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Psychologists have become increasingly interested in the geographical organization of psychological phenomena. Such studies typically seek to identify geographical variation in psychological characteristics and examine the causes and consequences of that variation. Geo-psychological research offers unique advantages, such as a wide variety of easily obtainable behavioral outcomes. However, studies at the geographically aggregate level also come with unique challenges that require psychologists to work with unfamiliar data formats, sources, measures, and statistical problems. The present article aims to present psychologists with a methodological roadmap that equips them with basic analytical techniques for geographical analysis. Across five sections, we provide a step-by-step tutorial and walk readers through a full geo-psychological research project. We provide guidance for (a) choosing an appropriate geographical level and aggregating individual data, (b) spatializing data and mapping geographical distributions, (c) creating and managing spatial weights matrices, (d) assessing geographical clustering and identifying distributional patterns, and (e) regressing spatial data using spatial regression models. Throughout the tutorial, we alternate between explanatory sections that feature in-depth background information and hands-on sections that use real data to demonstrate the practical implementation of each step in R. The full R code and all data used in this demonstration are available from the OSF project page accompanying this article. [ABSTRACT FROM AUTHOR]

Twenty-four samples of differently produced commercial Italian cider were analyzed for their polyphenols profile and antioxidant activity. A partial least square regression was used to correlate the ciders' antioxidant activity with their polyphenolic content. Statistical analyses revealed only a clustering pattern in the samples based on their geographical area of production (North-West, NW, vs. North-East, NE). Indeed, NW ciders, compared to NE ones, showed higher antioxidant activity and higher contents of procyanidin B1, catechin, chlorogenic acid, epicatechin, and total polyphenols. On the contrary, no clear-cut clustering pattern determined by cidermaking procedures (i.e., Charmat or Champenoise method) has been observed. These data suggest that the differences observed between NW and NE ciders might be accounted uniquely to the use of different apple varieties and/or the maturation status, as well as the pedoclimatic conditions of their production areas and not for cellar procedures' specificity. [ABSTRACT FROM AUTHOR]

Nematodes of the genus Dictyocaulus are the causative agents of parasitic bronchitis and pneumonia in several domestic and wild ungulates. Various species have been described in wild cervids, as the case of Dictyocaulus cervi in red deer, recently described as a separate species from Dictyocaulus eckerti. In Italy, information on dictyocaulosis in wildlife is limited and often outdated. In this work, 250 red deer were examined for the presence of Dictyocaulus spp. in two areas of the Italian Alps (n = 104 from Valle d'Aosta, n = 146 from Stelvio National Park), and the retrieved lungworms were molecularly characterized. Lungworms were identified in 23 and 32 animals from Valle d'Aosta and Stelvio National Park, respectively. The nematodes, morphologically identified as D. cervi, were characterized molecularly (18S rDNA, ITS2, and coxI). Consistently, almost all specimens were found to be phylogenetically related to D. cervi. Three individuals, detected from both study sites and assigned to an undescribed Dictyocaulus sp., clustered with Dictyocaulus specimens isolated from red deer and fallow deer in previous studies. Within each of D. cervi and the undescribed Dictyocaulus sp., the newly isolated nematodes phylogenetically clustered based on their geographical origin. This study revealed the presence of D. cervi in Italian red deer, and an undetermined Dictyocaulus sp. that should be more deeply investigated. The results suggest that further analyses should be focused on population genetics of cervids and their lungworms to assess how they evolved, or co-evolved, throughout time and space and to assess the potential of transmission towards farmed animals. [ABSTRACT FROM AUTHOR]

BackgroundLeishmania donovani is the etiological agent of visceral leishmaniasis (VL) in the Indian subcontinent. However, it is also known to cause cutaneous leishmaniasis (CL) in Sri Lanka. Sri Lankan L. donovani differs from other L. donovani strains, both at the molecular and biochemical level. To investigate the different species or strain-specific differences of L. donovani in Sri Lanka we evaluated sequence variation of the kinetoplastid DNA (kDNA).MethodsParasites isolated from skin lesions of 34 CL patients and bone marrow aspirates from 4 VL patients were genotyped using the kDNA minicircle PCR analysis. A total of 301 minicircle sequences that included sequences from Sri Lanka, India, Nepal and six reference species of Leishmania were analyzed.ResultsHaplotype diversity of Sri Lankan isolates were high (H d  = 0.757) with strong inter-geographical genetic differentiation (F ST  > 0.25). In this study, L. donovani isolates clustered according to their geographic origin, while Sri Lankan isolates formed a separate cluster and were clearly distinct from other Leishmania species. Within the Sri Lankan group, there were three distinct sub-clusters formed, from CL patients who responded to standard antimony therapy, CL patients who responded poorly to antimony therapy and from VL patients. There was no specific clustering of sequences based on geographical origin within Sri Lanka.ConclusionThis study reveals high levels of haplotype diversity of L. donovani in Sri Lanka with a distinct genetic association with clinically relevant phenotypic characteristics. The use of genetic tools to identify clinically relevant features of Leishmania parasites has important therapeutic implications for leishmaniasis.

Twenty-four samples of differently produced commercial Italian cider were analyzed for their polyphenols profile and antioxidant activity. A partial least square regression was used to correlate the ciders’ antioxidant activity with their polyphenolic content. Statistical analyses revealed only a clustering pattern in the samples based on their geographical area of production (North-West, NW, vs. North-East, NE). Indeed, NW ciders, compared to NE ones, showed higher antioxidant activity and higher contents of procyanidin B1, catechin, chlorogenic acid, epicatechin, and total polyphenols. On the contrary, no clear-cut clustering pattern determined by cidermaking procedures (i.e., Charmat or Champenoise method) has been observed. These data suggest that the differences observed between NW and NE ciders might be accounted uniquely to the use of different apple varieties and/or the maturation status, as well as the pedoclimatic conditions of their production areas and not for cellar procedures’ specificity.

Following an incidence of Legionnaires disease (LD) in 2007, where a municipal shower system was the likely source of infection, Stavanger municipality initiated a surveillance program for Legionella as part of establishing internal risk evaluation and prevention routines. More than 250 shower systems were examined for cultivatable Legionella pneumophila. The prevalence and diversity of serogroups (sg) and sequence types (STs) of L. pneumophila were mapped using available typing techniques over a period of more than 10 years (2010–2021). The surveillance showed an overall reduction in the L. pneumophila colonisation rate in municipal systems from 11 to 4.5% following prevention measures during the period, with the highest colonisation rate in complex systems (e.g., larger nursing homes and sports complexes). Further, an approximately even distribution between sg1 and 2–14 was seen. Whole genome sequencing (WGS) revealed that only a limited number of STs were detected, and they were consistent at specific locations over time. This study showed that environmental surveillance data in combination with available typing techniques and WGS can give the municipality a better tool for risk management and an overview of ST distributions that can be a valuable asset in future source investigations. [ABSTRACT FROM AUTHOR]

Following an incidence of Legionnaires disease (LD) in 2007, where a municipal shower system was the likely source of infection, Stavanger municipality initiated a surveillance program for Legionella as part of establishing internal risk evaluation and prevention routines. More than 250 shower systems were examined for cultivatable Legionella pneumophila. The prevalence and diversity of serogroups (sg) and sequence types (STs) of L. pneumophila were mapped using available typing techniques over a period of more than 10 years (2010–2021). The surveillance showed an overall reduction in the L. pneumophila colonisation rate in municipal systems from 11 to 4.5% following prevention measures during the period, with the highest colonisation rate in complex systems (e.g., larger nursing homes and sports complexes). Further, an approximately even distribution between sg1 and 2–14 was seen. Whole genome sequencing (WGS) revealed that only a limited number of STs were detected, and they were consistent at specific locations over time. This study showed that environmental surveillance data in combination with available typing techniques and WGS can give the municipality a better tool for risk management and an overview of ST distributions that can be a valuable asset in future source investigations.

Abstract Background Leishmania donovani is the etiological agent of visceral leishmaniasis (VL) in the Indian subcontinent. However, it is also known to cause cutaneous leishmaniasis (CL) in Sri Lanka. Sri Lankan L. donovani differs from other L. donovani strains, both at the molecular and biochemical level. To investigate the different species or strain-specific differences of L. donovani in Sri Lanka we evaluated sequence variation of the kinetoplastid DNA (kDNA). Methods Parasites isolated from skin lesions of 34 CL patients and bone marrow aspirates from 4 VL patients were genotyped using the kDNA minicircle PCR analysis. A total of 301 minicircle sequences that included sequences from Sri Lanka, India, Nepal and six reference species of Leishmania were analyzed. Results Haplotype diversity of Sri Lankan isolates were high (H d = 0.757) with strong inter-geographical genetic differentiation (F ST > 0.25). In this study, L. donovani isolates clustered according to their geographic origin, while Sri Lankan isolates formed a separate cluster and were clearly distinct from other Leishmania species. Within the Sri Lankan group, there were three distinct sub-clusters formed, from CL patients who responded to standard antimony therapy, CL patients who responded poorly to antimony therapy and from VL patients. There was no specific clustering of sequences based on geographical origin within Sri Lanka. Conclusion This study reveals high levels of haplotype diversity of L. donovani in Sri Lanka with a distinct genetic association with clinically relevant phenotypic characteristics. The use of genetic tools to identify clinically relevant features of Leishmania parasites has important therapeutic implications for leishmaniasis.

The paper analyses how geographical clustering of beneficiaries might affect the effectiveness of public innovation support programs. The geographical proximity of firms operating in the same industry or field of technology is expected to facilitate innovation through knowledge spillovers and other localization advantages. Public innovation support programs may leverage these advantages by focusing on firms that operate in a cluster. We investigate this link using data from a large German program that co-funds R&D projects of SMEs in key technology areas called 'Innovative SMEs'. We employ three alternative cluster measures which capture industry, technology and knowledge dimensions of clusters. Regardless of the measure, firms located in a geographical cluster are more likely to participate in the program. Firms being part of a knowledge-based cluster significantly increase their chance of receiving public financial support. We find no effects, however, of geographical clustering on the program's effectiveness in terms of input or output additionality. [ABSTRACT FROM AUTHOR]

Tree peony (Paeonia suffruticosa Andr.), considered by many to be the national flower of China, is famous for its ornamental, medicinal and culinary attributes. In this study, a total of 8,663 Simple Sequence Repeats (SSRs) were detected by means of a microsatellite search of unigene sequences identified from the de novo assembly of sequence data from different genotypes of tree peony from the Zhongyuan group. Among 100 randomly selected SSR markers, 25 were successfully amplified and showed polymorphism in 31 tree peony accessions. The number of polymorphic alleles ranged from 3 to 11 for each locus and the polymorphism information content value (PIC) ranged from 0.58 to 0.85, with a mean of 0.73, indicating a high level of discriminative capability. To analyse the genetic diversity, a phylogenetic tree was constructed, which demonstrated that tree peonies of similar flower colour were clustered together. The large number of tree peony SSR markers identified in this study will be valuable in studies in genetic diversity and linkage map construction, in gene localisation and cloning and in molecular-marker-assisted breeding in tree peony. [ABSTRACT FROM AUTHOR]

The increasing interest in agro-environmental management entails having tools to assess, monitor and map agro-environmental functions (AEFs) in different regional contexts. In Europe, decision-making in agro-environmental policies generally targets single functions instead of multiple ones and rarely considers the regional variability of agricultural or geo-physical conditions that may influence the fulfillment of functions. We propose and test a method to assess the potential of farming regions to fulfill a set of AEFs. The method was applied in the 'Collina interna grossetana' farming region (Italy) and concerned three functions: protection of surface water from nitrates, protection of soil from erosion, and conservation of landscape diversity. These functions were qualified and mapped using various geo-physical and land cover descriptors from common geographical datasets. All of the descriptors were combined using geographical cluster analysis to identify their contribution to the three functions, and thus to assess the potential of the farming region to fulfill these functions. Three levels of potential were calculated, according to the more or less favorable fulfillment of soil and water functions. No totally favorable contribution to the functions was identified in the studied area. Moreover, we mapped the spatial patterns obtained for the different levels of potential. The landscape diversity function was found to be the least variable in the study area, while different patterns were identified for the other functions. In fact, the northern and central sections of the study region were organized more in the form of large core areas of different levels of potential, whereas the southern section presented more boundary areas, small core areas and isolated pixels. The method may help to establish local priorities in agro-environmental management pointing out where the set of functions is completely or partially fulfilled, as well as where and how it is more or less necessary to focus support measures afforded by environmental policies. Such information could help to palliate the current poor consideration of the spatial variability of functions in regional policies. [ABSTRACT FROM AUTHOR]

Abstract: This study is the first to investigate neighborhood clustering of a personality trait – cynical hostility (a sense of mistrust of others amplified by suspicious antagonism.) Cynical hostility increases physiological reactivity by influencing appraisal and coping when stressful events occur and that has been well established as a predictor of cardiovascular disease, inflammation, and all-cause mortality. The analysis examines the associations of a variety of neighborhood physical and social conditions (especially ambient stressors) with individual cynical hostility, controlling for individual sociodemographics. Data are from the Chicago Community Adult Health Survey, a clustered population-based study of 3105 adults. Variation by neighborhood in cynical hostility is larger than variation of other selected health outcomes, which are commonly studied using ecological methods or for other personality measures. Controlling for neighborhood context reduces the black/white cynical hostility disparity by one-third. A measure of neighborhood ambient stressors (notably noise) significantly predicts cynical hostility, even after individual characteristics are controlled, and the effect size is larger than for other contextual predictors. Health-related psychosocial and personality traits may both cluster in and be influenced by contemporaneous neighborhoods rather than mere exogenous results of genes or early life conditions. Health-relevant psychosocial characteristics may also mediate effects of neighborhood deleterious physical conditions, thereby influencing downstream health outcomes and social disparities therein. Because residential location and neighborhood physical conditions are both modifiable, research on how ambient stressors influence health psychology may be particularly fruitful for health policy and practice. [Copyright &y& Elsevier]

• Hantaan virus showing geographical clustering in the Republic of Korea. • Geographical variation presenting genetic divergence of Hantaan virus. • Genetic divergence indicates the emergence of new Hantavirus strains. • High hantavirus prevalence and seasonal variation in A. agrarius captured from Jeju. Several studies on hantavirus evolution have shown that genetic reassortment plays an important role in the evolution and epidemiology of this disease. To understand the genetic epidemiology of human hantaviruses, samples from rodent reservoirs were subjected to reverse-transcription nested polymerase chain reaction (RT-N-PCR) targeting the L - and S-segments of the hantavirus genome. Positive isolates from Gwangju, Boseong-gun (Jeollanam-do Province), and Jeju Island were confirmed as Hantaan virus using DNA sequencing. Phylogenetic analysis showed that all isolates grouped together as Hantaan virus but with each region forming a distinct cluster. In addition, these three clusters were distinct from other Hantaan isolates reported in previous studies from Korea and its neighboring countries China and Russia. This suggests Hantaan viruses exhibit a considerable degree of geographical clustering, and there may be a novel Hantaan genotype in southwestern ROK. This study helps expand our knowledge regarding the emergence of new hantavirus strains and their degree of geographical variation. Hantaan virus, a pathogenic prototype hantavirus carried by Apodemus agrarius , is found throughout China, Russia, and Korea. Here, we examined the genetic diversity of hantaviruses to expand our knowledge regarding the emergence of new hantavirus strains and their degree of geographical variation. We found that hantaan viruses show a considerable degree of geographical clustering, which may allude to the development of a new genotype variant in the southwestern region of the ROK. [ABSTRACT FROM AUTHOR]

The recycling of e-waste by the informal sector has brought countries in the Global South raw materials (e.g. metals and plastics), second-hand electronic equipment and components, and economic opportunities in conjunction with appalling environmental pollutions and health problems. Despite the longstanding international and national legislation regulating transnational trade and domestic recycling, informal e-waste economies are still clustering in many Global South countries. This study offers historically and geographically specific explanations of this conundrum, by interrogating the multi-scalar regulatory frameworks in which the informal e-waste economies and their pollutions are embedded, by drawing on China, particularly the former global e-waste hub-Guiyu town, as the case study. We argue that the contested and problematic application of current international and national legislation in regulating e-waste is in part pertaining to the slippery definition of what counts as "e-waste" and its paradoxical nature as both resources and pollutants. At the global scale, trajectories of global e-waste flows are shaped by the multitude of loopholes, contradictions and ambiguous articles left by the Basel Convention and by different countries' disparate attitudes towards the e-waste trade. At the national scale, the ambiguities and contradictions in the Basel Convention have been passed on to and shaped China's national e-waste regulatory frameworks. China's equivocal legislation, paradoxical attitude, and formal enterprises' weak competence contribute to the rise of informal e-waste recycling in Guiyu. Yet, China's e-waste regime has been greatly restructured within the past decade, with formal recycling enterprises playing an increasingly significant role.

Introduction: Variation in the proportion of individuals living in a stable HIV sero-discordant partnership (SDP), and the potential drivers of such variability across sub Saharan Africa (SSA), are still not well-understood. This study aimed to examine the spatial clustering of HIV sero-discordancy, and the impact of local variation in HIV prevalence on patterns of sero-discordancy in high HIV prevalence countries in SSA., Methods: We described the spatial patterns of sero-discordancy among stable couples by analyzing Demographic and Health Survey data from Cameroon, Kenya, Lesotho, Tanzania, Malawi, Zambia, and Zimbabwe. We identified spatial clusters of SDPs in each country through a Kulldorff spatial scan statistics analysis. After a geographical cluster was identified, epidemiologic measures of sero-discordancy were calculated and analyzed., Results: Spatial clusters with significantly high numbers of SDPs were identified and characterized in Kenya, Malawi, and Tanzania, and they largely overlapped with the clusters with high HIV prevalence. There was a positive correlation between HIV prevalence and the proportion of SDPs among all stable couples across within and outside clusters. Conversely, there was a negative, but weak and not significant, correlation between HIV prevalence and the proportion of SDPs among all stable couples with at least one HIV-infected individual in the partnership., Discussion: There does not appear to be distinct spatial patterns for HIV sero-discordancy that are independent of HIV prevalence patterns. The variation of the sero-discordancy measures with HIV prevalence across clusters and outside clusters demonstrated similar patterns to those observed at the national level. The spatial variable does not appear to be a fundamental nor independent determinant of the observed patterns of sero-discordancy in high HIV prevalence countries in SSA., Competing Interests: The authors declare no conflict of interest.

Objective: To understand the geographical features of malaria in Yunnan Province, so as to provide the reference for malaria elimination., Methods: The data of malaria in Yunnan Province from 2012 to 2015 were collected and analyzed., Results: Totally 2 586 malaria cases were reported in Yunnan Province from 2012 to 2015, in which 274 (10.60%) were local cases and 2 311 (89.37%) were abroad imported, and one (0.03%) was domestic imported. The imported malaria cases and local cases were analyzed according to the sources and locations respectively, and the arithmetic means of the numbers of imported and local cases were 96.29 and 10.96 respectively, the standard deviations of the numbers of imported and local cases were 421.18 and 19.12 respectively, and the difference of the means was not significant ( Z = - 0.326, P > 0.10). Both the imported and local malaria cases could be clustered into five sections by the number of 5. The Herfendal-Hirshman indexes of the imported and local malaria cases were 8 121 and 1 598 respectively., Conclusions: There is no significant difference of the distribution between the imported and local malaria cases, and they should be attaching equal importance. The non-uniform degree of imported cases is higher than that of the local cases, while both of them could be divided into five major clusters in the prevention and control work.