past decade, case rates remain high in some areas of the country. Studies from around the world have confirmed important links between climate and malaria transmission. This study focuses on understanding the links between malaria and climate in Guadalcanal, Solomon Islands, with a view towards developing a climate-based monitoring and early warning for periods of enhanced malaria transmission.

methodsClimate records were sourced from the Solomon Islands meteorological service (SIMS) and historical malaria case records were sourced from the National Vector-Borne Disease Control Programme (NVBDCP). A declining trend in malaria cases over the last decade associated with improved malaria control was adjusted for. A stepwise regression was performed between climate variables and climate-associated malaria transmission (CMT) at different lag intervals to determine where significant relationships existed. The suitability of these results for use in a three-tiered categorical warning system was then assessed using a Mann-Whitney U test.

resultsOf the climate variables considered, only rainfall had a consistently significant relationship with malaria in North Guadalcanal. Optimal lag intervals were determined for prediction using R

conclusionThis study demonstrated that rainfall provides the best predictor of malaria transmission in North Guadalcanal. This relationship is thought to be underpinned by the unique hydrological conditions in northern Guadalcanal which allow sandbars to form across the mouths of estuaries which act to develop or increase stagnant brackish marshes in low rainfall periods. These are ideal habitats for the main mosquito vector, Anopheles farauti. High rainfall accumulations result in the flushing of these habitats, reducing their viability. The results of this study are now being used as the basis of a malaria early warning system which has been jointly implemented by the SIMS, NVBDCP and the Australian Bureau of Meteorology.

Indexed as

ClimateClimate ChangeAnimalsAnophelesEnvironmental MonitoringMalariaMelanesiaMosquito VectorsAnopheles farautiClimateEarly warningGuadalcanalMalariaRainfallSolomon Islands

Identifiers

PMID29162098
PMCPMC5697090

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.