scholarly journals Crowded Cities: New Methodology in COVID-19 Risk Assessment

2021 ◽  
Vol 13 (13) ◽  
pp. 7167
Author(s):  
Somik V. Lall ◽  
Sameh N. Wahba
Keyword(s):  
Risk Assessment ◽  
Local Governments ◽  
Urban Population ◽  
Open Space ◽  
Middle Income Country ◽  
Land Area ◽  
Predictive Tool ◽  
Middle Income ◽  
Floor Space ◽  
Novel Approach

In this paper, we provide a novel approach to distinguish livable urban densities from crowded cities and describe how this distinction has proved to be critical in predicting COVID-19 contagion hotspots in cities in low- and middle-income country. Urban population density—considered as the ratio of population to land area, without reference to floor space consumption or other measures of livability—can have large drawbacks. To address this drawback and distinguish between density and crowding, it is important to adjust for measures of floor space as well as open space and neighborhood amenities. We use a dataset on building heights, representative of cities worldwide, to measure densities based on floor area consumption per person as well as apply this measure to develop a COVID-19 hotspot predictive tool to help city leaders prioritize civic and medical resources during the pandemic. We conclude by outlining priority interventions that could enable city leaders and local governments to transform crowded cities into livable places.

Women break down the barriers to the Vietnamese social sciences and humanities

2019 ◽  
Author(s):  
Quan-Hoang Vuong
Keyword(s):  
Social Sciences ◽  
Gender Inequality ◽  
Middle Income Country ◽  
Women In Science ◽  
Income Country ◽  
The West ◽  
Middle Income ◽  
Social Sciences And Humanities ◽  
The Social ◽  
Low And Middle Income

Valian rightly made a case for better recognition of women in science during the Nobel week in October 2018 (Valian, 2018). However, it seems most published views about gender inequality in Nature focused on the West. This correspondence shifts the focus to women in the social sciences and humanities (SSH) in a low- and middle-income country (LMIC).

International Health Research Ethics

2020 ◽  
Author(s):  
Bridget Pratt
Keyword(s):  
Research Ethics ◽  
Health Research ◽  
International Research ◽  
International Health ◽  
Middle Income Country ◽  
Income Country ◽  
Benefit Sharing ◽  
Middle Income ◽  
Ethical Concerns ◽  
Low And Middle Income

Health research funded by organizations from HICs and conducted in low- and middle-income countries has grown significantly since 1990. Power imbalances and inequities frequently (but not always) exist at each stage of the international research process. Unsurprisingly then, a variety of ethical concerns commonly arise in the context of international health research, such as inequities in funding, the semi-colonial nature of international research models, the brain drain of low- and middle-income country researchers, and inequities in partnerships between HIC and low- and middle-income country researchers. In this chapter, these (and other) ethical concerns are introduced and the following ethical concepts to address the concerns are then discussed: responsiveness, standard of care, benefit sharing, community engagement, and social value. Existing guidance and remaining debates about how to specify each of the concepts are summarized. The chapter concludes by highlighting the existence of epistemic injustices within the field of international research ethics.

scholarly journals Interpregnancy interval in lower versus higher human development index countries: a hypothesis about pregnancy spacing

2020 ◽  
Author(s):  
Margo S Harrison
Keyword(s):  
Regression Model ◽  
Human Development Index ◽  
Secondary Analysis ◽  
Middle Income Country ◽  
Income Country ◽  
Interpregnancy Interval ◽  
Middle Income ◽  
Pregnancy Spacing ◽  
The Usa ◽  
Very High

Abstract Background A secondary analysis was conducted of two separate datasets to observe the association between maternal age and interpregnancy interval (IPI). Methods The IPI in a middle-income country (Guatemala) was compared with that of a very-high-income country (USA) among women with two pregnancies. Results A regression model found that with each increasing year of age, the IPI increases by 1.26 months (p<0.001) in Guatemala. A regression model found that IPI decreased as women aged in the USA. Conclusions It is hypothesized that as countries progress in their development indices, women may delay childbearing, which may result in reduced IPI, as was the case in the USA compared with Guatemala in these datasets.

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