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1.
Article in English | MEDLINE | ID: mdl-35600320

ABSTRACT

In lower-income countries, the economic contractions that accompany lockdowns to contain COVID-19 transmission can increase child mortality, counteracting the mortality reductions achieved by the lockdown. To formalize and quantify this effect, we build a macrosusceptible-infected-recovered model that features heterogeneous agents and a country-group-specific relationship between economic downturns and child mortality and calibrate it to data for 85 countries across all income levels. We find that in some low-income countries, a lockdown can produce net increases in mortality. The optimal lockdown that maximizes the present value of aggregate social welfare is shorter and milder in poorer countries than in rich ones.

2.
Energy Res Soc Sci ; 44: 411-418, 2018 Oct.
Article in English | MEDLINE | ID: mdl-30467534

ABSTRACT

As the world's most traded commodity, oil production is typically well monitored and analyzed. It also has established links to geopolitics, international relations, and security. Despite this attention, the illicit production, refining, and trade of oil and derivative products occur all over the world and provide significant revenues outside of the oversight and regulation of governments. A prominent manifestation of this phenomenon is how terrorist and insurgent organizations-including the Islamic State group, also known as ISIL/ISIS or Daesh-use oil as a revenue source. Understanding the spatial and temporal variation in production can help determine the scale of operations, technical capacity, and revenue streams. This information, in turn, can inform both security and reconstruction strategies. To this end, we use satellite multi-spectral imaging and ground-truth pre-war output data to effectively construct a real-time census of oil production in areas controlled by the ISIL terrorist group. More broadly, remotely measuring the activity of extractive industries in conflict-affected areas without reliable administrative data can support a broad range of public policy and decisions and military operations.

3.
Soc Sci Med ; 65(3): 467-80, 2007 Aug.
Article in English | MEDLINE | ID: mdl-17462803

ABSTRACT

The relationship between poverty and mental health has received considerable attention in the recent literature. However, the associations presented in existing studies typically rely on limited samples of individuals and on proxy indicators for poverty such as education, the lack of tap water, or being unemployed. We revisit the relationship between poverty and mental health using data from nationally representative household surveys in Bosnia and Herzegovina, Indonesia and Mexico, along with special surveys from India and Tonga. As in previous studies, we find that individuals who are older, female, widowed, and in poor health are more likely to report worse mental health outcomes. Individuals living with others with poor mental health are significantly more likely to report worse mental health themselves. The size of the coefficients and their significance are comparable across the five countries. In contrast to previous studies, the relationship between higher education and better mental health is weak or non-existent. Furthermore, there is no consistent association between consumption poverty and mental health - in two countries mental health measures are marginally worse for the poor; in two countries there is no association; and in one country mental health measures are better for the poor compared to the non-poor. Moreover, the sizes of the coefficients for both education and consumption poverty are small compared to other factors considered here. While the lack of an association between consumption poverty and mental health implies that poor mental health is not a "disease of affluence", neither is it a disease of poverty. Changes in life circumstances brought on, for instance, by illness may have a greater impact on mental health than levels of poverty. Effective public health policy for mental health should focus on protecting individuals and households from adverse events and on targeted interventions following such adverse changes.


Subject(s)
Developing Countries/statistics & numerical data , Mental Health/statistics & numerical data , Poverty/psychology , Poverty/statistics & numerical data , Adolescent , Adult , Age Factors , Aged , Aged, 80 and over , Female , Health Status , Humans , Male , Middle Aged , Sex Factors , Socioeconomic Factors
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