ICTs and the Localisation of the Sustainable Development Goals

The United Nations Sustainable Development Goals (SDGs) are universally seen to be global in their nature and reach, but there is a growing acceptance that they have an important local dimension. At the same time, there is an increasing recognition of the need for appropriate Information and Communication Technologies (ICTs) to support and monitor the SDGs. This article adopts a qualitative inductive research approach in examining a range of public authority and academic source material, and framework analysis is used to record, categorise and critique this material. The findings provide an overview of the role of the SDGs at the local level and an assessment of how the localisation of the SDGs is being addressed in some urban areas within Western Europe. The findings also indicate how ICTs are being deployed to support the localisation process in Western Europe and the wider world. This is followed by a discussion of some emergent issues related to the localisation of the SDGs, including the increasingly important role of ICTs.

Local immune response of Canarian Majorera goats infected with Teladorsagia circumcincta

Background Due to increased anthelmintic resistance, alternative methods to drugs are necessary to control gastrointestinal nematodes (GINs). Some of the most promising alternatives are based on the immune response of the host, such as the selection of genetically resistant breeds or the use of vaccines against these parasites. Given the limited information available on the immune response against GINs in goats, this study investigated the local immune response of goat kids of an indigenous Canary Islands breed (Majorera breed) experimentally infected with Teladorsagia circumcincta, one of the most pathogenic and prevalent GIN species. Methods For this purpose, the relationship between different parasitological (number of mature and immature worms, worm length, and number of intrauterine eggs) and immunological parameters at the local level (related to both the humoral and cellular immune response) was analyzed at early (1 week post-infection [wpi]) and late (8 wpi) stages of infection. Results Primary infection of goat kids with T. circumcincta infective larvae (L3) generated a complex immune response that could be defined as Th2 type, characterized by increased infiltration in abomasal tissues of several effector cells as well as a progressive presence of specific antibodies against parasitic antigens in the gastric mucus. Cellular responses were evidenced from 1 wpi onward, showing an increase in antigen-presenting cells and various lymphocyte subsets in the gastric mucosa. Conclusions The complexity of the host response was evidenced by statistically significant changes in the number of all these subpopulations (MHCII+, CD4+, CD8+, γδ+, CD45R+, IgA+, and IgG+), as well as in the evolution of the relative cytokine gene expression. From a functional point of view, negative associations were observed between the number of most of the immune cells (CD4, IgA, IgG, and CD45R cells) and parameters that could be related to the fecundity of worms, a phenomenon that was especially evident when the number of IgG and CD45R cells or the specific IgA levels of the gastric mucus were compared with parasitological parameters such as the female worm length or fecal egg counts at 8 wpi. Graphical Abstract

An AI/ML-Based Strategy for Disaster Response and Evacuation of Victims in Aged Care Facilities in the Hawkesbury-Nepean Valley: A Perspective

The Hawkesbury-Nepean Valley, Australia’s longest coastal catchment, is spanned by a river system of more than 470 km, that runs from Goulburn to Broken Bay, covering a total area of over 2.2 million hectares. This region has remained prone to flood events, with considerable mortalities, economic impacts and infrastructural losses occurring quite regularly. The topography, naturally variable climatic conditions and the ‘bathtub’ effect in the region are responsible for the frequent flood events. In response, the Government at the national/federal, state and local level has focused on the design of efficient flood risk management strategies with appropriate evacuation plans for vulnerable communities from hospitals, schools, childcare and aged care facilities during a flood event. Despite these overarching plans, specialized response and evacuation plans for aged care facilities are critical to reducing the loss incurred by flood events in the region. This is the focus of this present paper, which reviews the history of flood events and responses to them, before examining the utilization of artificial intelligence (AI) techniques during flood events to overcome the flood risks. An early flood warning system, based on AI/Machine Learning (ML) strategy is being suggested for a timely decision, enhanced disaster prediction, assessment and response necessary to overcome the flood risks associated with aged care facilities within the Hawkesbury-Nepean region. A framework entailing AI/ML methods for identifying the safest route to the destination using UAV and path planning has been proposed for timely disaster response and evacuation of the residents of aged care facilities.

Association between county-level risk groups and COVID-19 outcomes in the United States: a socioecological study

Background Geographic heterogeneity in COVID-19 outcomes in the United States is well-documented and has been linked with factors at the county level, including sociodemographic and health factors. Whether an integrated measure of place-based risk can classify counties at high risk for COVID-19 outcomes is not known. Methods We conducted an ecological nationwide analysis of 2,701 US counties from 1/21/20 to 2/17/21. County-level characteristics across multiple domains, including demographic, socioeconomic, healthcare access, physical environment, and health factor prevalence were harmonized and linked from a variety of sources. We performed latent class analysis to identify distinct groups of counties based on multiple sociodemographic, health, and environmental domains and examined the association with COVID-19 cases and deaths per 100,000 population. Results Analysis of 25.9 million COVID-19 cases and 481,238 COVID-19 deaths revealed large between-county differences with widespread geographic dispersion, with the gap in cumulative cases and death rates between counties in the 90th and 10th percentile of 6,581 and 291 per 100,000, respectively. Counties from rural areas tended to cluster together compared with urban areas and were further stratified by social determinants of health factors that reflected high and low social vulnerability. Highest rates of cumulative COVID-19 cases (9,557 [2,520]) and deaths (210 [97]) per 100,000 occurred in the cluster comprised of rural disadvantaged counties. Conclusions County-level COVID-19 cases and deaths had substantial disparities with heterogeneous geographic spread across the US. The approach to county-level risk characterization used in this study has the potential to provide novel insights into communicable disease patterns and disparities at the local level.

Coordinating nominations: how to deal with an incumbent surplus after electoral reform

How do parties and candidates react to electoral system reform? While the literature on causes and consequences of electoral reforms is receiving increasing attention, we lack a systematic micro-level account on how parties and candidates adopt to changes in electoral rules and district boundaries. This paper examines the case of the Japanese Liberal Democrats to explore how the party has managed to accommodate a surplus of incumbents to a reduced number of nominal tier seats following the 1994 electoral reform. By using micro-level data, I examine how the Liberal Democratic Party (LDP) has matched candidates based on their expected electoral strength and ideological positioning to new districts. Moreover, I investigate how the newly instituted party-list allowed the LDP to avoid its disintegration at the local level by systematically defusing local stand-offs through the handing out of promising list positions. My findings help to understand how the LDP could avoid its disintegration and could continue to dominate Japanese politics until today.

Spatiotemporal Associations between Local Safety Level Index and COVID-19 Infection Risks across Capital Regions in South Korea

This study aims provide understanding of the local-level spatiotemporal evolution of COVID-19 spread across capital regions of South Korea during the second and third waves of the pandemic (August 2020~June 2021). To explain transmission, we rely upon the local safety level indices along with latent influences from the spatial alignment of municipalities and their serial (temporal) correlation. Utilizing a flexible hierarchical Bayesian model as an analytic operational framework, we exploit the modified BYM (BYM2) model with the Penalized Complexity (PC) priors to account for latent effects (unobserved heterogeneity). The outcome reveals that a municipality with higher population density is likely to have an elevated infection risk, whereas one with good preparedness for infectious disease tends to have a reduction in risk. Furthermore, we identify that including spatial and temporal correlations into the modeling framework significantly improves the performance and explanatory power, justifying our adoption of latent effects. Based on these findings, we present the dynamic evolution of COVID-19 across the Seoul Capital Area (SCA), which helps us verify unique patterns of disease spread as well as regions of elevated risk for further policy intervention and for supporting informed decision making for responding to infectious diseases.

Place-Specific Corona Dashboards for Health Policy: Design and Application of a ‘Dutchboard’

Since the outbreak of the corona virus in the end of 2019, many worldwide attempts have been made to monitor and control the COVID-19 pandemic. A wealth of empirical data has been collected and used by national health authorities to understand and mitigate the spread and impacts of the corona virus. In various countries this serious health concern has led to the development of corona dashboards monitoring the COVID-19 evolution. The present study aims to design and test an extended corona dashboard, in which—beside up-to-date daily core data on infections, hospital and intensive care admissions, and numbers of deceased people—also the evolution of vaccinations in a country is mapped out. This dashboard system is next extended with time-dependent contextual information on lockdown and policy stringency measures, while disaggregate information on the geographic spread of the COVID-19 disease is provided by means of big data on contact intensity and mobility motives based on detailed Google Mobility data. Finally, this context-specific corona dashboard, named ‘Dutchboard’, is further extended towards the regional and local level so as to allow also for space-specific ‘health checks’ and assessments.

Evaluation of Positive Socio-Economic Phenomena in Territorial Systems of Ecological Stability (Case Study)

One of the active tools that increase the ecological stability of a country are projects related to territorial systems of ecological stability (TSES). An important part of the elaboration of TSES projects is also the evaluation of positive socio-economic phenomena (PSEP). Their evaluation is important for the design of measures that will ensure its proper functioning. The PSEP enter, the spatial system as elements that fulfill important ecological functions and help preserve the natural resources, gene pool, ecological stability and diversity of the landscape. Therefore, it is necessary to maintain their functions in the future. The theoretical and methodological basis for the evaluation of PSEP within TSES is the LANDEP methodology. They are not unique in the area, and they can occur in various combinations. Based on varied combinations of positive phenomena ensuing from nature conservation, protection of water sources, forest and soil sources, mineral resources and cultural or historical resources there are various types of territories with different landscape ecological significance and different ecological stability. The resulting combinations are a limiting input for the proposed activities and must be respected when processing ecostabilization measures within TSES projects. The presented study presents a landscape ecological evaluation of socio-economic phenomena of nature protection and natural resources in a project of the local system of ecological stability which was developed for the agriculturally intensively used area of Dolný Lopašov. It assesses the legal status of the territory and specifies and spatially expresses areas with different representations of important landscape elements which come under legislative protection. Based on the occurrence, abundance, character and combinations of PSEP occurring in the cadastral area of the commune Dolný Lopašov, this specifies 8 degrees of landscape ecological significance. Significance categories form the basis for the overall classification of the territory required for the processing of TSES projects at the local level. The obtained results must be applied to the proposals of measures to increase ecological stability, especially in the central and southern part of the cadastral area of the commune Dolný Lopašov.