Hafiz Muhammad Naveed
Dados Biográficos
| ID | 4221865 |
|---|---|
| NOME | Hafiz Muhammad Naveed |
| PRENOMES | Hafiz Muhammad |
| SOBRENOME | Naveed |
| ASSINATURA | NAVEED H M |
| AFILIAÇÕES | Shenzhen University |
| ORCID | 0000-0002-7319-354X |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 12 |
| TOTAL DE CITAÇÕES | 5 |
| TOTAL COMO AUTOR | 12 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2023 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 1 |
Innovation Systems, Renewable Energy Efficiency, Energy Transition, and Mitigation–Expansion Trap
Climate change requires an integrated policy framework that can handle multifaceted interrelations between energy systems, financial systems, technological innovation, and demographic processes. This research explores implicit drivers of CO 2 intensity and ecological footprint in 13 developed and developing countries from 2001 to 2025 using an interpretable MNN–DeepSHAP framework. The results indicate that better and more consistent environmental…
The law of diminishing marginal returns in health insurance
Background: Child malnutrition remains a serious public health challenge in Pakistan. The national health insurance initiative, the Sehat Sahulat Program (SSP), aims to improve access to health care for low-income families. This study examines whether the effectiveness of SSP follows the Law of Diminishing Marginal Returns (LDMR), whereby the marginal health benefits of insurance are greatest for the poorest households and decline with increasing…
Mapping the digital determinants of health
Background: The role of social media in in shaping the public perception of health crises is growing, yet we know little about the contribution of platforms such as YouTube in shaping knowledge regarding child undernutrition. We aimed to explore the digital discussion of and sentiment around YouTube content on child undernutrition in Pakistan, where at least 38% of children are stunted (as per global rankings). Methods: We compiled a dataset of 1…
Modelling the impact of dietary diversity on child nutrition in Pakistan
Background: Pakistan faces a serious challenge in malnutrition, as its core nutrition indicators and minimum dietary diversity remain below the recommended level. Here, we investigate the association between the food/dietary diversity index and the nutritional status of children under five years of age and identify influential factors associated with child nutritional status. We hypothesise that poor dietary diversity, i.e. the consumption of few…
Deep Neural Network Modeling of Sustainable Development and Human Development Indices on Child Undernutrition in Pakistan
Child malnutrition is a profound public health problem in Pakistan and is pegged with the country's persistent struggles in human as well as sustainable development. The paper investigates the effect of Pakistan's pathways on the Human Development Index (HDI) and Sustainable Development Index (SDI), with respect to child under‐nutrition over a 22‐year period (2000–2022). We selected this period of time because it is meaningful, including the full…
Bayesian neural network modelling for estimating ecological footprints and blue economy sustainability across G20 nations
The term “blue economy” has become synonymous with generating income from maritime pursuits while protecting and improving marine environments. Oceans provide both solutions and boosts to a sustainable environment and economy, given the growing need for resources to accomplish the global food, water, and energy nexus and the rapid reduction in land-based supplies. However, the ecological footprint (EF) is one of the significant factors that may i…
Wealth and regional disparities in child undernutrition
Introduction: In developing countries like Pakistan, the prevalence of malnutrition embodies a multifaceted development challenge, intricately linked to structural inequalities, with disproportionate burdens among socioeconomically and geographically disadvantaged populations. Methods: Drawing on the most recent Pakistan Demographic and Health Survey (2017-18), this study examines the magnitude of child undernutrition disparities across wealth qu…
Machine learning vs. traditional logistic regression
Logistic regression (LR) has long been the standard econometric tool for modeling child nutritional outcomes in public health research. However, conventional econometric LR (CE-LR) faces limitations in predictive accuracy, reliance on restrictive assumptions, and handling high-dimensional data. Machine learning-enhanced LR (ML-LR)-which relaxes the strict statistical assumptions of traditional models to better capture complex patterns-combined wi…
Assessing the nexus between currency exchange rate returns, currency risk hedging and international investments
The role of environmental knowledge, policies and regulations toward water resource management
Water is the lifeblood of our Earth, and sustainable water consumption is the key to preserving this scarce resource for future generations and upholding environmental sustainability. In this study, we investigate the relationship between environmental knowledge (EK), environmental policies and regulations (EPR), attitudes toward water resource management programs (APWRMP), perceived water quality (PWQ), and sustainable consumption (SC), enrichin…
Electricity shortfalls and financial leverage of listed firms in Pakistan
Artificial neural network (ANN)-based estimation of the influence of Covid-19 pandemic on dynamic and emerging financial markets
The role of environmental knowledge, policies and regulations toward water resource management
Water is the lifeblood of our Earth, and sustainable water consumption is the key to preserving this scarce resource for future generations and upholding environmental sustainability. In this study, we investigate the relationship between environmental knowledge (EK), environmental policies and regulations (EPR), attitudes toward water resource management programs (APWRMP), perceived water quality (PWQ), and sustainable consumption (SC), enrichin…
Artificial neural network (ANN)-based estimation of the influence of Covid-19 pandemic on dynamic and emerging financial markets
Assessing the nexus between currency exchange rate returns, currency risk hedging and international investments
The role of environmental knowledge, policies and regulations toward water resource management
Water is the lifeblood of our Earth, and sustainable water consumption is the key to preserving this scarce resource for future generations and upholding environmental sustainability. In this study, we investigate the relationship between environmental knowledge (EK), environmental policies and regulations (EPR), attitudes toward water resource management programs (APWRMP), perceived water quality (PWQ), and sustainable consumption (SC), enrichin…
Electricity shortfalls and financial leverage of listed firms in Pakistan
Bayesian neural network modelling for estimating ecological footprints and blue economy sustainability across G20 nations
The term “blue economy” has become synonymous with generating income from maritime pursuits while protecting and improving marine environments. Oceans provide both solutions and boosts to a sustainable environment and economy, given the growing need for resources to accomplish the global food, water, and energy nexus and the rapid reduction in land-based supplies. However, the ecological footprint (EF) is one of the significant factors that may i…
Wealth and regional disparities in child undernutrition
Introduction: In developing countries like Pakistan, the prevalence of malnutrition embodies a multifaceted development challenge, intricately linked to structural inequalities, with disproportionate burdens among socioeconomically and geographically disadvantaged populations. Methods: Drawing on the most recent Pakistan Demographic and Health Survey (2017-18), this study examines the magnitude of child undernutrition disparities across wealth qu…
Machine learning vs. traditional logistic regression
Logistic regression (LR) has long been the standard econometric tool for modeling child nutritional outcomes in public health research. However, conventional econometric LR (CE-LR) faces limitations in predictive accuracy, reliance on restrictive assumptions, and handling high-dimensional data. Machine learning-enhanced LR (ML-LR)-which relaxes the strict statistical assumptions of traditional models to better capture complex patterns-combined wi…
Innovation Systems, Renewable Energy Efficiency, Energy Transition, and Mitigation–Expansion Trap
Climate change requires an integrated policy framework that can handle multifaceted interrelations between energy systems, financial systems, technological innovation, and demographic processes. This research explores implicit drivers of CO 2 intensity and ecological footprint in 13 developed and developing countries from 2001 to 2025 using an interpretable MNN–DeepSHAP framework. The results indicate that better and more consistent environmental…
The law of diminishing marginal returns in health insurance
Background: Child malnutrition remains a serious public health challenge in Pakistan. The national health insurance initiative, the Sehat Sahulat Program (SSP), aims to improve access to health care for low-income families. This study examines whether the effectiveness of SSP follows the Law of Diminishing Marginal Returns (LDMR), whereby the marginal health benefits of insurance are greatest for the poorest households and decline with increasing…
Mapping the digital determinants of health
Background: The role of social media in in shaping the public perception of health crises is growing, yet we know little about the contribution of platforms such as YouTube in shaping knowledge regarding child undernutrition. We aimed to explore the digital discussion of and sentiment around YouTube content on child undernutrition in Pakistan, where at least 38% of children are stunted (as per global rankings). Methods: We compiled a dataset of 1…
Modelling the impact of dietary diversity on child nutrition in Pakistan
Background: Pakistan faces a serious challenge in malnutrition, as its core nutrition indicators and minimum dietary diversity remain below the recommended level. Here, we investigate the association between the food/dietary diversity index and the nutritional status of children under five years of age and identify influential factors associated with child nutritional status. We hypothesise that poor dietary diversity, i.e. the consumption of few…
Deep Neural Network Modeling of Sustainable Development and Human Development Indices on Child Undernutrition in Pakistan
Child malnutrition is a profound public health problem in Pakistan and is pegged with the country's persistent struggles in human as well as sustainable development. The paper investigates the effect of Pakistan's pathways on the Human Development Index (HDI) and Sustainable Development Index (SDI), with respect to child under‐nutrition over a 22‐year period (2000–2022). We selected this period of time because it is meaningful, including the full…
Child Nutrition and Water Access (6 obras) · Economics (5 obras) · Malnutrition (5 obras) · Business (4 obras) · Computer Science (4 obras) · Food Security and Health in Diverse Populations (3 obras) · Geography (3 obras) · Artificial neural network (2 obras) · Bayesian probability (2 obras) · Currency (2 obras)