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This paper's aim is to identify whether community‐level socioeconomic status (SES) predicts: screening test for pre‐diabetes; actual diagnosis of pre‐diabetes; or nutritional counseling.

This is an analysis of 1,348,124 insured adults receiving medical care from Maccabi Healthcare Services (MHS) in 107 MHS clinics throughout Israel. The research population comprised 79 percent of the MHS members over 18 years of age in 2004‐2006. Area level socioeconomic data were drawn from the Israel Central Bureau of Statistics SES index for every geographical area and each MHS clinic in the study was coded from: −1.03 to 2.73 (−1.03 indicating low SES and 2.73+ high SES) according to the SES index for the location. The fasting glucose laboratory test was used for analysis. Pre‐diabetes diagnosis was based on a fasting glucose above 100 mg/dl. Nutritional counseling was defined by dietitian visits in the claims database.

The percentage of insured individuals who underwent blood glucose testing during the study increased with age from 67 percent at ages 18‐45 to 92 percent for age 65 and over. The percentage of individuals diagnosed with pre‐diabetes also increased with age, rising from 4 percent in the younger group to 14 percent in those aged 46‐65 and to 14‐16 percent of 65 and older. The percentage of individuals with pre‐diabetes who visited a dietitian was 16‐27 percent for those under 65 and 14‐17 percent for those over 65 (males and females, respectively). Individuals living in lower socioeconomic areas were less likely to have blood tests. Among tested patients, the prevalence of pre‐diabetes was higher in areas of lower SES and their dietitian visits were less frequent.

In lower SES index areas, there is a need for better identification and treatment of patients.

The paper shows that a proactive approach is needed both to detect pre‐diabetes and to encourage patients to receive nutritional treatment.

The unseen benefit of the COVID-19 pandemic in Nigeria is that it presented an insight into the contributions of the manufacturing industry to the socio-economic development of the nation. During the pandemic, the unavailability of Personal Protective Equipment (PPE) have demonstrated the low production capability of the Nigerian manufacturing industry to provide essential materials and equipment required by the health sector. This availability of these facilities is vital for the sustenance of public health and lives of frontline health workers. Consequently, this challenge resulted in an increase in infection and deaths of frontline health workers which could have minimized if there were adequate provision of PPE local production. Hence, this study postulates that the COVID-19 pandemic is an entrepreneurial opportunity in Nigeria, especially for the mass production of PPE to service the health sector of Nigeria and sub-Saharan Africa. The study therefore investigated the challenges of entrepreneurship in Nigeria's manufacturing industry and examined how the strategic partnership between educational institutions, corporate bodies and the government can be optimized. Utilizing a qualitative research methodology based on scholarly journals and interview sessions, the study revealed that Nigeria's manufacturing capability is low due to Nigeria's age-long protectionist tendency, lack of integration of entrepreneurship skill in the industry, inadequate knowledge of financial knowledge, lack of synergy in the industry, among others. The study recommended a strategic framework for Nigeria's manufacturing industry for the production of PPE in form of a helix model after an overhauling of the production process of the industry.

It has often been said that a great part of the strength of Aslib lies in the fact that it brings together those whose experience has been gained in many widely differing fields but who have a common interest in the means by which information may be collected and disseminated to the greatest advantage. Lists of its members have, therefore, a more than ordinary value since they present, in miniature, a cross‐section of institutions and individuals who share this special interest.

The oil and gas industry has developed in south Louisiana over the last hundred years, first in the salt domes and coastal marshes, then out onto the Outer Continental Shelf, and most recently in the deep and ultradeep waters off the shelf. Communities such as New Iberia and Morgan City have grown with the cyclical industry, experiencing prosperous upturns and difficult downturns. Many of the forces these communities have to contend with are outside their control, including the effects of globalization and corporate restructuring common to advanced capitalism. This paper provides an overview of communities and capitalism in south Louisiana.

The purpose of this work is to study how different stakeholders of a football club engage with interactions online through Twitter. It analyses the football club’s Twitter network to discover influential actors and the topic of interest in their online communication.

The authors analysed the social networks derived from over two million tweets collected during football matches played by Manchester United. The authors applied social network analysis to discover influencers and sub-communities and performed content analysis on the most popular tweets of the prominent influencers.

Sub-communities can be formed around current affairs that are irrelevant to football, perhaps due to opportunistic attempts of using the large networks and massive attention during football matches to disseminate information. Furthermore, the popularity of tweets featuring different topics depends on the types of influencers involved.

The methods can help football clubs develop a deeper understanding of their online social communities. The findings can also inform football clubs on how to optimise their communication strategies by using various influencers.

Compared to previous research, the authors discovered a wide range of influencers and denser networks characterised by a smaller number of large clusters. Interestingly, this study also found that bots appeared to become influential within the network.