Evidence map›Paper›PMID 32693720›Full record

ArticleProceedings. Biological sciences2020

Age influences the thermal suitability of

K L Miazgowicz, M S Shocket, S J Ryan, O C Villena, R J Hall, J Owen, T Adanlawo, K Balaji, L R Johnson, E A Mordecai and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Proceedings. Biological sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.8field-weighted citation impact, top 6% of its field
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

20 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
  2. Humidity shapes the thermal niche ofbioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
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  15. Article
  16. Frontiers in physiology · 2022
    Article
  17. Histamine Ingestion byBiomolecules · 2021
    Article
  18. Article
  19. Review
  20. Age influences the thermal suitability ofProceedings. Biological sciences · 2020
    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

11 authors at 5 institutions in 2 countries.

K L MiazgowiczDepartment of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA, USA.
M S ShocketBiology Department, Stanford University, Stanford, CA, USA.
S J RyanQuantitative Disease Ecology and Conservation (QDEC) Lab, Department of Geography, University of Florida, Gainesville, FL, USA.
O C VillenaComputational Modeling and Data Analytics, Department of Statistics, Virginia Tech, Blacksburg, VA, USA.
R J HallDepartment of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA, USA.
J OwenDepartment of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA, USA.
T AdanlawoOdum School of Ecology, University of Georgia, Athens, GA, USA.
K BalajiDepartment of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA, USA.
L R JohnsonComputational Modeling and Data Analytics, Department of Statistics, Virginia Tech, Blacksburg, VA, USA.
E A MordecaiBiology Department, Stanford University, Stanford, CA, USA.
C C MurdockDepartment of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA, USA.
University of Georgia · USVirginia Tech · USStanford University · USUniversity of California, Los Angeles · USUniversity of Florida · US

Funding

Leveraging environmental drivers to predict vector-borne disease transmissionR35GM133439 · NIGMS · STANFORD UNIVERSITY · PI Erin Mordecai · 2019 to 2026
$3.2M
Influence of temperature on malaria transmission and prospective vector controlR01AI110793 · NIAID · PENNSYLVANIA STATE UNIVERSITY, THE · PI THOMAS, MATTHEW B · 2015 to 2018
$2.0M
NIAID NIH HHS R01 AI110793NIGMS NIH HHS R35 GM133439
6 · The paper itself

Abstract

Models predicting disease transmission are vital tools for long-term planning of malaria reduction efforts, particularly for mitigating impacts of climate change. We compared temperature-dependent malaria transmission models when mosquito life-history traits were estimated from a truncated portion of the lifespan (a common practice) versus traits measured across the full lifespan. We conducted an experiment on adult female

Indexed as

Plasmodium falciparumAge FactorsAnimalsAnophelesFemaleMalariaMalaria, FalciparumMosquito VectorsTemperatureAnopheleslife historymalariasenescencetemperaturetransmission

Identifiers

PMID32693720
PMCPMC7423674
OpenAlexW3044240219

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.