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COVID-19 Data: What are we counting?

July 23, 2020 by Jose Miguel Guzman 2 Comments

How many people have been infected by SARS-CoV-2? How many deaths have occurred? Nobody really knows the exact figures. There is a consensus that data on the number of COVID-19 pandemic cases and deaths are far from being exact. Additionally, in most cases, what is available for most users in national and international databases, dashboards, and bulletins is only basic information about the daily and cumulative numbers of cases, recoveries and deaths. It is a fact that in most countries, the collection, processing and dissemination of information has not been commensurate with data required for better informing policy decisions regarding the COVID-19 pandemic. Even European countries, where data collection is much better organized, cannot be considered as a gold standard either.  It is understandable that the number of cases is difficult to know, as asymptomatic cases represent an important part of the total (probably between 18% and 31% of all infections[i]). This is also true when testing is not systematic nor centralized and where there is no national data collection strategy paired with strict mandatory reporting.

Even in the United States, the type and quality of data collected and disseminated is rather inadequate. When reporting, states follow different standards and practices[ii]. What is presented above could explain the unprecedented situation we are facing now, where it is the media (New York Times) and universities (John Hopkins University) that have built databases widely used by the public. At the global level, the monitoring system of the WHO is based on national reports which are incomplete and affected by changes in the criteria used to define a case or a death. WHO mentions a recent trend in some countries toward ‘data reconciliation exercises’ that can remove an important number of cases and deaths[iii].

How are deaths counted?

Although mortality is considered as one of the best indicator of the health impacts of COVID-19[iv], the counting deaths caused by this pandemic has either not been done or has been inadequate and deaths have probably been undercounted. The main reason is lack of preparation in most countries for reporting a pandemic such as COVID-19.  Moreover, countries do not use the same definition or protocol to determine, record and report COVID-19 deaths.[v] Among the probable deaths that are not well counted are those that occurred outside hospitals and health centers. In Italy, the United Kingdom and Spain, deaths that occurred outside hospitals are not counted, contrary to Belgium and France where they are counted (in France after April 7th)[vi]. The case of deficiencies in the recording of deaths in homes and older persons’ residences, such as nursing homes, is notorious[vii]. In many cases, these deaths have not been reported, especially those that occurred at the start of the pandemic. 

This situation worsened because of the lack in many countries of adequate epidemiological surveillance systems, and in some cases, the political interference that affects what is disclosed or limits the possibility of agreements on data collection, processing and reporting methods. In spite of recent developments in the ecosystem of data science, including big data and AI, the apparently simple activity of counting deaths has been plagued with uncertainties.

But even within the same country, parameters have changed during the process. The most common change was to include not only the confirmed deaths (of patients who tested positive for COVID-19) but also the probable deaths (of persons who died and had all the symptoms but were not tested). In the United States[viii], 23 of 50 states report only confirmed deaths, while 27 report both confirmed and probable deaths (22 provide separate data and 5 combine both). There are countless places where definitions have changed to include probable deaths. This is the case in New York City where the change was just implemented on April 7th to include a large number of deaths due to COVID-19 that were occurring at home and were not being counted[ix]. On April 17th, China increased the number of its COVID-19 death toll by 50 % to include probable deaths occurring at home that were not correctly counted by hospitals[x].

These decisions have not necessarily been bad, since it means that previously excluded COVID-19 deaths are now being included. However, frequent changes in how COVID-19 deaths are counted undermine public credibility. Furthermore, the use of different standards affects the comparability of data.

But the biggest limitation for calculating the effect on mortality is the scarcity of information on deaths due to COVID-19 classified by age for each sex. Quite simply, this information, vital to measuring the impact of COVID on mortality, is not systematically available in most cases. Even in cases where deaths are classified by age, they are not necessarily presented for each sex separately. Worse still is the case of countries whose data by age and sex are not processed, and if processed, are not disseminated. What is more unusual in this situation is that in many cases this is happening not only in least developed countries but also in some middle income and even some developed countries that generally have statistical systems that usually allow for faster access to quality data. 

What this pandemic has clearly shown is a widespread lack of standardized systems for systematically and efficiently managing basic statistical data that need to be collected and widely disseminated in a pandemic situation. Among the efforts worth mentioning are those of the French National Institute for Demographic Studies (INED), which has created a database of deaths by sex and age standardized for the countries of Europe.

In countries with good vital statistical systems that count all deaths and identify the cause of death, better information will be forthcoming when the final data become ready and available, in most cases at the beginning of next year. But this is not the case in developing countries where systems systematically underreport deaths.  This lack of good quality data on vital statistics also makes impossible the use of another strategy being used to determine the actual number of COVID-19 related deaths: the calculation of excess deaths and excess mortality due to COVID-19.  This indirect demographic technique is being increasingly applied to calculate the number of COVID-19 deaths by comparing the number of expected deaths, based on information for previous year(s), with the actual number of deaths that occurred in 2020, which includes COVID-19 and non-COVID-19 deaths. This methodology allows for the estimation of the total number of both direct and indirect deaths[xi] caused by COVID-19 (See Figure 1 with the estimates for New York City[xii]). Unfortunately, developing countries with unreliable vital statistical systems are excluded from the possibility of applying this technique. 

Figure 1: Number of confirmed and probableCOVID-19–associated deaths and total estimated excess deaths, New York City, March 11–May 2, 2020

Source: Preliminary Estimate of Excess Mortality During the COVID-19 Outbreak — New York City, March 11–May 2, 2020. MMWR Morb Mortal Wkly Rep 2020;69:603–605. DOI: http://dx.doi.org/10.15585/mmwr.mm6919e5external

Final remarks

Agreements are needed between countries to define a more standardized way to count deaths, build databases including other key information such as age, sex, race, economic status and disseminate this information widely.  Better definitions and agreements are required to deal with data uncertainties in the future. In the current era, there are no excuses not to do a better job in measuring well the impact on morbidity and mortality of the largest pandemic of the last century.


REFERENCES

[i] Seyed M. Moghadas, Meagan C. Fitzpatrick, Pratha Sah, Abhishek Pandey, Affan Shoukat, Burton H. Singer, and Alison P. Galvani. The implications of silent transmission for the control of COVID-19 outbreaks. PNAS first published July 6, 2020 https://doi.org/10.1073/pnas.2008373117

[ii] Tracking COVID-19 in the United States: From Information Catastrophe to Empowered Communities. https://preventepidemics.org/wp-content/uploads/2020/07/Tracking-COVID-19-in-the-United-States-Report.pdf

[iii] WHO (2020), Coronavirus disease (COVID-19). Situation Report – 181. Data as received by WHO from national authorities by 10:00 CEST, 19 July 2020.

[iv] García-Basteiro AL, Chaccour C, Guinovart C, et al. Monitoring the COVID-19 epidemic in the context of widespread local transmission. The Lancet Respiratory Medicine 2020; DOI:10.1016/S2213-2600(20)30162-4.

[v] Simone Ghislandi, Raya Muttarak, Markus Sauerberg, Benedetta Scotti. News from the front: Estimation of excess mortality and life expectancy in the major epicenters of the COVID-19 pandemic in Italy. International Institute for Applied Systems Analysis, Schlossplatz 1, A-2361 Laxenburg, Austria.

[vi] See Gislandi et al (ibidem).

[vii] In May, 2020, it was estimated that one-Third of All U.S. Coronavirus Deaths Are Nursing Home Residents or Workers. By Karen Yourish, K.K. Rebecca Lai, Danielle Ivory and Mitch Smith. Updated May 11, 2020. https://www.nytimes.com/interactive/2020/05/09/us/coronavirus-cases-nursing-homes-us.html . More recent data shows however that more than 40% of COVID-19 deaths in the United States have occurred in long-term care facilities including nursing homes. But the report by States shows inconsistencies: some reported deaths of both residents and staff working at these facilities. Not all include all the facilities either (See: Tracking COVID-19 in the United States: From Information Catastrophe to Empowered Communities. https://preventepidemics.org/wp-content/uploads/2020/07/Tracking-COVID-19-in-the-United-States-Report.pdf

[viii] https://www.nytimes.com/interactive/2020/06/19/us/us-coronavirus-covid-death-toll.html

[ix] https://gothamist.com/news/death-count-expected-soar-nyc-says-it-will-begin-reporting-suspected-covid-deaths-addition-confirmed-ones

[x] https://www.nytimes.com/2020/04/17/world/asia/china-wuhan-coronavirus-death-toll.html

[xi] Indirect deaths are those that occurs because of the lack of access to health services by people affected by non-COVID-19 illnesses, due to the disruptions resulting from the CVID-19 pandemic.

[xii] Preliminary Estimate of Excess Mortality During the COVID-19 Outbreak — New York City, March 11–May 2, 2020. MMWR Morb Mortal Wkly Rep 2020;69:603–605. DOI: http://dx.doi.org/10.15585/mmwr.mm6919e5external

Filed Under: COVID-19, Blog Tagged With: Mortality

Reader Interactions

Comments

  1. Mary Kritz says

    July 24, 2020 at 9:40 pm

    This is a very helpful article and shows the problems confronting policymakers and the public as we all try to understand and manage the ongoing pandemic.

    Reply
    • Jose Miguel Guzman says

      July 28, 2020 at 4:06 pm

      You are absolutely right. Thanks for your comment.

      Reply

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Demographer and Emeritus Senior Researcher at INED

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Terence Hull

Emeritus Professor of Demography

Alexandre Sidorenko

Alexandre Sidorenko

Consultant on Policy and Programs on Aging

Silvia Giorguli

Silvia Giorguli

President of El Colegio de México

Nikolai Botev

Visiting Scholar/Adjunct Faculty at the Institute of Demography and Department of Demography, HSE University, Moscow

Nikolai Botev is a visiting scholar/adjunct faculty at the Institute of Demography and Department of Demography, HSE University, Moscow. He started his career as a researcher at the Higher Institute of Economics in Sofia, Bulgaria, before moving on to work for the United Nations. Until his recent retirement from UN, he worked for the Population Fund (UNFPA), where among other things he was Director of the UNFPA office for Central Asia. Prior to that he was with the UN Economic Commission for Europe (UNECE), where he managed a data-collection and research project on population ageing, and coordinated a number of high level inter-governmental meetings. Nikolai Botev holds a Ph.D. in Demography from the University of Pennsylvania (Philadelphia, USA). His professional and intellectual interests cover population and public policy (incl. the motivations, tools and outcomes of pronatalist policies), intermarriage and inter-group relations, population ageing and its social and economic implications, as well as historical demography and the theory of the demographic transition. He has published in journals like American Sociological Review, Population and Development Review, Population Studies, European Journal of Ageing, and has lectured in a number of academic institutions. Springer recently published his The Sexuality-Reproduction Nexus and the Three Demographic Transitions: An Integrative Framework (ISBN: 978-3-030-37555-3).

Diana E. Páez

Senior Director of Grants & Partnerships at the William Davidson Institute at the University of Michigan (U-M)

Diana E. Páez is Senior Director of Grants & Partnerships at the William Davidson Institute at the University of Michigan (U-M), an independent, non-profit research and educational organization working to help businesses thrive in low- and middle-income countries. In addition to leading the Institute’s business development efforts and overseeing grant-funded projects, Diana works to create value for businesses operating at the intersection of energy and mobility in emerging markets. Before joining WDI, she served as a Program Officer for the Higher Education for Development office of the American Council on Education in Washington, D.C.; a Program Manager for the National Democratic Institute; and a Public Sector Governance Consultant for The World Bank Institute. Proudly born and raised in Monterrey, Mexico, Diana has a JD in Law and Social Sciences from the Universidad Autónoma de Nuevo León, a Master’s degree in Public International Law from Université de Paris II, Panthéon Assas, and a Master’s degree in Prospective for International Studies from Université de Paris V, René Descartes. More recently, she completed a Foundations of Mobility Certificate from the University of Michigan College of Engineering. A passionate of international development, cross-cultural perspectives, and the power of serendipity, Diana enjoys learning, traveling, reading, and writing.

Daniel Schensul

Humanitarian Data and Risk Specialist for UNFPA

Daniel Schensul is Humanitarian Data and Risk Specialist for UNFPA’s Humanitarian Office. In this role he supports humanitarian work in high risk and emergency contexts in assessing and addressing risk and improving data and targeting for humanitarian preparedness and response. In this and prior roles, he has conducted extensive research on climate change risk and adaptation, as well as disaster vulnerability, including in Indonesia, Malawi, Maldives and the Caribbean. He also worked on research and policy in support of intergovernmental agreements and commitments the world’s governments have made related to population change, sexual and reproductive health, gender equality, climate change, humanitarian response and other areas. Dr. Schensul is co-editor of two books and has authored multiple papers on population issues and climate change, and has published on urbanization, sustainable development and demography. He received his BA from Columbia University and his PhD from Brown University.

Jacques Véron

Demographer and Emeritus Senior Researcher at INED

Jacques Véron is a French demographer and emeritus senior researcher at INED. He has been head of International Affairs Department of INED ant then Deputy Director. He has been a member of the French delegation to the United Nations Population and Development Commission for more than ten years. His research focuses on the relationship between population, environment and development. He is also working on Indian population dynamics in collaboration with Indian demographers. He was member of the team of the first survey on international migrations from Punjab. He is now studying the impact of cyclones in the Odisha State. He has also a special interest on the history and the epistemology of demography. In addition to his articles, he has published a number of books: Démographie (1991), Arithmétique de l’Homme (1993), Population et développement (1994), Le Monde des femmes (1997), Leibniz et les raisonnements sur la vie humaine (2001), L’urbanisation du monde (2006). He has edited Ages, generations and the Social contract. The Demographic Challenges facing the Welfare State (2007) and is co-editor of the Handbook of Population and Environment to be published in 2020.

Terence Hull

Emeritus Professor of Demography

Terence (Terry) Hull is Emeritus Professor of Demography at The Australian National University. He was President of the Asian Population Association for the period 2013-2015 and from 2015-2018 serves on the APA Council as the Immediate Past President. Since 2001 he has been on the International Steering Committee of the Asia Pacific Conference on Reproductive and Sexual Health and Rights. Before retirement in 2013 he was Professor of Demography in the Australian Demographic and Social Research Institute (ADSRI — now the School of Demography) and Adjunct Professor of the National Centre for Epidemiology and Population Health (NCEPH). In the latter position, he held the JC Caldwell Chair in Population, Health and Development. In his position as Emeritus Professor he is attached to the School of Demography in the Research School of Social Sciences, the College of Arts and Social Sciences. In 2015 Hull was made a Technical Advisor for the University of Melbourne’s Bloomberg Data for Health Initiative, a four-year project to improve civil registration and vital statistics in twenty countries. His focus will be on Indonesia, but he will also assist with training and program assessment.

Alexandre Sidorenko

Consultant on Policy and Programs on Aging

Dr. Alexandre Sidorenko is an international consultant on policy and programs on aging, including advisory services and training in Eastern European countries and countries of the former Soviet Union. His current assignments and duties: Member of the Societal Advisory Board of the EC Joint Program Initiative “More years, better lives”; Global Ambassador for HelpAge International (London, United Kingdom); International tutor, International Institute on Aging (UN-Malta); Member, Board of Trustees, World Demographic Association Forum Foundation (St. Gallen, Switzerland); Senior Advisor, European Centre for Social Welfare Policy and Research (Vienna, Austria). Previously, Alexandre Sidorenko was the Chief of the Population Unit, UN Economic Commission for Europe (2010); and Head of the United Nations Program on Aging (1988-2009). Dr. Sidorenko was born in St. Petersburg, Russia. He received his early education in Ukraine. Dr. Sidorenko pursued graduate studies in medicine, obtaining a Ph.D. in cellular immunology. He was a lecturer at the Kyiv Medical University from 1975 to 1978 and had ten years’ experience in experimental gerontology at the Kyiv Institute of Gerontology, spanning from 1978 to 1988.

Silvia Giorguli

President of El Colegio de México

Silvia Giorguli is the president of El Colegio de México and a faculty member of the Center for Demographic, Urban and Environmental Studies. Her research focuses on international migration from Mexico to the United States and its consequences on education, family formation, and family dynamics in both sides of the border and the transition to adulthood in Mexico and Latin America. She is co-researcher in the Mexican Migration Project. She received a PhD in Sociology from Brown University.

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