Evidence map›Paper›PMID 38267474›Full record

ArticleScientific reports2024

Defining the roles of local precipitation and anthropogenic water sources in driving the abundance of Aedes aegypti, an emerging disease vector in urban, arid landscapes.

Erica A Newman, Xiao Feng, Jesse D Onland, Kathleen R Walker, Steven Young, Kirk Smith, John Townsend, Dan Damian, Kacey Ernst

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
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

9 authors.

Erica A NewmanDepartment of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, 85721, USA. erica.newman@austin.utexas.edu.
Xiao FengDepartment of Biology, University of North Carolina, Chapel Hill, NC, 27599, USA.
Jesse D OnlandIndependent Analyst, Kitchener, ON, Canada.
Kathleen R WalkerDepartment of Entomology, University of Arizona, 1140 E South Campus Drive, Forbes 410, Tucson, AZ, 85721, USA.
Steven YoungMaricopa County Environmental Services Vector Control Division, 3220 W Gibson Ln, Phoenix, AZ, 85009, USA.
Kirk SmithMaricopa County Environmental Services Vector Control Division, 3220 W Gibson Ln, Phoenix, AZ, 85009, USA.
John TownsendMaricopa County Environmental Services Vector Control Division, 3220 W Gibson Ln, Phoenix, AZ, 85009, USA.
Dan DamianMaricopa County Office of Enterprise Technology, 301 S 4Th Ave #200, Phoenix, AZ, 85003, USA.
Kacey ErnstMel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, 85721, USA.

Funding

SOUTHWEST ENVIRONMENTAL HEALTH SCIENCES CENTERP30ES006694 · NIEHS · UNIVERSITY OF ARIZONA · PI DEAN BILLHEIMER · 1994 to 2026
$36.7M
NIEHS NIH HHS P30 ES006694
6 · The paper itself

Abstract

Understanding drivers of disease vectors' population dynamics is a pressing challenge. For short-lived organisms like mosquitoes, landscape-scale models must account for their highly local and rapid life cycles. Aedes aegypti, a vector of multiple emerging diseases, has become abundant in desert population centers where water from precipitation could be a limiting factor. To explain this apparent paradox, we examined Ae. aegypti abundances at > 660 trapping locations per year for 3 years in the urbanized Maricopa County (metropolitan Phoenix), Arizona, USA. We created daily precipitation layers from weather station data using a kriging algorithm, and connected localized daily precipitation to numbers of mosquitoes trapped at each location on subsequent days. Precipitation events occurring in either of two critical developmental periods for mosquitoes were correlated to suppressed subsequent adult female presence and abundance. LASSO models supported these analyses for female presence but not abundance. Precipitation may explain 72% of Ae. aegypti presence and 90% of abundance, with anthropogenic water sources supporting mosquitoes during long, precipitation-free periods. The method of using kriging and weather station data may be generally applicable to the study of various ecological processes and patterns, and lead to insights into microclimates associated with a variety of organisms' life cycles.

Indexed as

AedesAlgorithmsAnimalsDisease VectorsFemaleMosquito VectorsWaterWater

Identifiers

PMID38267474
PMCPMC10808563

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.