5 research outputs found

    Leveraging human resources for outbreak analysis: lessons from an international collaboration to support the sub-Saharan African COVID-19 response

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    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

    Understanding 'Diversity in Organizations' Paradigmatically and Methodologically

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    This paper is part of a larger dissertation project named: A Production of Diversity: Appearances, Ideas, Interests, Actions, Contradictions and Praxis. In this dissertation project, which is planned to be completed by the first half of 2006, I have attempted to describe, understand and analyse a process of diversity production at a large manufacturing company, which is located in Sweden and owned by a large American company (for the reason of confidentiality the name of the studied company, which is a large, technical-oriented company, has been changed and some of the information is modified, while another cannot be offered because it would expose the company. The studied manufacturing company will from now be called Diversico). My ambition with this paper is to call attention to different paradigmatical and methodological ways of understanding and studying diversity in organizations. A starting-point for my discussion here is an assumption that researchers, by exploring different social phenomena (including diversity in organizations), bring their different sets of assumptions to what the studied phenomenon is (or could be) but also at the same time make assumptions on what organizations are (or could be). In other words, researchers, by studying diversity in organizations (as well as other social phenomena) construct ideas of diversity by positioning this phenomenon differently, asking different questions or designing research projects differently. In that sense I try to actively engage in both showing some benefits and limits in the present literature and searching for new theoretical and methodological possibilities. In that sense, I give some empirical illustrations inspired by one of these other possibilities. More concretely, I show how my study fulfils images of diversity as actively produced and positioned significant issues, and as domination of particular sectional interests. Furthermore I give illustrations of universalization and naturalization of some aspects of diversity, as identified in the studied process of diversity production at the manufacturing company
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