scholarly journals Editorial to the Special Issue on Demographic Data Visualization: Getting the point across – Reaching the potential of demographic data visualization

2021 ◽  
Vol 44 ◽  
pp. 865-878
Author(s):  
Tim Riffe ◽  
Nikola Sander ◽  
Sebastian Kluesener
Keyword(s):  
Data Visualization ◽  
Demographic Data ◽  
Special Issue

scholarly journals “Missing/Unspecified”: Demographic Data Visualization During the COVID-19 Pandemic

2020 ◽  
Vol 35 (1) ◽  
pp. 80-87
Author(s):  
Rachel Atherton
Keyword(s):  
Data Visualization ◽  
Science Communication ◽  
Black People ◽  
Demographic Data ◽  
Early Data ◽  
Marginalized Communities ◽  
Using Data ◽  
Data Visualizations

While data 1 has shown that COVID-19 disproportionately affects Black people, the CDC’s early data listed race as “missing/unspecified” at high rates. Incomplete demographic data obscures the virus’s full impact on marginalized communities. Without more information about who the virus is affecting and how, we cannot protect our most vulnerable. This article demonstrates disconnects between reported datasets and data visualizations in public-facing COVID health and science communication and suggests steps that technical and professional communicators can take in creating or using data visualizations accurately and ethically to describe COVID conditions and impacts.

scholarly journals Special issue: Data visualization for decision-making: an important issue

2019 ◽  
Vol 19 (4) ◽  
pp. 853-855 ◽  
Author(s):  
Corentin Burnay ◽  
Fatima Dargam ◽  
Pascale Zarate
Keyword(s):  
Decision Making ◽  
Data Visualization ◽  
Special Issue

scholarly journals Data Visualization for Epidemiological and Demographic Data for Malaria Surveillance in the Brazilian Amazon, 2007-2019

2021 ◽  
Author(s):  
Carlos Eduardo Beluzo ◽  
Natália Martins Arruda ◽  
Vinícius de Souza Maia ◽  
Luciana Correia Alves
Keyword(s):  
Data Visualization ◽  
Data Extraction ◽  
Demographic Data ◽  
Brazilian Amazon ◽  
Health Staff ◽  
Local Policy ◽  
Malaria Surveillance ◽  
Interactive Visualizations ◽  
Surveillance Programs ◽  
Visualization Techniques

Malaria represents one of the main public health problems world wide and continues to be a great challenge to Brazil which concentrates about 34.4% of the disease cases registered in the American continent. Approximately 99% of Malaria cases occur in Amazonia. In 2017, 194,000 cases were recorded. This increase in the number of cases may be a warning of a possible decline in the effectiveness of control and surveillance programs in the region. The objective of this study is to propose the design of interactive visualizations of data related to Malaria Surveillance in the Brazilian Amazon, between the years of 2007-2019. Data came from SIVEPMalaria. We used data visualization techniques to explore epidemiological and demographic aspects of Malaria Surveillance. We hope tools of this kind can reduce the burden of data extraction and analysis on health staff and local policy makers.

Sign in / Sign up

Export Citation Format

Share Document