Mitigating Ethno-Cultural Differences Ethical Guidelines for ICT Development in an Indigenous Community

Community engagement is necessary for the success and sustainability of Information and Communication Technologies for Development (ICT4D) projects. To ensure active participation of community, researchers need to understand and adhere to the local cultural norms and adapt in the lifestyle of people. These cultural norms are mainly unwritten and implicit in nature. Hence the researchers spend maximum time of their field visits in observing and developing understanding of the community's life. In our long-term partnership with the indigenous Penan community of Long Lamai in Malaysian Borneo, we co-developed written guidelines for researchers and visitors. The researchers demonstrated their interest in aligning research process to the community's cultural values, however norm internalisation and development of associated behaviour is still a challenging. The written guidelines are yet only one of the attempts to the practices of community researchers' engagement and we are refining our methodology to enhance the researchers' learning process

A Critical Discourse Analysis of News in Media about Rape Victims in Pakistan

This study aims to investigate the discourse in news coverage, specifically focusing on the reporting of rape cases, with a particular focus on victim blaming and fact-hiding in the Pakistani media discourse. Drawing on the Van Dijk model of Critical Discourse Analysis (CDA), the study intends to unveil biases or power inequalities deep rooted in the structure and management of news reporting discourse. The research seeks to ascertain whether media outlets employ deceptive language to conceal the reality in reporting on rape cases, the influence of victim blaming on readers’ perception, and how the news media copes with the reporting of rape incidents. Data collection involves analysis of news articles from five well-known Pakistani publications: The Dawn News, ARY News, Dunya News, Geo News, and the Express Tribune particularly focusing on the "Zainab\u27s Murder and Rape Case." The analysis highlights instances of deletion, word choice, hiding identity, and lack of mention of police action, which contribute to the manipulation of information in news reports. The results of the study shed light on the biased description of rape incidents in the Pakistani media, fanning victim blame and rape lores. The study stresses the need for unbiased and truthful reporting of sexual assault incidents, ensuring that the experiences of victims are accurately portrayed. By uncovering the manipulation and biases in the Pakistani news media, this research contributes to a better understanding of the discourse patterns surrounding rape cases and the potential impact on public attitudes towards victims. &nbsp

Social Media in Virtual Marketing

Social media usage in the world and especially in Pakistan has a high growth due to which it (social media) has a potential of becoming an effective marketing tool. Despite its comparatively low cost and significance, marketers are not effectively utilizing social media. Thus the aim of this study is to measure the influence (effect) of four social variables: social capital, trust, homophily and interpersonal influence on electronic word of mouth (eWOM) communication. The sample size for the study is 300 and preselected enumerator’s collected the data from the leading shopping malls of the city. Although the scales and measures adopted for this study have been earlier validated in other countries, however the same were re-ascertained on the present set of data. After preliminary analysis, including normality and validity the overall model was tested through Structural Equation Model (SEM). This was carried out in two stages - initially CFA for all the constructs was ascertained which was followed by CFA of the overall model. Developed conceptual framework was empirically tested on the present set of data in Pakistan which adequately explained consumer attitudinal behavior towards electronic word of mouth (eWOM) communication. Three hypotheses failed to be rejected and one was rejected. Trust was found to be the strongest predictor of electronic word of mouth (eWOM) communication, followed by homophily and social capital. Interpersonal influence has no relationship with electronic word of mouth (eWOM) communication. The results were consistent to earlier literature. Implication for markers was drawn from the results

Rise of Digital Media to Triumph Brand Loyalty

Modern era of management has seen a rise in the level of customer engagement, which was not that much of importance earlier. Earlier, brands tend to compete on the products or service they offer. In the recent digital era, it is much more than what a brand has to offer. The emergence of digital media has boosted the importance of customer engagement. Now, customers can easily get in touch with the companies through digital channels. Corporations use these channels to let customers aware about their offerings, ask for suggestions and recommendations, and solve the queries of the customers. This research is focus on ascertaining the relationship between customer engagement, customer satisfaction, and customer loyalty, and to identify how these factors impacts the repeat purchases in telecommunication sector. The research is based on descriptive research design; quantitative research design was trailed for questionnaire developing 5-point Likert scale technique

Social Media in Virtual Marketing: Antecedents to Electronic Word of Mouth Communication

Social media usage in the world and especially in Pakistan has a high growth due to which it (social media) has a potential of becoming an effective marketing tool. Despite its compar-atively low cost and significance, marketers are not effectively utilizing social media. Thus the aim of this study is to measure the influence (effect) of four social variables: social capital, trust, homophily and interpersonal influence on electronic word of mouth (eWOM) communi-cation. The sample size for the study is 300 and preselected enumerator's collected the data from the leading shopping malls of the city. Although the scales and measures adopted for this study have been earlier validated in oth-er countries, however the same were re-ascertained on the present set of data. After prelimi-nary analysis including normality and validity the overall model was tested through Structural Equation Model (SEM). This was carried out in two stages - initially CFA for all the constructs was ascertained which was followed by CFA of the overall model. Developed conceptual framework was empirically tested on the present set of data in Pa-kistan which adequately explained consumer attitudinal behavior towards electronic word of mouth (eWOM) communication. Three hypotheses failed to be rejected and one was rejected. Trust was found to be the strongest predictor of electronic word of mouth (eWOM) communi-cation, followed by homophily and social capital. Interpersonal influence has no relationship with electronic word of mouth (eWOM) communication. The results were consistent to earlier literature. Implication for markers was drawn from the results.Keywords: eWOM, social capital, trust, homophily and interpersonal influence, social medi

Using Sketches to Communicate Interaction Protocols of an Indigenous Community, In : Proceedings of the 14th Participatory Design Conference: Short Papers, Interactive Exhibitions, Workshops

Being engaged in long term collaborations with indigenous communities requires a continuous adjustment of interaction protocols beyond set projects. Although the Long Lamai community in Malaysia developed a detailed cultural protocol for guest researchers, numerous conflicts were still recorded. In this paper we present our most recent approach to overcome the cross-cultural communication gaps using sketches, as developed by the local community members. We present a validation session that took place between the community members and guest researchers. We confirm the success of the sketch session, as guest researchers followed the underlying themes of the interaction protocols and internalised the concepts

Social sustainable supply chains in the food industry: A perspective of an emerging economy

The purpose of this study is to identify a list of important social sustainable supply chain indicators and determine the cause and effect group from the food sector of an emerging economy of Pakistan. The Decision-Making Trial and Evaluation Laboratory (DEMATEL) based methodology is introduced to aid the evaluation of these indicators. The results show that the “balance between work and life” is the topmost influential and cause indicator among the cause group indicators. Similarly, a “safe and healthy working environment” is the topmost effect indicator among the effect group indicators. These results will inform managers and policy makers in the food sector, especially from the emerging economies such as Pakistan to formulate strategies that could aid in advancing social sustainability and transitioning towards a truly sustainable supply chain

Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Background: Detailed, comprehensive, and timely reporting on population health by underlying causes of disability and premature death is crucial to understanding and responding to complex patterns of disease and injury burden over time and across age groups, sexes, and locations. The availability of disease burden estimates can promote evidence-based interventions that enable public health researchers, policy makers, and other professionals to implement strategies that can mitigate diseases. It can also facilitate more rigorous monitoring of progress towards national and international health targets, such as the Sustainable Development Goals. For three decades, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) has filled that need. A global network of collaborators contributed to the production of GBD 2021 by providing, reviewing, and analysing all available data. GBD estimates are updated routinely with additional data and refined analytical methods. GBD 2021 presents, for the first time, estimates of health loss due to the COVID-19 pandemic. Methods: The GBD 2021 disease and injury burden analysis estimated years lived with disability (YLDs), years of life lost (YLLs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries using 100 983 data sources. Data were extracted from vital registration systems, verbal autopsies, censuses, household surveys, disease-specific registries, health service contact data, and other sources. YLDs were calculated by multiplying cause-age-sex-location-year-specific prevalence of sequelae by their respective disability weights, for each disease and injury. YLLs were calculated by multiplying cause-age-sex-location-year-specific deaths by the standard life expectancy at the age that death occurred. DALYs were calculated by summing YLDs and YLLs. HALE estimates were produced using YLDs per capita and age-specific mortality rates by location, age, sex, year, and cause. 95% uncertainty intervals (UIs) were generated for all final estimates as the 2·5th and 97·5th percentiles values of 500 draws. Uncertainty was propagated at each step of the estimation process. Counts and age-standardised rates were calculated globally, for seven super-regions, 21 regions, 204 countries and territories (including 21 countries with subnational locations), and 811 subnational locations, from 1990 to 2021. Here we report data for 2010 to 2021 to highlight trends in disease burden over the past decade and through the first 2 years of the COVID-19 pandemic. Findings: Global DALYs increased from 2·63 billion (95% UI 2·44–2·85) in 2010 to 2·88 billion (2·64–3·15) in 2021 for all causes combined. Much of this increase in the number of DALYs was due to population growth and ageing, as indicated by a decrease in global age-standardised all-cause DALY rates of 14·2% (95% UI 10·7–17·3) between 2010 and 2019. Notably, however, this decrease in rates reversed during the first 2 years of the COVID-19 pandemic, with increases in global age-standardised all-cause DALY rates since 2019 of 4·1% (1·8–6·3) in 2020 and 7·2% (4·7–10·0) in 2021. In 2021, COVID-19 was the leading cause of DALYs globally (212·0 million [198·0–234·5] DALYs), followed by ischaemic heart disease (188·3 million [176·7–198·3]), neonatal disorders (186·3 million [162·3–214·9]), and stroke (160·4 million [148·0–171·7]). However, notable health gains were seen among other leading communicable, maternal, neonatal, and nutritional (CMNN) diseases. Globally between 2010 and 2021, the age-standardised DALY rates for HIV/AIDS decreased by 47·8% (43·3–51·7) and for diarrhoeal diseases decreased by 47·0% (39·9–52·9). Non-communicable diseases contributed 1·73 billion (95% UI 1·54–1·94) DALYs in 2021, with a decrease in age-standardised DALY rates since 2010 of 6·4% (95% UI 3·5–9·5). Between 2010 and 2021, among the 25 leading Level 3 causes, age-standardised DALY rates increased most substantially for anxiety disorders (16·7% [14·0–19·8]), depressive disorders (16·4% [11·9–21·3]), and diabetes (14·0% [10·0–17·4]). Age-standardised DALY rates due to injuries decreased globally by 24·0% (20·7–27·2) between 2010 and 2021, although improvements were not uniform across locations, ages, and sexes. Globally, HALE at birth improved slightly, from 61·3 years (58·6–63·6) in 2010 to 62·2 years (59·4–64·7) in 2021. However, despite this overall increase, HALE decreased by 2·2% (1·6–2·9) between 2019 and 2021. Interpretation: Putting the COVID-19 pandemic in the context of a mutually exclusive and collectively exhaustive list of causes of health loss is crucial to understanding its impact and ensuring that health funding and policy address needs at both local and global levels through cost-effective and evidence-based interventions. A global epidemiological transition remains underway. Our findings suggest that prioritising non-communicable disease prevention and treatment policies, as well as strengthening health systems, continues to be crucially important. The progress on reducing the burden of CMNN diseases must not stall; although global trends are improving, the burden of CMNN diseases remains unacceptably high. Evidence-based interventions will help save the lives of young children and mothers and improve the overall health and economic conditions of societies across the world. Governments and multilateral organisations should prioritise pandemic preparedness planning alongside efforts to reduce the burden of diseases and injuries that will strain resources in the coming decades. Funding: Bill & Melinda Gates Foundation

Burden of disease scenarios for 204 countries and territories, 2022–2050: a forecasting analysis for the Global Burden of Disease Study 2021

Background: Future trends in disease burden and drivers of health are of great interest to policy makers and the public at large. This information can be used for policy and long-term health investment, planning, and prioritisation. We have expanded and improved upon previous forecasts produced as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) and provide a reference forecast (the most likely future), and alternative scenarios assessing disease burden trajectories if selected sets of risk factors were eliminated from current levels by 2050. Methods: Using forecasts of major drivers of health such as the Socio-demographic Index (SDI; a composite measure of lag-distributed income per capita, mean years of education, and total fertility under 25 years of age) and the full set of risk factor exposures captured by GBD, we provide cause-specific forecasts of mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) by age and sex from 2022 to 2050 for 204 countries and territories, 21 GBD regions, seven super-regions, and the world. All analyses were done at the cause-specific level so that only risk factors deemed causal by the GBD comparative risk assessment influenced future trajectories of mortality for each disease. Cause-specific mortality was modelled using mixed-effects models with SDI and time as the main covariates, and the combined impact of causal risk factors as an offset in the model. At the all-cause mortality level, we captured unexplained variation by modelling residuals with an autoregressive integrated moving average model with drift attenuation. These all-cause forecasts constrained the cause-specific forecasts at successively deeper levels of the GBD cause hierarchy using cascading mortality models, thus ensuring a robust estimate of cause-specific mortality. For non-fatal measures (eg, low back pain), incidence and prevalence were forecasted from mixed-effects models with SDI as the main covariate, and YLDs were computed from the resulting prevalence forecasts and average disability weights from GBD. Alternative future scenarios were constructed by replacing appropriate reference trajectories for risk factors with hypothetical trajectories of gradual elimination of risk factor exposure from current levels to 2050. The scenarios were constructed from various sets of risk factors: environmental risks (Safer Environment scenario), risks associated with communicable, maternal, neonatal, and nutritional diseases (CMNNs; Improved Childhood Nutrition and Vaccination scenario), risks associated with major non-communicable diseases (NCDs; Improved Behavioural and Metabolic Risks scenario), and the combined effects of these three scenarios. Using the Shared Socioeconomic Pathways climate scenarios SSP2-4.5 as reference and SSP1-1.9 as an optimistic alternative in the Safer Environment scenario, we accounted for climate change impact on health by using the most recent Intergovernmental Panel on Climate Change temperature forecasts and published trajectories of ambient air pollution for the same two scenarios. Life expectancy and healthy life expectancy were computed using standard methods. The forecasting framework includes computing the age-sex-specific future population for each location and separately for each scenario. 95% uncertainty intervals (UIs) for each individual future estimate were derived from the 2·5th and 97·5th percentiles of distributions generated from propagating 500 draws through the multistage computational pipeline. Findings: In the reference scenario forecast, global and super-regional life expectancy increased from 2022 to 2050, but improvement was at a slower pace than in the three decades preceding the COVID-19 pandemic (beginning in 2020). Gains in future life expectancy were forecasted to be greatest in super-regions with comparatively low life expectancies (such as sub-Saharan Africa) compared with super-regions with higher life expectancies (such as the high-income super-region), leading to a trend towards convergence in life expectancy across locations between now and 2050. At the super-region level, forecasted healthy life expectancy patterns were similar to those of life expectancies. Forecasts for the reference scenario found that health will improve in the coming decades, with all-cause age-standardised DALY rates decreasing in every GBD super-region. The total DALY burden measured in counts, however, will increase in every super-region, largely a function of population ageing and growth. We also forecasted that both DALY counts and age-standardised DALY rates will continue to shift from CMNNs to NCDs, with the most pronounced shifts occurring in sub-Saharan Africa (60·1% [95% UI 56·8–63·1] of DALYs were from CMNNs in 2022 compared with 35·8% [31·0–45·0] in 2050) and south Asia (31·7% [29·2–34·1] to 15·5% [13·7–17·5]). This shift is reflected in the leading global causes of DALYs, with the top four causes in 2050 being ischaemic heart disease, stroke, diabetes, and chronic obstructive pulmonary disease, compared with 2022, with ischaemic heart disease, neonatal disorders, stroke, and lower respiratory infections at the top. The global proportion of DALYs due to YLDs likewise increased from 33·8% (27·4–40·3) to 41·1% (33·9–48·1) from 2022 to 2050, demonstrating an important shift in overall disease burden towards morbidity and away from premature death. The largest shift of this kind was forecasted for sub-Saharan Africa, from 20·1% (15·6–25·3) of DALYs due to YLDs in 2022 to 35·6% (26·5–43·0) in 2050. In the assessment of alternative future scenarios, the combined effects of the scenarios (Safer Environment, Improved Childhood Nutrition and Vaccination, and Improved Behavioural and Metabolic Risks scenarios) demonstrated an important decrease in the global burden of DALYs in 2050 of 15·4% (13·5–17·5) compared with the reference scenario, with decreases across super-regions ranging from 10·4% (9·7–11·3) in the high-income super-region to 23·9% (20·7–27·3) in north Africa and the Middle East. The Safer Environment scenario had its largest decrease in sub-Saharan Africa (5·2% [3·5–6·8]), the Improved Behavioural and Metabolic Risks scenario in north Africa and the Middle East (23·2% [20·2–26·5]), and the Improved Nutrition and Vaccination scenario in sub-Saharan Africa (2·0% [–0·6 to 3·6]). Interpretation: Globally, life expectancy and age-standardised disease burden were forecasted to improve between 2022 and 2050, with the majority of the burden continuing to shift from CMNNs to NCDs. That said, continued progress on reducing the CMNN disease burden will be dependent on maintaining investment in and policy emphasis on CMNN disease prevention and treatment. Mostly due to growth and ageing of populations, the number of deaths and DALYs due to all causes combined will generally increase. By constructing alternative future scenarios wherein certain risk exposures are eliminated by 2050, we have shown that opportunities exist to substantially improve health outcomes in the future through concerted efforts to prevent exposure to well established risk factors and to expand access to key health interventions