Evidence map›Paper›PMID 34077676›Full record

ArticleVector borne and zoonotic diseases (Larchmont, N.Y.)2021

Characterizing Areas with Increased Burden of West Nile Virus Disease in California, 2009-2018.

Mary E Danforth, Marc Fischer, Robert E Snyder, Nicole P Lindsey, Stacey W Martin, Vicki L Kramer

Abstract read
In one paragraph

Article in Vector borne and zoonotic diseases (Larchmont, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Human antibodies against West Nile and related orthoflaviviruses.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. 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

6 authors.

Mary E DanforthCalifornia Department of Public Health, Sacramento, California, USA.
Marc FischerArboviral Diseases Branch, Centers for Disease Control and Prevention, Fort Collins, Colorado, USA.
Robert E SnyderCalifornia Department of Public Health, Sacramento, California, USA.
Nicole P LindseyArboviral Diseases Branch, Centers for Disease Control and Prevention, Fort Collins, Colorado, USA.
Stacey W MartinArboviral Diseases Branch, Centers for Disease Control and Prevention, Fort Collins, Colorado, USA.
Vicki L KramerCalifornia Department of Public Health, Sacramento, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

West Nile virus (WNV) is a mosquito-borne flavivirus that can cause severe neurological disease in humans, for which there is no treatment or vaccine. From 2009 to 2018, California has reported more human disease cases than any other state in the United States. We sought to identify smaller geographic areas within the 10 California counties with the highest number of WNV cases that accounted for disproportionately large numbers of human cases from 2009 to 2018. Eleven areas, consisting of groups of high-burden ZIP codes, were identified in nine counties within southern California and California's Central Valley. Despite containing only 2% of California's area and 17% of the state's population, these high-burden ZIP codes accounted for 44% of WNV cases reported and had a mean annual incidence that was 2.4 times the annual state incidence. Focusing mosquito control and public education efforts in these areas would lower WNV disease burden.

Indexed as

VaccinesWest Nile FeverWest Nile virusAnimalsCaliforniaIncidenceUnited StatesVaccinesarbovirusCaliforniaepidemiologypublic healthWest Nile virus

Identifiers

PMID34077676
PMCPMC8380797

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.