Evidence map›Paper›PMID 33300663›Full record

ArticleEcology letters2021

Susceptible host availability modulates climate effects on dengue dynamics.

Nicole Nova, Ethan R Deyle, Marta S Shocket, Andrew J MacDonald, Marissa L Childs, Martin Rypdal, George Sugihara, Erin A Mordecai

Open access · greenAbstract read
In one paragraph

Article in Ecology letters, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 8% 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, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Climate warming is expanding dengue burden in the Americas and Asia.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Revealing unseen dynamical regimes of ecosystems from population time-series data.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Climate warming is expanding dengue burden in the Americas and Asia.medRxiv : the preprint server for health sciences · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Dryland sensitivity to climate change and variability using nonlinear dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  13. Article
  14. Global Change and Emerging Infectious Diseases.Annual review of resource economics · 2022
    Article
  15. Article
  16. 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

8 authors at 6 institutions in 2 countries.

Nicole NovaDepartment of Biology, Stanford University, Stanford, CA, USA.ORCID https://orcid.org/0000-0001-8585-1215
Ethan R DeyleScripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA.ORCID https://orcid.org/0000-0001-8704-8434
Marta S ShocketDepartment of Biology, Stanford University, Stanford, CA, USA.ORCID https://orcid.org/0000-0002-8995-4446
Andrew J MacDonaldDepartment of Biology, Stanford University, Stanford, CA, USA.ORCID https://orcid.org/0000-0003-0172-7749
Marissa L ChildsEmmett Interdisciplinary Program in Environment and Resources, Stanford University, Stanford, CA, USA.ORCID https://orcid.org/0000-0002-8597-2161
Martin RypdalDepartment of Mathematics and Statistics, UiT The Arctic University of Norway, Tromsø, Norway.ORCID https://orcid.org/0000-0003-0053-665X
George SugiharaScripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA.ORCID https://orcid.org/0000-0002-2863-6946
Erin A MordecaiDepartment of Biology, Stanford University, Stanford, CA, USA.ORCID https://orcid.org/0000-0002-4402-5547
Stanford University · USBoston University · USScripps Institution of Oceanography · USUiT The Arctic University of Norway · NOUniversity of California, Los Angeles · USUniversity of California, Santa Barbara · US

Funding

Leveraging environmental drivers to predict vector-borne disease transmissionR35GM133439 · NIGMS · STANFORD UNIVERSITY · PI Erin Mordecai · 2019 to 2026
$3.2M
Hellman Foundation: Hellman Faculty FellowshipLenfest Foundation 00028335National Science Foundation DBI-1611767National Science Foundation DBI-1667584National Science Foundation DEB-1518681National Science Foundation DEB-1655203National Science Foundation DEB-2011147National Science Foundation RAPID DEB-1640780NIGMS NIH HHS R35 GM133439NIH HHS R35GM133439Stanford University: Bing Fellowship in Honor of Paul Ehrlich, Stanford Data Science Scholars program, Lindsay Family E-IPER Fellowship, Illich-Sadowsky Interdisciplinary Graduate Fellowship, Terman Fellowship, King Center for Global Development seed grantStanford Woods Institute for the Environment: Environmental Ventures ProgramUniversity of California San Diego: McQuown Chair in Natural SciencesU.S. Department of Defense SERDP 15 RC-2509
6 · The paper itself

Abstract

Experiments and models suggest that climate affects mosquito-borne disease transmission. However, disease transmission involves complex nonlinear interactions between climate and population dynamics, which makes detecting climate drivers at the population level challenging. By analysing incidence data, estimated susceptible population size, and climate data with methods based on nonlinear time series analysis (collectively referred to as empirical dynamic modelling), we identified drivers and their interactive effects on dengue dynamics in San Juan, Puerto Rico. Climatic forcing arose only when susceptible availability was high: temperature and rainfall had net positive and negative effects respectively. By capturing mechanistic, nonlinear and context-dependent effects of population susceptibility, temperature and rainfall on dengue transmission empirically, our model improves forecast skill over recent, state-of-the-art models for dengue incidence. Together, these results provide empirical evidence that the interdependence of host population susceptibility and climate drives dengue dynamics in a nonlinear and complex, yet predictable way.

Indexed as

DengueAnimalsDisease SusceptibilityPopulation DynamicsPuerto RicoTemperatureArbovirusclimatedengueempirical dynamic modellingforecastingrainfallsusceptible population sizetemperaturevector-borne disease

Identifiers

PMID33300663
PMCPMC7880875
OpenAlexW3112168089

What OpenQuestion holds

Textmetadata
LicenceTDM
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.