The Covidguide for Coronavirus apps is free and open-source software that follows the highest standards in data protection, openness, and scientific practice. It incorporates disease-specific containment protocols, diagnostic standards, and WHO containment guidelines. It also features a simple user interface that enables even the most novice clinician to use the apps with confidence.
PNP coda
The PNP CODA is an online platform for public health, which provides a wealth of health information. Its dashboards allow users to view statistics, analyze trends and manage risk. This data is displayed using interactive graphs, calendars and user-friendly interfaces. The PNP CODA website is free to use and widely accessible. It also provides information on how to stay healthy and safe from the coronavirus virus.
The Coronavirus apps and dashboards were developed by SORMAS, a nonprofit organisation dedicated to open source technology and public health. They are designed and produced in accordance with the highest standards of open access, data protection and good scientific practices. In addition, the Coronavirus app module has been designed to meet the needs of a variety of public health users.
The dashboards enable users to see disease trends, share information with partners, and manage patient information. They also allow healthcare providers and researchers to access disease data and use it to plan interventions. The dashboards are user-friendly and can be accessed on a PC or through a Covid account.
Worldometer
The Worldometer Coronavirus apps and their dashboards provide real-time virus data. They are powered by reliable data from government and media houses. The Trends Map feature helps users see infection, death, and disease rates. They also give users an overview of hospitals and ventilators. These tools are especially helpful during a COVID-19 pandemic.
The COVID-19 pandemic dashboard is a great way to monitor how widespread the virus is. It also includes cumulative variables to support analysis. It displays the total number of infections and the number of people exposed to the virus. Users can see how many people are at risk and which countries have had the highest and lowest cases of the disease.
The 91-DIVOC dashboard by Fagen-Ulmschneider is a similar example. It has received more than 80,000 hits, and Kentucky has been using it to inform the public about the latest coronavirus developments. It uses data from the John Hopkins database to provide real-time information on the spread of the coronavirus. The dashboard does not make predictions, but it does provide updates and trend analysis on a country-by-country basis.
WHO response
The World Health Organization (WHO) has published 158 dashboards describing the global response to the COVID-19 pandemic. The sample included dashboards reporting from 53 countries in all six WHO regions. The severity of the pandemic varied considerably between countries. This is summarized in Multimedia Appendix 3.
These dashboards and apps are being used by hospitals, government agencies, and universities to keep track of cases and diagnose patients. They also provide current data on the disease’s spread, which can assist in limiting contact between affected people. The dashboards also provide data visualizations by demographics and neighborhoods. These can be helpful for identifying clusters of neighborhoods with the highest risk for infection.
The WHO developed the digital metadata packages, which facilitate the rapid deployment of COVID-19 data elements and indicators. The packages are aligned with WHO global standards for data collection and analysis. They include case definitions, laboratory testing protocols, and recommended standard indicators, along with a pre-configured template for each data element. The apps can be used for aggregate surveillance, case-based surveillance, and contact-tracing and follow-up.
conclusion
The objective of this study was to assess the effectiveness of Coronavirus apps and their dashboards, using a multi-method approach. We interviewed 80 informants from 33 national COVID-19 dashboard teams, most of whom had just launched their dashboards within the first months of the pandemic. Several common challenges were identified, including high workload, limited human resources, and data and privacy constraints. Participants also highlighted lessons related to people, processes, and data. These included lessons on trust, data and partnership, and change.
