This essay provides a series of reflections on the current state of demography as seen by four early-career researchers who are actively engaged in aspects of the discipline as varied as research, teaching, mentorship, data collection efforts, policy making, and policy advising. Despite some claims that the discipline is weakening, we showcase the great potential of the field and outline promising pathways and novel directions for the future. In so doing, we critically assess recent innovations in data quality and availability, stressing the need to "revolutionize" the way that demographic methods are taught by adopting a viewpoint that more closely reflects the rapidly changing, or "fast," nature of global social phenomena such as conflict-related displacements, environmental disasters, migration streams, pandemics, and evolving population policies. We conclude by discussing the relevance of careful demographic analyses for policy making, stressing three main points: (i) the need to make demography more visible and understandable to the public eye; (ii) the importance of engaging and co-creating with local communities to "break" the academic bubble; and (iii) the urge to counteract the spread of misinformation-a phenomenon that has become even more visible in the aftermath of the COVID-19 outbreak.

Important investments in Africa have reduced slightly the levels child mortality but life expectancy still very low. The number of children without surviving biological parents is increasing and orphans are becoming an important social problem. Because Sahelian societies are mostly patriarchal, becoming fatherless or motherless will have different effects on the well being of the child. This paper examines the levels and trends of the survival status of the parents and then, living arrangements of orphans. We describe characteristics of these children with a special focus on education and economic activities. The paper uses the censuses from Chad, Niger and Senegal made available by the African Census Analysis Project (ACAP) held at University of Pennsylvania. These countries collected information on survival status of each biological parent to estimate adult mortality but the potential of this information for research on child well-being is rarely exploited.

China is and will be characterized by a large number of men who are unable to marry: these men are often referred to as "bare branches." In this paper we define the bare branch family and divide its life cycle into three stages: the unmarried co-resident with both parents, co-resident with a surviving parent, and living alone. Using life tables and probability methods, we find that up to age 60, the bare branch male faces cumulative probabilities of 0.8 and 0.6, for his father's and mother's death, respectively. The definition of the age at which bare branch status is initialized influences the length of these stages. As the childbearing age of parents increases, the age of a bare branch at the death of his parents decreases, and the duration of his living alone lengthens. An increase in the mother's childbearing age, holding that of the father constant, shortens the stage of co-residence with both parents, and lengthens the stage of living alone.

The first wave of the COVID-19 pandemic has led to excess mortality across the globe, and Canada has been no exception. Nonetheless, the pandemic experience has been very different across provinces, and the objective of this paper is to investigate these differences focusing on two extreme cases. We contrast the mortality experience of British Columbia with that of Québec to understand how large differences in mortality during the first wave of the pandemic emerged across these two provinces. We find that most of the differences can be found in excess mortality in institutions (nursing homes) and that travel restrictions, differences in how deaths are recorded, differences in the seasonality of the flu, or differences in how the pandemic spread across different economic segments of the population are unlikely explain these large differences. We document that the reported death toll from COVID-19 is about 30% larger than excess mortality in Quebec due to lower mortality from other causes of death, in particular malignant tumors, heart disease, and respiratory problems. We do not find evidence of an income gradient (measured by postal code level income) in relative excess death for the first wave.

There is growing evidence that the risk and burden of COVID-19 infections are not equally distributed across population subgroups and that racialized communities are experiencing disproportionately higher morbidity and mortality rates. However, due to the absence of large-scale race-based data, it is impossible to measure the extent to which immigrant and racialized communities are experiencing the pandemic and the impact of measures taken (or not) to mitigate these impacts, especially at a local level. To address this issue, the Ottawa Local Immigration Partnership partnered with the Collaborative Critical Research for Equity and Transformation in Health lab at the University of Ottawa and the Canadians of African Descent Health Organization to implement a project to build local organizational capacities to understand, monitor, and mitigate the impact of the COVID-19 pandemic on immigrant and racialized populations. This research note describes the working framework used for this project, proposed indicators for measuring the determinants of health among immigrant and racialized populations, and the data gaps we encountered. Recommendations are made to policymakers, and community and health stakeholders at all levels on how to collect and use data to address COVID-19 health inequities, including data collection strategies aimed at community engagement in the collection of disaggregated data, improving methods for collecting and analyzing data on immigrants and racialized groups and policies to enable and enhance data disaggregation. Résumé Des plus en plus d'études montrent que le risque et le fardeau des infections à la COVID-19 ne sont pas également répartis dans la population et que les communautés racialisées connaissent des taux de morbidité et de mortalité disproportionnellement plus élevés. Cependant, en raison de l'absence de données ventilés selon le statut ethnique, il est impossible de mesurer comment les communautés immigrantes et racialisées vivent la pandémie et quel est l'impact des mesures prises (ou non) pour atténuer ces effets, surtout à un niveau local. Pour résoudre ce problème, le Partenariat local pour l'immigration d'Ottawa (PLIO) s'est associé au Laboratoire de recherche critique collaborative pour l'équité et la transformation en santé (CO-CREATH) de l'Université d'Ottawa et l'Organisation de la santé des Canadiens d'ascendance africaine (CADHO) aux fins de mettre en œuvre un projet visant à renforcer les capacités organisationnelles locales pour comprendre, surveiller et atténuer l'impact de la pandémie de la COVID-19 sur les populations immigrantes et racialisées. Cette note de recherche décrit le cadre de travail utilisé pour ce projet, les indicateurs proposés pour mesurer les déterminants de la santé chez les populations immigrantes et racialisées, et les lacunes que nous avons identifiés dans les données existants. Des recommandations sont faites aux décideurs politiques et aux acteurs communautaires et de la santé à tous les niveaux sur comment collecter et utiliser les données pour remédier aux inégalités en matière de santé liées à la COVID-19. Ces recommandations font référence aux stratégies de collecte de données visant à impliquer les communautés, à l'amélioration des méthodes de collecte et d'analyse des données sur les immigrants et les groupes racialisés, et aux politiques nécessaires pour permettre et améliorer la désagrégation des données selon le statut ethnique.

The new coronavirus (COVID-19) is having a major impact on mortality and survival in most countries of the world, with Mexico being one of the countries most heavily impacted by the pandemic. In this paper, we study the impact of COVID-19 deaths on period life expectancy at birth in Mexico by sex and state. We focus on the loss of life expectancy at different ages as a geographically comparable measure of the pandemic's impact on the population in 2020. Results show that males have been affected more than women since they have lost more years of life expectancy at birth due to COVID-19, and they have also experienced a high variation of life expectancy loss across states. The biggest life expectancy loss concentrates in the Northeastern, Central, and Southeastern (Yucatan peninsula) states. Considering the likely undercount associated with COVID-19 deaths, sensitivity analysis suggests that the new coronavirus is having a much larger impact on life expectancy in Mexico than the official government data appears to indicate. Continuos assessment of the pandemic will help state governments quantify the effect of current and new public health measures.

[This corrects the article DOI: 10.1007/s42650-021-00050-2.].

The novel coronavirus disease 2019 (COVID-19) pandemic underscores the importance of place of residence as a determinant of health. Prior work has primarily examined the relationship between neighbourhoods' sociodemographic traits and COVID-19 infection rates. Using data from the City of Toronto, Canada, we assess how the built environments of neighbourhoods, in conjunction with their sociodemographic profiles, shape the pattern of spread of COVID-19 in low-, middle-, and high-income neighbourhoods. Our results show that COVID-19 spread faster in neighbourhoods with a higher share of overcrowded households, large commercial areas, and poor walkability. The extent to which neighbourhood walkability is associated with a slower increase in COVID-19 infections varied by neighbourhood income level, with a stronger negative association in low-income neighbourhoods. Net of the share of overcrowded households, population density is associated with a faster increase in COVID-19 infections in low-income neighbourhoods, but slower increase in high-income neighbourhoods. More green space is associated with a slower increase in COVID-19 infections in low-income, but not higher-income, neighbourhoods. Overall, our findings suggest that post-pandemic urban planning efforts cannot adopt a one-size-fits-all policy when reconstructing neighbourhoods in ways that promote health and reduce their vulnerability to infectious diseases. Instead, they should tailor the rebuilding process in ways that address the diverse needs of residents in low-, middle-, and high-income neighbourhoods.

A large multidisciplinary literature discusses the relationship between economic growth and population health. The idea that economic growth is good for societies has inspired extensive academic debate, but conclusions have been mixed. To help shed light on the subject, this paper focuses on opportunities for consensus in this large literature. Much scholarship finds that the health-growth relationship varies according to (1) which aspect of "health" is under consideration, (2) shape (e.g., positive linear or logarithmic), (3) issues of timing (e.g., growth over the short or long term), (4) a focus on health inequalities as opposed to population averages, and (5) multivariable relationships with additional factors. After reflecting upon these findings, I propose that economic growth promotes health in some respects, for some countries, and in conjunction with other life-supporting priorities, but does not by itself improve population health generally speaking. I then argue there is already wide, interdisciplinary consensus to support this stance. Moreover, policies focusing exclusively on economic growth threaten harm to both population health and growth, which is to say that political dynamics are also implicated. Yet multivariable approaches can help clarify the bigger picture of how growth relates to health. For moving this literature forward, the best opportunities may involve the simultaneous analysis of multiple factors. The recognition of consensus around these issues would be welcome, and timely.

Canada and the USA are often compared for their markedly different approaches to health care despite cultural similarities and sharing the world's longest international boundary. The period between the onset of the COVID-19 pandemic in January 2020 and the availability of a vaccine in December 2020 offers an ideal opportunity to compare subnational Canadian and American pandemic mortality. Preventing the spread of COVID-19 was through compliance with health orders and best practices; treatment was only available to those admitted to hospitals and whose lives were at risk. Using publicly available data from the Johns Hopkins University 2019 Novel Coronavirus Visual Dashboard, we seek to uncover if there were any similarities in Canadian provinces' and American states' monthly COVID-19 mortality per 100,000 people, building on a broader scientific push towards understanding the successes and failures of different health systems in the pandemic. The similar province and state cumulative COVID-19 mortality rate trajectories identified in our analyses do not amount to intuitive comparative jurisdictions which suggests the importance of identifying localized pandemic responses.