Evidence map›Paper›PMID 24755954›Full record

ArticlePloS one2014

An environmental data set for vector-borne disease modeling and epidemiology.

Guillaume Chabot-Couture, Karima Nigmatulina, Philip Eckhoff

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  11. Modelling Anopheles gambiae s.s. Population Dynamics with Temperature- and Age-Dependent Survival.International journal of environmental research and public health · 2015
    Article
  12. Climate, environmental and socio-economic change: weighing up the balance in vector-borne disease transmission.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2015
    Review
  13. Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

3 authors.

Guillaume Chabot-CoutureInstitute for Disease Modeling, Intellectual Ventures, Bellevue, Washington, United States of America.
Karima NigmatulinaInstitute for Disease Modeling, Intellectual Ventures, Bellevue, Washington, United States of America.
Philip EckhoffInstitute for Disease Modeling, Intellectual Ventures, Bellevue, Washington, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the environmental conditions of disease transmission is important in the study of vector-borne diseases. Low- and middle-income countries bear a significant portion of the disease burden; but data about weather conditions in those countries can be sparse and difficult to reconstruct. Here, we describe methods to assemble high-resolution gridded time series data sets of air temperature, relative humidity, land temperature, and rainfall for such areas; and we test these methods on the island of Madagascar. Air temperature and relative humidity were constructed using statistical interpolation of weather station measurements; the resulting median 95th percentile absolute errors were 2.75°C and 16.6%. Missing pixels from the MODIS11 remote sensing land temperature product were estimated using Fourier decomposition and time-series analysis; thus providing an alternative to the 8-day and 30-day aggregated products. The RFE 2.0 remote sensing rainfall estimator was characterized by comparing it with multiple interpolated rainfall products, and we observed significant differences in temporal and spatial heterogeneity relevant to vector-borne disease modeling.

Indexed as

Databases as TopicDisease VectorsEnvironmentModels, BiologicalAnimalsCommunicable DiseasesHumidityMadagascarRainTemperatureTime FactorsWeather

Identifiers

PMID24755954
PMCPMC3995884

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.