Demographic crisis: The impact of the Bangladesh civil war (1971) on births and deaths in a rural area of Bangladesh

Summary In Matlab Bazaar Thana the Cholera Research Laboratory has registered the births, deaths and migrations in a population of approximately 125,000 since 1966. Although this rural area was not the scene of any significant armed encounters, striking changes in birth and death rates were registered during and after the conflict. Birth rates did not change during the relatively brief period of the civil war, but a small decline was registered for one year after the war. Fertility rates which had been declining slightly and irregularly in the pre-war baseline period may have increased slightly during the war and fell substantially in all age groups in the year following the war. The crude death rate, which rose by 37 per cent during the war, was a very sensitive reflection of the administrative and economic problems. Overall infant mortality rose by only 15 per cent over pre-war levels because all of the increase was observed in the post-neo-natal component, which traditionally accounts for less than one-third of the total infant mortality in Bangladesh. Children and older adults accounted for the majority of excess deaths which were largely attributed to acute diarrhoeas and other gastro-intestinal causes. The death rate at ages 1-4 rose by 43 per cent and at ages 5-9 soared to 208 per cent above pre-war baseline rates. All increases in age-specific mortality rates fell to baseline levels during the year following the war, except the 5-9-year age group, in which rates continued to be high largely because of deaths due to dysentery.     

Malthus and the Philippines

Jose D. Drilon, Jr., president of Food Terminal, Inc., and a former undersecretary of the then Department of Agriculture and Natural Resources in the Philippines, attributes the widening gap between food supply and demand in developing countries to the high rate of population growth and to the inability of poor countries to produce more food. This situation, in which many countries are facing hunger, was predicted by Thomas Robert Malthus as early as the 16th century. The primary concern of Malthus was the problem of making the food supply keep pace with a constantly growing population. The question arises as to how reliable is Malthusian theory. According to Drilon, Malthus was correct in predicting that population would expand at a rate not previously imagined but that the other aspects of Malthusian theory might not hold true due to the intervention of human beings. For example, it is hoped that the imbalance between population growth and food production can be minimized in the future. In the Philippines there is good reason to be concerned about the validity of Malthusian theory. Although the country's growth rate has been reduced from 3.01% in 1970 to 2.6%, it is still quite high. However, the Philippines has actually been producing sufficient food to feed its population. To make the Philippines self-sufficient in rice, the government initiated the Masagana 99 program in May 1973. Technical and material resources from the public and private sectors were provided to aid rice producers. A nationwide information campaign was also launched to familiarize the farmers with the new methods of rice culture. Masagana 99 has been costly but effective. Since the launching of the program, rice production in the Philippines has been increasing at 7% a year. The government is now using the Masagana 99 formula to increase the production of other crops.     

TEACHING THE INDEPENDENCE OF X AND S2 IN APPLIED STATISTICS*

In this note, the independence of X and S² is proved without the prerequisite knowledge of differential calculus. The purpose is to compensate for the lack of a text in applied statistics that proves the independence of such statistics.     

OPTIMIZING ORGANIZATIONAL GOALS IN ASSIGNING FACULTY TEACHING SCHEDULES

The administration of higher education, as with other administrative environments, has become increasingly complex. This paper presents a mathematical model which addresses one of the administrative tasks concerning administrators in all institutions, the establishment of faculty teaching schedules. The assignment technique utilized by the model is linear programming with two special characteristics: goal programming and mixed-integer programming. The goal programming characteristic refers to the provision of explicit stack variables to take on values representing deviations from assignment criteria that may result in resolving conflicts which arise from interactive administrative priorities. The mixed-integer programming characteristic refers to a requirement of the model that certain variables take on only integer values if they appear in the final solution. The model is demonstrated using two different sets of preference orderings for goal achievement.     

Examining Localized Patterns of Air Quality Perception in Texas: A Spatial and Statistical Analysis

Environmental and human health issues associated with outdoor air pollution, such as ozone, sulfur dioxide, and other pollutants in metropolitan regions, are an area of growing concern for both policy officials and the general public. Increasing attention from the news media, new health data, and public debate over the effectiveness of clean air regulations have raised the importance of air quality in the public consciousness. While public perceptions of air quality have been studied thoroughly dating back to the 1960s, little empirical research has been conducted to explain the spatial aspects of these perceptions, particularly at the local level. Although recent studies suggest characteristics of local setting are important in shaping perceptions of air quality, the roles of proximity, neighborhood characteristics, and location have not been clarified. This study seeks to improve understanding of the major factors shaping public perceptions of air quality by examining the spatial pattern of local risk perception, the role of socioeconomic characteristics in forming these perceptions, and the relationship between perceived and scientifically measured air pollution. First, we map the spatial pattern of local air quality perceptions using Geographic Information Systems (GIS) across the Dallas and Houston metropolitan areas. Next, we explain these perceptions through local contextual factors using both bivariate correlations and multivariate regression analysis. Results indicate that perceptions of air quality in the study areas are not significantly correlated with air quality based on readings of air monitoring stations. Instead, perceptions appear to be influenced by setting (urban vs. rural), state identification, access to information, and socioeconomic characteristics such as age, race, and political identification. We discuss the implications of the findings and provide direction on how further research can provide a deeper understanding of the local contextual factors influencing public perceptions.