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Integrating Migration into Health Interventions: A Toolkit for International Cooperation and Development Actors

The Toolkit is part of a series of tools developed under the Mainstreaming Migration into International Cooperation and Development (MMICD) project funded by the EU. The aim of this Toolkit is to provide concise, operational, and user-friendly information and tools to help international cooperation and development actors to integrate migration into Health Interventions. It was developed in partnership with the World Health Organization (WHO), UN AIDS, and the International Labour Organization (ILO).

Human mobility and coronavirus disease 2019 (COVID-19): a negative binomial regression analysis

Objectives: This study aimed to examine the link between human mobility and the number of coronavirus disease 2019 (COVID-19)–infected people in countries. Study design: Our data set covers 144 countries for which complete data are available. To analyze the link between human mobility and COVID-19–infected people, our study focused on the volume of air travel, the number of airports, and the Schengen system. Methods: To analyze the variation in COVID-19–infected people in countries, we used negative binomial regression analysis.

Study of a SARS-CoV-2 Outbreak in a Belgian Military Education and Training Center in Maradi, Niger

Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) compromises the ability of military forces to fulfill missions. At the beginning of May 2020, 22 out of 70 Belgian soldiers deployed to a military education and training center in Maradi, Niger, developed mild COVID-19 compatible symptoms. Immediately upon their return to Belgium, and two weeks later, all seventy soldiers were tested for SARS-CoV-2 RNA (RT-qPCR) and antibodies (two immunoassays). Nine soldiers had at least one positive COVID-19 diagnostic test result.

Repurposing existing traffic data sources for COVID-19 crisis management

Mobility behavior was impacted severely by the COVID-19 health crisis. To understand the changing situation, crisis managers need access to credible and timely data. In this paper, we look at the potential of traffic management data for crisis management. We list the different categories and types of traffic data sources and provide an overview of how policymakers, research institutions and private companies can repurpose their data to monitor the effect of the crisis and the accompanying lockdown measures on mobility behavior.

Health equity and COVID-19: Global perspectives

The COVID-19 is disproportionally affecting the poor, minorities and a broad range of vulnerable populations, due to its inequitable spread in areas of dense population and limited mitigation capacity due to high prevalence of chronic conditions or poor access to high quality public health and medical care. Moreover, the collateral effects of the pandemic due to the global economic downturn, and social isolation and movement restriction measures, are unequally affecting those in the lowest power strata of societies.

Gender, Mobility, and Covid-19: the Case of Belgium

Studies have shown that women are disadvantaged when facing infectious disease outbreaks. This study uses descriptive data analysis, causality, and VAR modeling to verify this hypothesis in the case of COVID-19 in Belgium in relation to people’s mobility. The results confirm this women’s disadvantage hypothesis, in particular among the working-age population in Belgium. This disadvantage is explained by women’s greater mobility during the pandemic.