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1.
Science ; 380(6650): 1108-1109, 2023 06 16.
Article in English | MEDLINE | ID: mdl-37319216

ABSTRACT

Careful bias management and data fidelity are key.


Subject(s)
Artificial Intelligence , Social Sciences , Bias , Humans
2.
J Health Popul Nutr ; 28(1): 76-85, 2010 Feb.
Article in English | MEDLINE | ID: mdl-20214089

ABSTRACT

To explore beliefs relating to diet, work, and HIV/AIDS among the Busoga of rural southeastern Uganda, a cross-sectional survey of 322 adults was conducted in 2007 in Mayuge district, Uganda. Of these adults, 56 were HIV-infected, 120 had a family member with HIV/AIDS, and 146 were in households without HIV-infected members. More than 74.2% of the adults knew someone with HIV/AIDS, and more than 90% correctly identified transmission modes and prevention methods of HIV. In total, 93.2% believed that a person with HIV should work fewer hours to conserve energy but all the three participant groups reported the same working hours. Also, 91.6% believed that a person with HIV infection should eat special nutritious foods, and the participants with HIV infection reported eating more fruits (p=0.020) and vegetables (p=0.012) than other participants. The participants expressed a consistent set of health beliefs about practices relating to HIV/AIDS.


Subject(s)
Acquired Immunodeficiency Syndrome/psychology , Culture , Diet/psychology , Employment/psychology , Health Knowledge, Attitudes, Practice , Workload/psychology , Adult , Attitude to Health , Cross-Sectional Studies , Diet/methods , Diet/statistics & numerical data , Employment/methods , Female , Fruit , HIV Infections , Humans , Male , Rural Population/statistics & numerical data , Uganda , Vegetables , Workload/statistics & numerical data
3.
Int J Environ Res Public Health ; 6(8): 2113-38, 2009 08.
Article in English | MEDLINE | ID: mdl-19742210

ABSTRACT

The HIV/AIDS pandemic threatens economic, social, and environmental sustainability throughout sub-Saharan Africa. This paper reports on a qualitative study exploring interrelationships between HIV/AIDS, labor availability, agricultural productivity, household resources, food consumption, and health status in rural southeastern Uganda. Respondents reported an increase in widow-and-orphan-headed households; labor shortages due to illness and caretaking; degradation of household resources from health-related expenses; loss of land tenure and assets following deaths, especially for widows and orphans; and changes in agricultural practices and productivity. Our study highlights a potential downward spiral of livelihood degradation for vulnerable households and suggests targeted interventions to improve sustainability.


Subject(s)
Acquired Immunodeficiency Syndrome/ethnology , Cost of Illness , Family Characteristics , Acquired Immunodeficiency Syndrome/economics , Agriculture , Health Expenditures , Humans , Ownership , Rural Population , Social Conditions , Uganda
5.
J Land Use Sci ; 3(1): 41-72, 2008 Jan 01.
Article in English | MEDLINE | ID: mdl-19960107

ABSTRACT

Cross-site comparisons of case studies have been identified as an important priority by the land-use science community. From an empirical perspective, such comparisons potentially allow generalizations that may contribute to production of global-scale land-use and land-cover change projections. From a theoretical perspective, such comparisons can inform development of a theory of land-use science by identifying potential hypotheses and supporting or refuting evidence. This paper undertakes a structured comparison of four case studies of land-use change in frontier regions that follow an agent-based modeling approach. Our hypothesis is that each case study represents a particular manifestation of a common process. Given differences in initial conditions among sites and the time at which the process is observed, actual mechanisms and outcomes are anticipated to differ substantially between sites. Our goal is to reveal both commonalities and differences among research sites, model implementations, and ultimately, conclusions derived from the modeling process.

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