Evidence map›Paper›PMID 17278401›Full record

ArticlePublic health reports (Washington, D.C. : 1974)

Relating West Nile virus case fatality rates to demographic and surveillance variables.

Julie Tackett, Richard Charnigo, Glyn Caldwell

Open access · greenAbstract read
In one paragraph

Article in Public health reports (Washington, D.C. : 1974). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Environmental drivers of West Nile fever epidemiology in Europe and Western Asia--a review.International journal of environmental research and public health · 2013
    Review
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

3 authors at 2 institutions in 1 country.

Julie TackettDepartment of Environmental Health, University of Cincinnati, Cincinnati, OH, USA.
Richard Charnigo
Glyn Caldwell
University of Kentucky · USUniversity of Cincinnati · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe purpose of this ecological study was to relate West Nile virus (WNV) human case fatality rates to county-level demographic and surveillance variables, thereby characterizing the populations to which WNV poses the greatest threat.

methodsThe authors acquired data on human, avian, and mosquito WNV infections for the 13 states in which there were 100 or more human cases during 2003. The data on avian and mosquito infections were converted into surveillance variables using empirical Bayes methodology. A preliminary logistic regression model was formulated to relate these surveillance variables and demographic variables to case fatality rates. The statistical technique of backward elimination was applied to obtain a final model in terms of the variables most useful for predicting case outcomes.

resultsThe probability of a fatal outcome depends on the poverty rate for the county in which the infected person lives (p = 0.0283), the average temperature (p < 0.0001), and surveillance variables reflecting the fractions of Culex pipiens and Culex restuans mosquitoes among infected mosquitoes (p = 0.0079; p = 0.0076).

conclusionsEffective WNV educational programs and control measures are vital, especially in poverty-stricken areas. A uniform protocol for disseminating county-level data could facilitate timely responses to WNV outbreaks and to emerging infectious diseases more generally.

Indexed as

DemographyPopulation SurveillanceAnimalsBirdsCulicidaeHumansModels, StatisticalPovertyUnited StatesWest Nile FeverWest Nile virus

Identifiers

PMID17278401
PMCPMC1781908
OpenAlexW49075532

What OpenQuestion holds

Textmetadata
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.