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      Housing, sanitation and living conditions affecting SARS-CoV-2 prevention interventions in 54 African countries

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          Abstract

          The feasibility of non-pharmacological public health interventions (NPIs) such as physical distancing or isolation at home to prevent severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission in low-resource countries is unknown. Household survey data from 54 African countries were used to investigate the feasibility of SARS-CoV-2 NPIs in low-resource settings. Across the 54 countries, approximately 718 million people lived in households with ⩾6 individuals at home (median percentage of at-risk households 56% (95% confidence interval (CI), 51% to 60%)). Approximately 283 million people lived in households where ⩾3 people slept in a single room (median percentage of at-risk households 15% (95% CI, 13% to 19%)). An estimated 890 million Africans lack on-site water (71% (95% CI, 62% to 80%)), while 700 million people lacked in-home soap/washing facilities (56% (95% CI, 42% to 73%)). The median percentage of people without a refrigerator in the home was 79% (95% CI, 67% to 88%), while 45% (95% CI, 39% to 52%) shared toilet facilities with other households. Individuals in low-resource settings have substantial obstacles to implementing NPIs for mitigating SARS-CoV-2 transmission. These populations urgently need to be prioritised for coronavirus disease 2019 vaccination to prevent disease and to contain the global pandemic.

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          Most cited references20

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          COVID-19 and Italy: what next?

          Summary The spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has already taken on pandemic proportions, affecting over 100 countries in a matter of weeks. A global response to prepare health systems worldwide is imperative. Although containment measures in China have reduced new cases by more than 90%, this reduction is not the case elsewhere, and Italy has been particularly affected. There is now grave concern regarding the Italian national health system's capacity to effectively respond to the needs of patients who are infected and require intensive care for SARS-CoV-2 pneumonia. The percentage of patients in intensive care reported daily in Italy between March 1 and March 11, 2020, has consistently been between 9% and 11% of patients who are actively infected. The number of patients infected since Feb 21 in Italy closely follows an exponential trend. If this trend continues for 1 more week, there will be 30 000 infected patients. Intensive care units will then be at maximum capacity; up to 4000 hospital beds will be needed by mid-April, 2020. Our analysis might help political leaders and health authorities to allocate enough resources, including personnel, beds, and intensive care facilities, to manage the situation in the next few days and weeks. If the Italian outbreak follows a similar trend as in Hubei province, China, the number of newly infected patients could start to decrease within 3–4 days, departing from the exponential trend. However, this cannot currently be predicted because of differences between social distancing measures and the capacity to quickly build dedicated facilities in China.
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            Demographic and health surveys: a profile.

            Demographic and Health Surveys (DHS) are comparable nationally representative household surveys that have been conducted in more than 85 countries worldwide since 1984. The DHS were initially designed to expand on demographic, fertility and family planning data collected in the World Fertility Surveys and Contraceptive Prevalence Surveys, and continue to provide an important resource for the monitoring of vital statistics and population health indicators in low- and middle-income countries. The DHS collect a wide range of objective and self-reported data with a strong focus on indicators of fertility, reproductive health, maternal and child health, mortality, nutrition and self-reported health behaviours among adults. Key advantages of the DHS include high response rates, national coverage, high quality interviewer training, standardized data collection procedures across countries and consistent content over time, allowing comparability across populations cross-sectionally and over time. Data from DHS facilitate epidemiological research focused on monitoring of prevalence, trends and inequalities. A variety of robust observational data analysis methods have been used, including cross-sectional designs, repeated cross-sectional designs, spatial and multilevel analyses, intra-household designs and cross-comparative analyses. In this profile, we present an overview of the DHS along with an introduction to the potential scope for these data in contributing to the field of micro- and macro-epidemiology. DHS datasets are available for researchers through MEASURE DHS at www.measuredhs.com.
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              Projecting hospital utilization during the COVID-19 outbreaks in the United States

              Significance Our results highlight that the growing coronavirus disease 2019 (COVID-19) outbreak in the United States could gravely challenge the critical care capacity, thereby exacerbating case fatality rates. In the absence of a preventive vaccine, efforts to contain the outbreak, such as improving self-isolation rates and encouraging better hygiene practices, can alleviate some of the pressures faced by the healthcare system during an outbreak. Both emergency expansion of hospital facilities to treat COVID-19 and government appropriations to facilitate voluntary case isolation are urgently needed.
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                Author and article information

                Journal
                Epidemiol Infect
                Epidemiol Infect
                HYG
                Epidemiology and Infection
                Cambridge University Press (Cambridge, UK )
                0950-2688
                1469-4409
                2021
                23 July 2021
                : 149
                : e183
                Affiliations
                [1 ]Department of Medicine, Geffen School of Medicine and Department of Epidemiology, Fielding School of Public Health, University of California , Los Angeles, Los Angeles, USA
                [2 ]Bristol Poverty Institute, Townsend Centre for International Poverty Research, University of Bristol , Bristol, UK
                [3 ]School of Public Health and Primary Care, The Chinese University of Hong Kong , Hong Kong, People's Republic of China
                [4 ]African Child Policy Forum , Addis Ababa, Ethiopia
                [5 ]Department of Sociology and Work Science, University of Gothenburg , Gothenburg, Sweden
                [6 ]Centre d'Estudis Demogràfics , Barcelona, Spain
                [7 ]African Centre of Excellence for Inequalities Research, University of Cape Town , Cape Town, South Africa
                [8 ]Universidad Nacional Autónoma de México , Mexico City, Mexico
                [9 ]School of Social Sciences, Cardiff University , Cardiff, UK
                [10 ]Department of Health, Policy & Management, Fielding School of Public Health and Department of Public Policy, Luskin School of Public Affairs, University of California , Los Angeles, CA, USA
                Author notes
                Author for correspondence: Timothy F. Brewer, E-mail: tbrewer@ 123456mednet.ucla.edu
                Author information
                https://orcid.org/0000-0002-5615-1639
                https://orcid.org/0000-0003-2534-3811
                https://orcid.org/0000-0001-6226-8545
                Article
                S0950268821001734
                10.1017/S0950268821001734
                8367861
                48c9816e-9ea5-4ee3-824c-46a7bc6ced6b
                © The Author(s) 2021

                This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.

                History
                : 12 May 2021
                : 09 July 2021
                : 16 July 2021
                Page count
                Figures: 1, Tables: 2, References: 24, Pages: 6
                Funding
                Funded by: Bill and Melinda Gates Foundation, doi http://dx.doi.org/10.13039/100000865;
                Funded by: UK Research and Innovation Global Challenge Research Fund
                Award ID: ES/T010487/1
                Funded by: Conrad N. Hilton Foundation, doi http://dx.doi.org/10.13039/100000910;
                Funded by: Elisabeth Blackwell Institute for Health Research
                Categories
                Original Paper

                Public health
                covid-19,non-pharmacologic interventions,prevention,africa,public health
                Public health
                covid-19, non-pharmacologic interventions, prevention, africa, public health

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