Follow *the* science? On the marginal role of the social sciences in the COVID-19 pandemic

Seeing together: Lessons from the COVID-19 pandemic on understanding evidence

Conversations about evidence have become much more personal and more divisive over the course of the COVID-19 pandemic. Using a metaphor to carefully consider all the different aspects of "seeing" evidence can remind us that assembling a complete picture of information on any topic is necessarily a communal effort, made more robust by actively seeking to learn about and mitigate our blind spots. An approach to evidence that is curious, humble, and seeks relationship and partnership with others can help us see more clearly and completely.

"Follow the Science" in COVID-19 Policy: A Scoping Review

"Follow the science" was commonly repeated during debates on COVID-19-related policy. The phrase "follow the science" raises questions that are central to our theories of knowledge and the application of scientific knowledge to maximize the wellbeing of our society. The purpose of this study was to (1) perform a scoping review of literature discussing "follow the science" and COVID-19, and (2) consider "follow the science" in the context of pediatric health. A comprehensive search of 14 databases was performed on May 23, 2023. Articles were included if they used terms such as "follow the science", "follow the scientists", "listen to science" or "listen to scientists", and discussed COVID-19. There were 24 articles included in the final review. Existing literature on "follow the science" (1) differentiates between scientific knowledge and policy decisions; (2) emphasizes the importance of social sciences in policy making; (3) calls for more transparency in the knowledge synthesis and policy generating process; and (4) finds that scientific advisors see their role as advising on science rather than policy decision making. There was no definitional, epistemological, or philosophical intellectual defense of "follow the science" in the peer reviewed literature. Policy requires (1) reliable data and (2) agreement on what to do considering those empirical facts by appealing to values, ethics, morality, and law. A review of school shutdowns is used as an example of the inadequacy of "follow the science" as a guiding principle for public policy.

Evidence of mechanisms in evidence-based policy

Evidence-based policy has achieved great relevance in policy-making and social research. Nonetheless, over the past few years, several problematic aspects of this approach have been identified. This paper discusses whether, and to what extent, evidence of mechanisms could contribute to addressing certain difficulties faced by evidence-based policy. I argue that it could play a crucial role in the assessment of the efficacy of interventions, the extrapolation of interventions to target populations, and the identification of side effects. For analysing the potential contribution of evidence of mechanisms, the previous debate on the pluralist approach to evidence-based medicine is taken as reference.

ECRIN - CESSDA strategies for cross metadata mappings in selected areas between life sciences and social sciences and humanities

Background: The recent COVID-19 pandemic dramatically underlined the multi-faceted nature of health research, requiring input from basic biological sciences, pharmaceutical technologies, clinical research), social sciences and public health and social engineering. Systems that could work across different disciplines would therefore seem to be a useful idea to explore. In this study we investigated whether metadata schemas and vocabularies used for discovering scientific studies and resources in the social sciences and humanities and in clinical research are similar enough to allow information from different source disciplines to be easily retrieved and presented together. Methods: As a first step a literature search was performed, exemplarily identifying studies and resources, in which data from social sciences and the humanities have been usefully employed or integrated with that from clinical research and clinical trials. In a second step a comparison of metadata schemas and related resource catalogues in ECRIN (European Clinical Research Infrastructure Network) and CESSDA (Consortium of European Social Science Data Archives) was performed. The focus was on discovery metadata, here defined as the metadata elements used to identify and locate scientific resources. Results: A close view at the metadata schemas of CESSDA and ECRIN and the basic discovery metadata as well as a crosswalk between ECRIN and CESSDA metadata schemas have shown that there is considerable resemblance between them. Conclusions: The resemblance could serve as a promising starting point to implement a common search mechanism for ECRIN and CESSDA metadata. In the paper four different options for how to proceed with implementation issues are presented.

To vaccinate or to isolate? Establishing which intervention leads to measurable mortality reduction during the COVID-19 Delta wave in Poland

Background

During the Delta variant COVID-19 wave in Poland there were serious regional differences in vaccination rates and discrepancies in the enforcement of pandemic preventive measures, which allowed us to assess the relative effectiveness of the policies implemented.

Methods

Creating a model that would predict mortality based on vaccination rates among the most vulnerable groups and the timing of the wave peak enabled us to calculate to what extent flattening the curve reduced mortality. Subsequently, a model was created to assess which preventive measures delayed the peak of infection waves. Combining those two models allowed us to estimate the relative effectiveness of those measures.

Results

Flattening the infection curve worked: according to our model, each week of postponing the peak of the wave reduced excess deaths by 1.79%. Saving a single life during the Delta wave required one of the following: either the vaccination of 57 high-risk people, or 1,258 low-risk people to build herd immunity, or the isolation of 334 infected individuals for a cumulative period of 10.1 years, or finally quarantining 782 contacts for a cumulative period of 19.3 years.

Conclusions

Except for the most disciplined societies, vaccination of high-risk individuals followed by vaccinating low-risk groups should have been the top priority instead of relying on isolation and quarantine measures which can incur disproportionately higher social costs. Our study demonstrates that even in a country with uniform policies, implementation outcomes varied, highlighting the importance of fine-tuning policies to regional specificity.

Living with COVID-19 and preparing for future pandemics: revisiting lessons from the HIV pandemic

In April, 2020, just months into the COVID-19 pandemic, an international group of public health researchers published three lessons learned from the HIV pandemic for the response to COVID-19, which were to: anticipate health inequalities, create an enabling environment to support behavioural change, and engage a multidisciplinary effort. We revisit these lessons in light of more than 2 years' experience with the COVID-19 pandemic. With specific examples, we detail how inequalities have played out within and between countries, highlight factors that support or impede the creation of enabling environments, and note ongoing issues with the scarcity of integrated science and health system approaches. We argue that to better apply lessons learned as the COVID-19 pandemic matures and other infectious disease outbreaks emerge, it will be imperative to create dialogue among polarised perspectives, identify shared priorities, and draw on multidisciplinary evidence.

Pandemics, policy, and pluralism: A Feyerabend-inspired perspective on COVID-19

We analyse insufficient epistemic pluralism and associated problems in science-based policy advice during the COVID-19 pandemic drawing on specific arguments in Paul Feyerabend's philosophy. Our goal is twofold: to deepen our understanding of the epistemic shortcomings in science-based policy during the pandemic, and to assess the merits and problems of Feyerabend's arguments for epistemic pluralism as well as their relevance for policy-making. We discuss opportunities and challenges of integrating a plurality of viewpoints from within and outside science into policy advice thus contributing to discussions about normative issues concerning evidence and expertise in policy-making.

Reframing the environment in data-intensive health sciences

In this paper, we analyse the relation between the use of environmental data in contemporary health sciences and related conceptualisations and operationalisations of the notion of environment. We consider three case studies that exemplify a different selection of environmental data and mode of data integration in data-intensive epidemiology. We argue that the diversification of data sources, their increase in scale and scope, and the application of novel analytic tools have brought about three significant conceptual shifts. First, we discuss the EXPOsOMICS project, an attempt to integrate genomic and environmental data which suggests a reframing of the boundaries between external and internal environments. Second, we explore the MEDMI platform, whose efforts to combine health, environmental and climate data instantiate a reframing and expansion of environmental exposure. Third, we illustrate how extracting epidemiological insights from extensive social data collected by the CIDACS institute yields innovative attributions of causal power to environmental factors. Identifying these shifts highlights the benefits and opportunities of new environmental data, as well as the challenges that such tools bring to understanding and fostering health. It also emphasises the constraints that data selection and accessibility pose to scientific imagination, including how researchers frame key concepts in health-related research.

Expert voices in South African mass media during the COVID-19 pandemic

Scientists increasingly recognise that media visibility allows them to gain influence in public and policy spheres. However, some scientists shy away from publicity and journalists are purposefully selective when they seek out experts to interview. This may result in a skewed representation of scientists in the mass media. In this study, we explored which South African scientific experts at the academic rank of ‘professor’ were quoted in the local mass media during the initial 6 months of the COVID-19 pandemic. Our analysis of 1164 media articles related to COVID-19 showed that, as far as gender is concerned, men dominated as expert sources, with women accounting for only 30% of quoted professors. In terms of research field, most experts were from the broad field of health and medicine, with an under-representation of social scientists. We reflect on the implications and consequences of a skewed media representation of scientific expertise, as well as some of the options to remedy these imbalances.

Technocratic Decision-Making in Times of Crisis? The Use of Data for Scientific Policy Advice in Germany’s COVID-19 Management

COVID-19 has demonstrated the importance of data for scientific policy advice. Mechanisms by which data is generated, shared, and ultimately lead to policy responses are crucial for enhancing transparency and legitimacy of decisions. At the same time, the volume, complexity and volatility of data are growing. Against this background, mechanisms, actors, and problems of data-driven scientific policy advice are analysed. The study reveals role conflicts, ambiguities, and tensions in the interaction between scientific advisors and policy-makers. The assumption of a technocratic model, promoted by well-established structures and functioning processes of data-driven government, cannot be confirmed. Reality largely corresponds to the pragmatic model, in parts also the decisionist model, albeit with dysfunctional characteristics.