PICTUREE-Aedes: A Web Application for Dengue Data Visualization and Case Prediction.

Chunlin Yi, Aram Vajdi, Tanvir Ferdousi, Lee W Cohnstaedt, Caterina Scoglio

Abstract read

In one paragraph

Article in Pathogens (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

A real-time forecasting and estimating system of West Nile virus: a case study of the 2023 WNV outbreak in Colorado, USA.Royal Society open science · 2024
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

5 authors.

Chunlin YiDepartment of Electrical and Computer Engineering, College of Engineering, Kansas State University, Manhattan, KS 66506, USA.ORCID 0000-0002-1050-9770

Aram VajdiDepartment of Electrical and Computer Engineering, College of Engineering, Kansas State University, Manhattan, KS 66506, USA.

Tanvir FerdousiDepartment of Electrical and Computer Engineering, College of Engineering, Kansas State University, Manhattan, KS 66506, USA.ORCID 0000-0003-2847-3494

Lee W CohnstaedtNational Bio- and Agro-Defense Facility, Agricultural Research Service, United States Department of Agriculture, Manhattan, KS 66502, USA.

Caterina ScoglioDepartment of Electrical and Computer Engineering, College of Engineering, Kansas State University, Manhattan, KS 66506, USA.ORCID 0000-0003-4486-9229

Funding

Department of the Army, U.S. Army Contracting Command, Aberdeen Proving Ground, Natick Contracting Division, Fort Detrick W911QY-19-1-0004

6 · The paper itself

Abstract

Dengue fever remains a significant public health concern in many tropical and subtropical countries, and there is still a need for a system that can effectively combine global risk assessment with timely incidence forecasting. This research describes an integrated application called PICTUREE-Aedes, which can collect and analyze dengue-related data, display simulation results, and forecast outbreak incidence. PICTUREE-Aedes automatically updates global temperature and precipitation data and contains historical records of dengue incidence (1960-2012) and

Indexed as

dengue incidence forecastsdengue risk estimationdengue transmissionmosquito population estimationweb application

Identifiers

PMID37375461

DOI10.3390/pathogens12060771

PMCPMC10301560

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.