Evidence map›Paper›PMID 36548648›Full record

ArticleTropical medicine and infectious disease2022

Estimating the Distribution of Japanese Encephalitis Vectors in Australia Using Ecological Niche Modelling.

Morgan Furlong, Andrew Adamu, Roslyn I Hickson, Paul Horwood, Maryam Golchin, Andrew Hoskins, Tanya Russell

Abstract read
In one paragraph

Article in Tropical medicine and infectious disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
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

7 authors.

Morgan FurlongAustralian Institute of Tropical Health and Medicine, James Cook University, Townsville, QLD 4811, Australia.ORCID 0000-0002-9772-9927
Andrew AdamuAustralian Institute of Tropical Health and Medicine, James Cook University, Townsville, QLD 4811, Australia.ORCID 0000-0003-3745-4439
Roslyn I HicksonAustralian Institute of Tropical Health and Medicine, James Cook University, Townsville, QLD 4811, Australia.ORCID 0000-0001-6453-7745
Paul HorwoodAustralian Institute of Tropical Health and Medicine, James Cook University, Townsville, QLD 4811, Australia.ORCID 0000-0001-9622-0742
Maryam GolchinAustralian Institute of Tropical Health and Medicine, James Cook University, Townsville, QLD 4811, Australia.ORCID 0000-0002-5288-0121
Andrew HoskinsCommonwealth Scientific Industrial Research Organisation (CSIRO), Townsville, QLD 4811, Australia.
Tanya RussellAustralian Institute of Tropical Health and Medicine, James Cook University, Townsville, QLD 4811, Australia.ORCID 0000-0002-0920-6844

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent Japanese encephalitis virus (JEV) outbreaks in southeastern Australia have sparked interest into epidemiological factors surrounding the virus' novel emergence in this region. Here, the geographic distribution of mosquito species known to be competent JEV vectors in the country was estimated by combining known mosquito occurrences and ecological drivers of distribution to reveal insights into communities at highest risk of infectious disease transmission. Species distribution models predicted that

Indexed as

arbovirusAustraliaCulexCulex annulirostrisCulex quinquefasciatusCulex sitiensecological niche modellingJapanese encephalitis virusspecies distribution modelling

Identifiers

PMID36548648
PMCPMC9782987

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.