ArticleThe journal of climate change and health
Article in The journal of climate change and health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: According to the World Health Organization, dengue is among the top ten global health threats. The invasion of new sites by Methods: This evaluation was carried out through species distribution models, using maximum entropy modeling technique, incorporating a set of environmental variables known to influence the presence and suitability of Results: The results indicate that Discussion: In this study, we incorporate temperature and precipitation as spatial variables, which were not considered in similar studies in Córdoba City. Our study's results highlight that although demographic and land cover variables prevailed in importance, meteorological variables are also good predictors of spatial distribution of Conclusions: The importance of generating maps and/or models to identify the distribution of mosquito habitats lies in the fact that they can show vulnerable areas and guide stakeholders efforts on public health prevention. Also, they can direct actions to vector control and, consequently, the pathogens they transmit.
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Identifiers
What OpenQuestion holds
Registered trials
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.