Evidence map›Paper›PMID 37295427›Full record

ArticleCurrent biology : CB2023

Dynamics of eastern equine encephalitis virus during the 2019 outbreak in the Northeast United States.

Verity Hill, Robert T Koch, Sean M Bialosuknia, Kiet Ngo, Steven D Zink, Cheri A Koetzner, Joseph G Maffei, Alan P Dupuis, P Bryon Backenson, JoAnne Oliver and 18 more

Open access · bronzeAbstract read
In one paragraph

Article in Current biology : CB, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.1field-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

19 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Eastern Equine Encephalitis Virus: The Importance of Metabolism and Aging.International journal of molecular sciences · 2024
    Review
  16. Review
  17. Article
  18. Article
  19. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

28 authors at 8 institutions in 2 countries.

Verity HillDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06510, USA. Electronic address: verity.hill@yale.edu.
Robert T KochDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06510, USA.
Sean M BialosukniaThe Arbovirus Laboratory, New York State Department of Health, Wadsworth Center, Slingerlands, NY 12159, USA.
Kiet NgoThe Arbovirus Laboratory, New York State Department of Health, Wadsworth Center, Slingerlands, NY 12159, USA.
Steven D ZinkThe Arbovirus Laboratory, New York State Department of Health, Wadsworth Center, Slingerlands, NY 12159, USA.
Cheri A KoetznerThe Arbovirus Laboratory, New York State Department of Health, Wadsworth Center, Slingerlands, NY 12159, USA.
Joseph G MaffeiThe Arbovirus Laboratory, New York State Department of Health, Wadsworth Center, Slingerlands, NY 12159, USA.
Alan P DupuisThe Arbovirus Laboratory, New York State Department of Health, Wadsworth Center, Slingerlands, NY 12159, USA.
P Bryon BackensonNew York State Department of Health, Bureau of Communicable Disease Control, Albany, NY 12237, USA.
JoAnne OliverNew York State Department of Health, Bureau of Communicable Disease Control, Syracuse, NY 13202, USA; Division of Environmental and Renewable Resources, State University of New York at Morrisville - School of Agriculture, Business and Technology, Morrisville, NY 13408, USA.
Angela B BransfieldCenter for Vector Biology and Zoonotic Diseases, Department of Entomology, The Connecticut Agricultural Experiment Station, New Haven, CT 06511, USA.
Michael J MisencikCenter for Vector Biology and Zoonotic Diseases, Department of Entomology, The Connecticut Agricultural Experiment Station, New Haven, CT 06511, USA.
Tanya A PetruffCenter for Vector Biology and Zoonotic Diseases, Department of Entomology, The Connecticut Agricultural Experiment Station, New Haven, CT 06511, USA.
John J ShepardCenter for Vector Biology and Zoonotic Diseases, Department of Entomology, The Connecticut Agricultural Experiment Station, New Haven, CT 06511, USA.
Joshua L WarrenDepartment of Biostatistics, Yale School of Public Health, New Haven, CT 06510, USA; Public Health Modeling Unit, Yale School of Public Health, New Haven, CT 06510, USA.
Mandev S GillDepartment of Statistics, University of Georgia, Athens, GA 30602, USA.
Guy BaeleDepartment of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven BE-3000, Belgium.
Chantal B F VogelsDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06510, USA.
Glen GallagherMassachusetts Department of Public Health, Boston, MA 02108, USA; Rhode Island State Health Laboratory, Rhode Island Department of Health, Providence, RI 02904, USA.
Paul BurnsMassachusetts Department of Public Health, Boston, MA 02108, USA.
Aaron HentoffMassachusetts Department of Public Health, Boston, MA 02108, USA.
Sandra SmoleMassachusetts Department of Public Health, Boston, MA 02108, USA.
Catherine BrownMassachusetts Department of Public Health, Boston, MA 02108, USA.
Matthew OsborneMassachusetts Department of Public Health, Boston, MA 02108, USA.
Laura D KramerThe Arbovirus Laboratory, New York State Department of Health, Wadsworth Center, Slingerlands, NY 12159, USA; Department of Biomedical Sciences, State University of New York at Albany School of Public Health, Albany, NY 12237, USA.
Philip M ArmstrongDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06510, USA; Division of Environmental and Renewable Resources, State University of New York at Morrisville - School of Agriculture, Business and Technology, Morrisville, NY 13408, USA. Electronic address: philip.armstrong@ct.gov.
Alexander T CiotaThe Arbovirus Laboratory, New York State Department of Health, Wadsworth Center, Slingerlands, NY 12159, USA; Department of Biomedical Sciences, State University of New York at Albany School of Public Health, Albany, NY 12237, USA. Electronic address: alexander.ciota@health.ny.gov.
Nathan D GrubaughDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06510, USA; Department of Biostatistics, Yale School of Public Health, New Haven, CT 06510, USA; Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA. Electronic address: nathan.grubaugh@yale.edu.
New York State Department of Health · USMassachusetts Department of Public Health · USYale University · USConnecticut Agricultural Experiment Station · USRega Institute for Medical Research · BERhode Island Department of Health · USSUNY Morrisville · USUniversity of Georgia · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Enhancing dengue virus genomic surveillance to uncover circulating genetic diversityDP2AI176740 · NIAID · YALE UNIVERSITY · PI GRUBAUGH, NATHAN DALE · 2022 to 2025
$2.5M
NCATS NIH HHS UL1 TR001863NCEZID CDC HHS U01 CK000509NIAID NIH HHS DP2 AI176740
6 · The paper itself

Abstract

Eastern equine encephalitis virus (EEEV) causes a rare but severe disease in horses and humans and is maintained in an enzootic transmission cycle between songbirds and Culiseta melanura mosquitoes. In 2019, the largest EEEV outbreak in the United States for more than 50 years occurred, centered in the Northeast. To explore the dynamics of the outbreak, we sequenced 80 isolates of EEEV and combined them with existing genomic data. We found that, similar to previous years, cases were driven by multiple independent but short-lived virus introductions into the Northeast from Florida. Once in the Northeast, we found that Massachusetts was important for regional spread. We found no evidence of any changes in viral, human, or bird factors which would explain the increase in cases in 2019, although the ecology of EEEV is complex and further data is required to explore these in more detail. By using detailed mosquito surveillance data collected by Massachusetts and Connecticut, however, we found that the abundance of Cs. melanura was exceptionally high in 2019, as was the EEEV infection rate. We employed these mosquito data to build a negative binomial regression model and applied it to estimate early season risks of human or horse cases. We found that the month of first detection of EEEV in mosquito surveillance data and vector index (abundance multiplied by infection rate) were predictive of cases later in the season. We therefore highlight the importance of mosquito surveillance programs as an integral part of public health and disease control.

Indexed as

CulicidaeEncephalitis Virus, Eastern EquineEncephalomyelitis, EquineSongbirdsAnimalsDisease OutbreaksHorsesHumansMassachusettsMosquito Vectorseastern equine encephalitismosquito modelingNortheastern USAoutbreak predictionphylodynamicsvirus evolution

Identifiers

PMID37295427
PMCPMC10316540
OpenAlexW4379880427

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.