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Geocoding longitudinal and individual-level historical demographic databases enables novel analyses of how micro-level geographic factors affected demographic outcomes over long periods. However, such detailed geocoding involves high costs. Additionally, the high spatial resolution cannot be properly utilized if inappropriate methods are used to quantify the geographic factors. We assess how different geocoding levels and methods used to define geographic variables affects the outcome of detailed spatial and historical demographic analyses. Using a longitudinal and individual-level demographic database geocoded at the property unit level, we analyse the effects of population density and proximity to wetlands on all-cause mortality for individuals who lived in five Swedish parishes, 1850–1914. We compare the results from analyses on three detailed geocoding levels using two common quantification methods for each geographic variable. Together with the method selected for quantifying the geographic factors, even small differences in positional accuracy (20–50 m) between the property units and slightly coarser geographic levels heavily affected the results of the demographic analyses. The results also show the importance of accounting for geographic changes over time. Finally, proximity to wetlands and population density affected the mortality of women and children, respectively. However, all possible determinants of mortality were not evaluated in the analyses. In conclusion, for rural historical areas, geocoding to property units is likely necessary for fine-scale analyses at distances within a few hundred metres. We must also carefully consider the quantification methods that are the most logical for the geographic context and the type of analyses.

Source at http://hdl.handle.net/10622/23526343-2018-00014?locatt=view:master. It has previously been shown that infant mortality clusters in a subset of families, a phenomenon which was observed in historical populations as well as contemporary developing countries. A transmission of death clustering across generations has also been shown in Belgium, but it is unknown whether such effects are specific to the studied context or are also found in other areas. The current article introduces a special issue devoted to analysing intergenerational transmissions of infant mortality across the maternal line in Belgium, the Netherlands, northern and southern Sweden, and Norway. Taking advantage of the Intermediate Data Structure (IDS), the five empirical studies created datasets for analysis and ran statistical models using exactly the same programs, which are also published within the special issue. These works are the first set of studies using the IDS on several databases for comparative purposes. Consistent results across the studied contexts were shown: transfers of infant mortality across the maternal line were seen in all five areas. In addition, the works have shown that there are large advantages of adopting the IDS for historical demographic research. The structure has in fact allowed researchers to conduct studies which were fully comparable, transparent and replicable.

Background: Child mortality differed greatly within rural regions in Europe before and during the mortality transition. Little is known about the role of nutrition in such geographic differences, and about the factors affecting the nutritional status and hence the disease outcomes. Objective: Focusing on nutrition, we analyse the effects of soil type, used as an indicator of the farm-level agricultural productivity and hence of nutritional status, on mortality of children aged 1-15 living in five rural parishes in southern Sweden, 1850-1914. Methods: Using longitudinal demographic data combined with unique geographic microdata on residential histories, the effect of soil type on mortality risks are analysed considering as outcome all-cause mortality and mortality from nonairborne and airborne infectious diseases. Results: Soil type primarily affected the mortality of farmers' children, but not labourers' children. Particularly, farmers' children residing in areas with very high proportions of clayey till (75-100Š coverage) experienced lower risks of dying compared to children residing in areas with other soil types such as clay and sandy soils. Conclusions: Certain soil types seem to have influenced agricultural productivity, which in turn affected the nutrition of farmers' children and thus their likelihood of dying. The results indicate the relatively important role of nutrition as a mortality predictor for these children. Contribution: As, to our knowledge, the first longitudinal study at the microlevel that analyses the effects of soil type on mortality in a historical rural society, we contribute to the literature on the role of nutrition on the risk of dying in a preindustrial society.

Using micro-level longitudinal data from Southern Sweden for 1813 to 1968, this work evaluates the effect of exposure to disease in early life on mortality over the entire life course and separately by sex. The local rates of post-early neonatal mortality are considered indicators of early life disease exposure, and these rates are calculated specifically for each person based on birth date. The loss in median remaining life among exposed individuals who survived to age 1 is 1.1 years for females and 2.1 years for males. Exposed individuals show a cross-over from lower to higher relative mortality as they age. This change occurs in adulthood for males and in old age for females. During adulthood, exposed males present higher rates of death than exposed females. These results are new to the literature and shed light on the importance of adopting a full life course approach and capturing sex differences when evaluating the long-term impacts of early life exposures.

BackgroundChild mortality differed greatly within rural regions in Europe before and during the mortality decline. Not much is known about the role of nutrition in such geographic differences, and about the factors affecting the nutritional level and hence the resistance to diseases.ObjectiveFocusing on nutrition, we analyse the effects of soil type, used as an indicator of the farm-level agricultural productivity and hence of nutritional status, on mortality of children aged 1-15 living in five rural parishes in southern Sweden, 1850-1914.MethodsUsing longitudinal demographic data combined with unique geographic micro-data on residential histories, the effect of soil type on the mortality risks are analysed considering as outcome all-cause mortality and mortality from non-airborne and airborne infectious diseases.ResultsSoil type primarily affected the mortality of farmers’ children, but not labourers’ children. Particularly, farmers’ children residing in areas with very high proportions of clayey till (75-100% coverage) experienced lower risks of dying compared to children residing in areas with other soil types such as clay and sandy soils.ConclusionsCertain soil types seem to have influenced the agricultural productivity, which, in turn, affected the nutrition of the farmers’ children and thus their likelihood of dying. The results indicate a relatively important role of nutrition as a mortality predictor for these children.ContributionAs, to our knowledge, the first longitudinal study on the micro-level that analyses the effects of soil type on mortality in a historical rural society, we contribute to the literature on the role of nutrition on the risk of dying in a pre-industrial society.