Fernando A. Poletta

DigitalDashboard: An integrated platform for CUSUM-based early warning and geospatial disease surveillance

M. E. Giordano, J. A. Gili, J. S. López-Camelo, Fernando A. Poletta

DigitalDashboard is an integrated R/Shiny application that combines the CUSUM-RAP and Geospatial-RAP workflows in a single interface. It allows users to upload API-Pop-compatible data, apply shared epidemiological and geographic filters, configure CUSUM parameters, and visualise surveillance outputs through early-warning plots, prevalence maps, …

ar (code pays fourni par la source)

DigitalDashboard: An integrated platform for CUSUM-based early warning and geospatial disease surveillance

M. E. Giordano, J. A. Gili, J. S. López-Camelo, Fernando A. Poletta

DigitalDashboard is an integrated R/Shiny application that combines the CUSUM-RAP and Geospatial-RAP workflows in a single interface. It allows users to upload API-Pop-compatible data, apply shared epidemiological and geographic filters, configure CUSUM parameters, and visualise surveillance outputs through early-warning plots, prevalence maps, …

ar (code pays fourni par la source)

RapidCaseReport

M. E. Giordano, J. A. Gili, J. S. López-Camelo, Fernando A. Poletta

RapidCaseReport is a lightweight R/Shiny tool for rapid, standardized data collection and reporting of suspected cases or health-related rumours. It captures a minimal set of essential variables to support early, local-level surveillance and enables simple CSV exports for downstream analysis.

ar (code pays fourni par la source)

API-Pop: An application programming interface for integrating case reports with population denominators and geographic data

M. E. Giordano, J. A. Gili, J. S. López-Camelo, Fernando A. Poletta

API-Pop is an R/Shiny tool that uses RapidCaseReport exports and adds population context after data collection. It provides flexible filtering (symptoms, onset date, diagnosis, age range, location) and exports filtered case lists and weekly area-based summaries (cases + population) for geospatial analysis, …

ar (code pays fourni par la source)

CUSUM-RAP: An early-warning tool for CUSUM-based outbreak detection in public health surveillance

M. E. Giordano, J. A. Gili, J. S. López-Camelo, Fernando A. Poletta

CUSUM-RAP is an R/Shiny tool for prospective outbreak detection using cumulative sum surveillance methods. It processes weekly epidemiological data by geographic unit, estimates expected frequencies using automatic or user-defined parameters, and generates early-warning outputs including alarm summaries, observed-versus-expected time series, CUSUM process …

ar (code pays fourni par la source)

Geospatial-RAP: A spatial epidemiology tool for prevalence mapping and local cluster detection

M. E. Giordano, J. A. Gili, J. S. López-Camelo, Fernando A. Poletta

Geospatial-RAP is an R/Shiny tool for spatial epidemiological analysis using area-based case and population data. It generates prevalence maps, supports single-week or multi-week time windows, and applies spatial autocorrelation methods to identify geographic patterns, local clusters, and spatial outliers. The tool produces …

ar (code pays fourni par la source)

CUSUM-RAP: An early-warning tool for CUSUM-based outbreak detection in public health surveillance

M. E. Giordano, J. A. Gili, J. S. López-Camelo, Fernando A. Poletta

CUSUM-RAP is an R/Shiny tool for prospective outbreak detection using cumulative sum surveillance methods. It processes weekly epidemiological data by geographic unit, estimates expected frequencies using automatic or user-defined parameters, and generates early-warning outputs including alarm summaries, observed-versus-expected time series, CUSUM process …

ar (code pays fourni par la source)

RapidCaseReport

M. E. Giordano, J. A. Gili, J. S. López-Camelo, Fernando A. Poletta

RapidCaseReport is a lightweight R/Shiny tool for rapid, standardized data collection and reporting of suspected cases or health-related rumours. It captures a minimal set of essential variables to support early, local-level surveillance and enables simple CSV exports for downstream analysis.

ar (code pays fourni par la source)

API-Pop: An application programming interface for integrating case reports with population denominators and geographic data

M. E. Giordano, J. A. Gili, J. S. López-Camelo, Fernando A. Poletta

API-Pop is an R/Shiny tool that uses RapidCaseReport exports and adds population context after data collection. It provides flexible filtering (symptoms, onset date, diagnosis, age range, location) and exports filtered case lists and weekly area-based summaries (cases + population) for geospatial analysis, …

ar (code pays fourni par la source)

Geospatial-RAP: A spatial epidemiology tool for prevalence mapping and local cluster detection

M. E. Giordano, J. A. Gili, J. S. López-Camelo, Fernando A. Poletta

Geospatial-RAP is an R/Shiny tool for spatial epidemiological analysis using area-based case and population data. It generates prevalence maps, supports single-week or multi-week time windows, and applies spatial autocorrelation methods to identify geographic patterns, local clusters, and spatial outliers. The tool produces …

ar (code pays fourni par la source)

Predictive models for graft rejection and infections in renal transplant patients based on TTV viral load

Noelia Reyes, Fernando A. Poletta, Raquel Jara, Natalia Boccia et autres

ar (code pays fourni par la source)

Correction: Neural tube defects: Sex ratio changes after fortification with folic acid

Fernando A. Poletta, Mónica Rittler, César Saleme, Hebe Campaña et autres

[This corrects the article DOI: 10.1371/journal.pone.0193127.].