Evidence map›Paper›PMID 32724218›Full record

ArticleScientific reports2020

AeDES: a next-generation monitoring and forecasting system for environmental suitability of Aedes-borne disease transmission.

Á G Muñoz, X Chourio, Ana Rivière-Cinnamond, M A Diuk-Wasser, P A Kache, E A Mordecai, L Harrington, M C Thomson

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.0field-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

16 citing papers in PubMed, 34 citations in OpenAlex.

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  11. The 2022 South America report of TheLancet regional health. Americas · 2023
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  12. Strategies for managing marine disease.Ecological applications : a publication of the Ecological Society of America · 2022
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  14. Health Interventions for Preventing Climate-Sensitive Diseases: Scoping Review.Journal of urban health : bulletin of the New York Academy of Medicine · 2022
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  15. Review
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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

8 authors at 5 institutions in 2 countries.

Á G MuñozInternational Research Institute for Climate and Society (IRI), The Earth Institute at Columbia University, Palisades, New York, NY, 10964, USA. agmunoz@iri.columbia.edu.ORCID http://orcid.org/0000-0002-2212-6654
X ChourioInternational Research Institute for Climate and Society (IRI), The Earth Institute at Columbia University, Palisades, New York, NY, 10964, USA.
Ana Rivière-CinnamondPan-American Health Organization (PAHO), World Health Organization (WHO), Washington, DC, USA.
M A Diuk-WasserDepartment of Ecology, Evolution and Environmental Biology, Columbia University, New York, NY, 10027, USA.
P A KacheDepartment of Ecology, Evolution and Environmental Biology, Columbia University, New York, NY, 10027, USA.
E A MordecaiBiology Department, Stanford University, Stanford, CA, 94305, USA.ORCID http://orcid.org/0000-0002-4402-5547
L HarringtonDepartment of Entomology, Cornell University, Ithaca, NY, 14853, USA.ORCID http://orcid.org/0000-0002-2143-2051
M C ThomsonInternational Research Institute for Climate and Society (IRI), The Earth Institute at Columbia University, Palisades, New York, NY, 10964, USA.
Columbia University · USCornell University · USEarth Island Institute · USStanford University · USWorld Health Organization Regional Office for the Americas · US

Funding

Leveraging environmental drivers to predict vector-borne disease transmissionR35GM133439 · NIGMS · STANFORD UNIVERSITY · PI Erin Mordecai · 2019 to 2026
$3.2M
NCEZID CDC HHS U01 CK000509NIGMS NIH HHS R35 GM133439NIH HHS 1R35GM133439-01World Health Organization 001
6 · The paper itself

Abstract

Aedes-borne diseases, such as dengue and chikungunya, are responsible for more than 50 million infections worldwide every year, with an overall increase of 30-fold in the last 50 years, mainly due to city population growth, more frequent travels and ecological changes. In the United States of America, the vast majority of Aedes-borne infections are imported from endemic regions by travelers, who can become new sources of mosquito infection upon their return home if the exposed population is susceptible to the disease, and if suitable environmental conditions for the mosquitoes and the virus are present. Since the susceptibility of the human population can be determined via periodic monitoring campaigns, the environmental suitability for the presence of mosquitoes and viruses becomes one of the most important pieces of information for decision makers in the health sector. We present a next-generation monitoring and forecasting system for [Formula: see text]-borne diseases' environmental suitability (AeDES) of transmission in the conterminous United States and transboundary regions, using calibrated ento-epidemiological models, climate models and temperature observations. After analyzing the seasonal predictive skill of AeDES, we briefly consider the recent Zika epidemic, and the compound effects of the current Central American dengue outbreak happening during the SARS-CoV-2 pandemic, to illustrate how a combination of tailored deterministic and probabilistic forecasts can inform key prevention and control strategies .

Indexed as

Epidemiological MonitoringAedesAnimalsBetacoronavirusClimateCoronavirus InfectionsCOVID-19Databases, FactualDecision MakingHumansMosquito VectorsPandemicsPneumonia, ViralSARS-CoV-2Vector Borne Diseases

Identifiers

PMID32724218
PMCPMC7387552
OpenAlexW3045789744

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.