Dataset Information

Extensive Partnership, Collaboration, and Teamwork is Required to Stop the COVID-19 Outbreak.

ABSTRACT: The COVID-19 outbreak is a disaster now throughout the world. To stop this outbreak, we appeal through the paper for extensive partnership, collaboration and teamwork among the all levels of workers such as scientist, doctors, medical professionals, social workers, policy makers, governments, pharmaceutical firms, funding aid agencies to stop the pandemic immediately.

SUBMITTER: Chakraborty C

PROVIDER: S-EPMC7260497 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Extensive Partnership, Collaboration, and Teamwork is Required to Stop the COVID-19 Outbreak.

Chakraborty Chiranjib C Sharma Ashish Ranjan AR Sharma Garima G Bhattacharya Manojit M Saha Rudra P RP Lee Sang-Soo SS

Archives of medical research 20200530 7

The COVID-19 outbreak is a disaster now throughout the world. To stop this outbreak, we appeal through the paper for extensive partnership, collaboration and teamwork among the all levels of workers such as scientist, doctors, medical professionals, social workers, policy makers, governments, pharmaceutical firms, funding aid agencies to stop the pandemic immediately. ...[more]

PMID: 32532523

Similar Datasets

Project description:Emerging infectious diseases are a growing threat in sub-Saharan African countries, but the human and technical capacity to quickly respond to outbreaks remains limited. Here, we describe the experience and lessons learned from a joint project with the WHO Regional Office for Africa (WHO AFRO) to support the sub-Saharan African COVID-19 response.In June 2020, WHO AFRO contracted a number of consultants to reinforce the COVID-19 response in member states by providing actionable epidemiological analysis. Given the urgency of the situation and the magnitude of work required, we recruited a worldwide network of field experts, academics and students in the areas of public health, data science and social science to support the effort. Most analyses were performed on a merged line list of COVID-19 cases using a reverse engineering model (line listing built using data extracted from national situation reports shared by countries with the Regional Office for Africa as per the IHR (2005) obligations). The data analysis platform The Renku Project ( https://renkulab.io ) provided secure data storage and permitted collaborative coding.Over a period of 6 months, 63 contributors from 32 nations (including 17 African countries) participated in the project. A total of 45 in-depth country-specific epidemiological reports and data quality reports were prepared for 28 countries. Spatial transmission and mortality risk indices were developed for 23 countries. Text and video-based training modules were developed to integrate and mentor new members. The team also began to develop EpiGraph Hub, a web application that automates the generation of reports similar to those we created, and includes more advanced data analyses features (e.g. mathematical models, geospatial analyses) to deliver real-time, actionable results to decision-makers.Within a short period, we implemented a global collaborative approach to health data management and analyses to advance national responses to health emergencies and outbreaks. The interdisciplinary team, the hands-on training and mentoring, and the participation of local researchers were key to the success of this initiative.

Dataset Information

Extensive Partnership, Collaboration, and Teamwork is Required to Stop the COVID-19 Outbreak.

Publications

Extensive Partnership, Collaboration, and Teamwork is Required to Stop the COVID-19 Outbreak.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets