For the first Pandemics & Society Seminar of our Spring 2024 series, we are pleased to welcome Nita Bharti (Penn State). The seminar will be held on Thursday, 22 February at the normal time (1600 CET). More information about our speaker and the presentation is below. You can sign up for email notifications about the seminar series, including the Zoom details, here.
As global health emphasizes data-driven approaches to improve health equity, it is increasingly important to assess the quality and representativeness of data that are used in decision making. We measured the inclusion of health vulnerable populations in mobile phone data, which are used to measure mobility, access to health care, and potential pathogen transmission. We find that the representation of health vulnerable populations in these data is both low and biased in ways that would magnify, rather than reduce, health inequities. We discuss strategies for detecting and overcoming data biases due to exclusion.
About the Speaker
Nita Bharti is Huck Early Career Professor and Associate Professor of Biology at the Huck Institutes of the Life Sciences at Penn State University. Her research lab investigates the underlying links between humans, pathogens, and the environment.
We are pleased to release the schedule for our Spring 2024 seminar series. As in previous series, the seminar will be held via Zoom at 16.00 Central European Time on Thursdays.
To access the Zoom meetings, please join our mailing list here.
8 February Association of Severe COVID-19 and Persistent COVID-19 Symptoms With Economic Hardship Among US Families Nicole Hair, University of South Carolina
22 February Navigating gaps and biases in surveillance data Nita Bharti, Penn State University
29 February Title To Be Announced Thomas Finnie, UK Health Security Agency
7 March The Economic Impact of the Black Death in England, 1350 to 1400 Mark Bailey, University of East Anglia
14 March Racialized Epidemiologies: The Case of Black Americans During the Great Influenza, 1918–1920 Paul Skaebe, Universität Leipzig
4 April Long COVID and Labor Force Participation in the United States Katie Bach, Brookings Institution **Note that Central European Summer Time begins on 31 March**
18 April “We are not afraid but only like to take precautions”: Popular understandings of contagion during the 1918-19 influenza pandemic and their impacts on flu prevention measures in Southern California Islay Shelbourne, University of St Andrews
2 May Socioeconomic mortality differences during the Great Influenza in Spain Sergio Basco, Universitat Autònoma Barcelona
23 May Forgotten Pandemic? Revisiting the “Spanish” Influenza on the First World War’s Macedonian Front Christos Konstantopoulos, McGill University
For the final Pandemics & Society Seminar of our Fall 2023 series, we are pleased to welcome Kristina Thompson (Wageningen University). The seminar will be held on Thursday, 30 November at the normal time (1600 CET). More information about our speaker and the presentation is below. You can sign up for email notifications about the seminar series, including the Zoom details, here.
To better prepare for future pandemics, revisiting lessons from the COVID-19 period may be useful. Doing so may help to identify the trade-offs of different containment and mitigation measures. While non-pharmaceutical interventions, particularly lockdowns, helped to slow the spread of COVID-19, they were not without negative consequences of their own. A large body of evidence has shown that depressive disorder, or depression, rose markedly during these periods. This is problematic, as depression is one of the leading causes of disability worldwide. Despite the large number of studies on the topic, these studies are largely based on statistical models, rather than computational ones. This prevents us from comparing actual and hypothetical scenarios, and limits our ability to tease out the elements of lockdowns that may have impacted depression. To that end, a microsimulation model was developed, named COMMA (COvid Mental-health Model with Agents). Microsimulation models are well-suited to exploring policy impacts on specific population sub-groups.
Individuals’ characteristics and actions during lockdowns were based on the Lifelines cohort, a representative sample of the northern Netherlands. Data from the largest city in this sample, Groningen, were used (n=5,193). Information on individual characteristics (e.g. gender, age) was taken from waves prior to the COVID-19 pandemic. Information on actions during the pandemic (e.g. working from home, maintaining physical distance) was taken from periodic COVID-19-specific questionnaires. Daily COVID-19 case information for the city of Groningen was used from the National Institute for Public Health and Environment (in Dutch: Rijksinstituut voor Volksgezondheid en Milieu). In COMMA, the probability that an individual is at increased risk of depression is estimated in several steps. First, from a matrix of ten agent characteristics, the probability of taking one of ten actions during different types of lockdowns is derived. Second, from a matrix of ten actions an individual could take during absent, partial or full lockdowns, the probability of being depressed is derived. Based on a simulation with 6,000 individuals set between 2 February 2021 and 4 February 2022, hard lockdowns in particular were associated with an increased risk of depression. In a simulation with a hard lockdown for this entire period, 75% of individuals were at increased risk of depression. In a simulation with a hard lockdown followed by a light lockdown, only 2% of individuals were at increased risk of depression. We found evidence that the severity and duration of lockdowns mattered. The negative impacts of hard lockdowns on mental health may be largely buffered by periods of fewer restrictions. These findings may be important to consider when considering future pandemic mitigation policies.
About the Speaker
Kristina Thompson is an assistant professor in the Health & Society group of Wageningen University & Research, the Netherlands. She quantitatively examines the social determinants of health. More specifically, she studies how social and economic factors across the life course may impact health and mortality. Her projects often employ complexity science approaches and computational modelling.
For the penultimate Pandemics & Society Seminar of our Fall 2023 series, we are pleased to welcome Lauren Steele (University of Queensland). The seminar will be held on Thursday, 9 November at the normal time (1600 CET). More information about our speaker and the presentation is below. You can sign up for email notifications about the seminar series, including the Zoom details, here.
During the 1918 influenza pandemic, individuals aged ~15-40 years of age were more susceptible to severe disease and death. Similar age patterns have been recorded during the 1957 and 1968 influenza pandemics, however no geographically wide-scale age curves have ever been calculated for these pandemics. Data from at least five countries will be analysed to construct age curves to identify age-related mortality during the influenza pandemics of the 20th century. Data will be collected from vital statistics and the Human Mortality Database. To further elucidate the role of age in influenza disease outcomes during pandemics, lungs taken from young adults (aged 17-30 years) who died of influenza-like illnesses during pandemic years will be analysed using a spatial transcriptomics assay to determine gene expression at the moment of death. These data will inform on why younger age groups are uniquely susceptible to severe disease during influenza pandemics.
About the Speaker
Lauren Steele is a second-year PhD candidate at the University of Queensland, Australia. She is completing her thesis on host factors which influence disease outcomes during past influenza pandemics to inform on future influenza pandemic preparedness measures.
For the seventh Pandemics & Society Seminar of our Fall 2023 series, we are pleased to welcome Dr Natalie Bennett (Newcastle University). The seminar will be held on Thursday, 2 November at the normal time (1600 CET). For attendees outside of Europe, please note that daylight savings time has ended. More information about our speaker and the presentation is below. You can sign up for email notifications about the seminar series, including the Zoom details, here.
The effectiveness of vaccination against severe COVID-19 infection and mortality is well documented, but there are inequalities in both vaccination uptake and COVID-19 mortality. Understanding whether more equal vaccination uptake might reduce socioeconomic inequalities in COVID-19 mortality is necessary for planning for future pandemics. Limited evidence available suggests that COVID-19 vaccination may have reduced inequalities in mortality. However, existing studies typically employ data covering a short time series and do not explicitly model inequalities. Using national data from the first recorded deaths through to December 2022, this study investigates whether the national vaccination program in England reduced inequalities in COVID-19 mortality associated with area-level deprivation. Descriptive analyses demonstrated that, though vaccination uptake was generally high, there was a widening gap between the most and least deprived areas in England in uptake by dose. New mortality inequality gradually declined as vaccination uptake and doses increased, and remained low throughout 2022. However, cumulative mortality inequalities rapidly grew from the start of the pandemic continued to grow throughout the entire period of observation. We estimate that more equitable vaccine uptake may have reduced, but not eradicated deprivation-based inequalities. We argue that preparation for future pandemics should include a comprehensive strategy for minimising deprivation-based inequalities.
About the Speaker
Dr Natalie Bennett is an Inequalities Research Fellow in the Applied Research Collaboration for the North East and North Cumbria at Newcastle University, England. Natalie is a Social Epidemiologist and works across a variety of interdisciplinary health inequalities projects. Her primary area of research is that of geographical inequalities in health and much of her more recent work has been in applying this focus to the COVID-19 pandemic.
For the sixth Pandemics & Society Seminar of our Fall 2023 series, we are pleased to welcome our colleague Uddhav Khakurel (PANSOC). The seminar will be held on Thursday, 19 October at the normal time (1600 CEST). More information about our speaker and the presentation is below. You can sign up for email notifications about the seminar series, including the Zoom details, here.
Labrador, part of the British Empire at the time but under the control of the Dominion Government of Newfoundland, was one of the most severely affected regions in the world during the 1918 influenza pandemic, with mortality ranging from 1 to 78 percent within communities. During the time of the pandemic, healthcare needs in the southern two-thirds of Labrador were provided by the Grenfell Mission, led by Dr. Wilfred Grenfell. This study explores the role played by the Grenfell Mission during the 1918 influenza pandemic. In addition, this analysis seeks to deepen our understanding of the factors that influenced the Mission’s response during the pandemic. This study was conducted using archival and secondary sources. Historical archives were collected from the digital archives of the Memorial University of Newfoundland and Yale University between the period of 1918 to 1959. Our findings suggest that despite the long presence of the Grenfell Mission from 1893 in Labrador, it faced a formidable challenge in providing health care during the influenza pandemic. The Mission had only one doctor and two nurses for 800 square miles. Their work in Labrador was further constrained by geographical isolation, weather conditions, shortage of healthcare workers, and its relationship with the Newfoundland Government. These factors help to explain the high level of heterogeneity in mortality within communities in Labrador.
About the Speaker
Uddhav Khakurel is a master’s student at Oslo Metropolitan University and is currently working as a research assistant at the Center for Research on Pandemics & Society. He has a background in public/global health. For his master’s thesis, he is looking at the role of non-pharmaceutical interventions in the 1918 influenza pandemic in Alaska. He is particularly interested in understanding the roles played by different actors in response to the disease outbreak.