Population In Countries Research Articles

Nigerian medicinal plants with potential anticancer activity—a review

Despite the fact that life expectancies are increasing and the burden of infectious diseases is decreasing, global cancer incidence rates are on the rise. Cancer outcome metrics are dismal for low- and middle-income countries (LMICs), including sub-Saharan Africa, where adequate resources and infrastructure for cancer care and control are lacking. Nigeria, the most populous country in Africa, exemplifies the miserable situation. However, the investigation of medicinal plants for better and safer anti-cancer drugs has now increased tremendously. While scientific evidence is emerging of the potential of some constituents of medicinal plants used in traditional medicine in Nigeria to have anti-cancer effects, there is now a critical need for platforms that integrate ethnomedicinal information on such plants with emerging scientific data on them, to support and accelerate the discovery and development of more efficacious and safer anti-cancer drugs and recipes. Thus, this review highlights the scientific evidence to date for the anti-cancer potential of plants commonly used in traditional medicine to treat cancers in Nigeria. Scientific databases such as PubMed, Science Direct, Scopus, Google Scholar, and Web of Science, as well as related sources, were searched to retrieve relevant information on anti-cancer medicinal plants. Ethnobotanical/ethnomedicinal details of the identified plants were then linked with the available scientific data on their anti-cancer potential, including the cytotoxicity to cancer and normal cells of the extracts and constituent compounds responsible for the activity. This annotated chronicle of Nigerian medicinal plants with potential anticancer activity is a great resource for all stakeholders in the prevention and management of cancers.

Prediction of low birth weight from fetal ultrasound and clinical characteristics: a comparative study between a low- and middle-income and a high-income country

IntroductionAdverse perinatal outcomes (APO) pose a significant global challenge, particularly in low- and middle-income countries (LMICs). This study aims to analyse two cohorts of high-risk pregnant women for APO to...

Analisis Daya Saing Ekspor Feronikel Indonesia dan Determinan yang Mempengaruhi Volume Ekspor di Empat Negara Tujuan Tahun 2006-2022

This research aims to analyze the competitiveness of Indonesian ferronickel in the four destination countries with the most transactions, and analyze the factors that influence the volume of Indonesian ferronickel exports, using a gravity model. The data used in this research is panel data from four countries from 2006-2022, using the Revealed Comparative Advantage (RCA) and Poisson Pseudo Maximum Likelihood (PPML) methods. The results show that the RCA value in the four countries is greater than 1, meaning that Indonesian ferronickel has competitiveness in the destination country. Then, the factors that significantly influence the volume of Indonesian ferronickel exports are Indonesia's GDP, the GDP of the destination country, the exchange rate, and the COVID-19 pandemic with a positive coefficient, as well as the population of the destination country with a negative coefficient. Meanwhile, the economic distance variable doesn’t have a significant effect on the volume of Indonesian ferronickel exports.

Unmet Health Care Needs Among Older People in Canada: Does Household Food Insecurity Matter?

Canada is undergoing a demographic shift, with projections indicating that over 25% of the country's population will be 65 years or older by 2063. While this has raised critical concerns about Canada's preparedness to meet the social and health-care needs of an aging population, the increasing incidence of food insecurity is particularly affecting vulnerable groups, such as older Canadians, with implications for their health-care service utilization. Despite this observation, there are nascent studies examining the role of household food insecurity status on unmet health-care needs among older people in Canada. The main objective of our study is to assess the association between household food insecurity and unmet health-care needs among older Canadians. We used data from a selected sample of 21,178 participants as part of the 2017-18 Canadian Community Health Survey and applied logistic regression analysis. Our findings indicate that older people experiencing any type of food insecurity, that is, either moderate (OR=3.07, p<.01) or severe (OR=4.09, p<.01) were more likely to have reported unmet health-care needs compared to their counterparts in food secure households, even after controlling for a range of demographic, socioeconomic, and health and health-care variables. Our finding is concerning, considering that older people in Canada who are in most need of health-care services due to their food insecurity status are instead reporting unmet health-care needs. This revelation calls for urgent policy attention to reduce the episodes of household food insecurity among older people in Canada. Specifically, to improve their access to health-care services, providing them with periodic grocery rebates as part of the social protection package for seniors in Canada would help mitigate the problem of food insecurity among them.

Call for Reforms in the NEET-UG Examination (National Eligibility cum Entrance Test - Undergraduate): Addressing Human Resources in Health for India, the World’s Most Populous Country

ABSTRACT The National Eligibility cum Entrance Test for Undergraduate (NEET-UG) in India serves as a unified admission examination for undergraduate medical courses, aiming to standardize assessment across diverse educational backgrounds. Despite its goals, NEET-UG has faced criticism over fairness, excessive reliance on coaching, and its impact on students’ holistic development. The article reviews the limitations of the current NEET-UG format and proposes reforms, emphasizing the need to align the syllabus more closely with medical requirements by reducing physics and chemistry content and prioritizing biology. It suggests restructuring NEET-UG into a two-step examination to improve differentiation among candidates and reduce malpractice. Introducing a computer-based format, expanding the question pool, and adding interdisciplinary topics relevant to healthcare, such as Psychology, Nutrition, Physical Education, Cell biology, Genetics, public health and sociology, are also recommended. Additionally, the paper compares NEET-UG with global medical entrance exams, noting that broader subject assessments and critical thinking skills could enhance candidate evaluation. The Indian medical education system is the largest in the world. Given its vast capacities, it is crucial to reform the selection process to ensure that human resources in health can effectively address the pressing public health needs of India, the world’s most populated country. The proposed reforms aim to create a fairer, more comprehensive selection process that minimizes stress, encourages holistic education, and better meets medical education standards.

A systemic evaluation of COVID-19 vaccination drives in LICs, LMICs, UMICs, and HICs: Preparedness for future pandemics

ABSTRACT Introduction: The COVID-19 pandemic has significantly impacted global healthcare systems. Vaccination is an effective strategy to battle the disease. Policies and distribution frameworks have varied widely across countries. The paper aims to highlight the global vaccination trends in these nations, based on their economic classification, which will illuminate key takeaways that will allow for better pandemic management policies. Methods: A list of the most populated countries across each income slab was drawn up, and information on their vaccination campaigns was collected from national government portals and official health department websites of these countries in a structured manner. Data collected for the attributes was qualitatively described and converted into binary responses for quantitative analysis. ANOVA test, Chi-square test, and regression models were employed. Results: A consistent decreasing trend was noted in the percentage of the population vaccinated as the spectrum from higher-income countries to lower-income countries was traversed for all dose statuses. Fewer types of vaccines were available in the lower-income countries. Though compliance with the CDC vaccination strategies guide was largely noted, a linear regression univariate analysis of vaccination drive parameters carried out for single-dose vaccination yielded statistically significant results for medical provider vaccine standardization (P-value = 0.002), vaccination requirements (P-values &lt;0.001), and provider recommendation. (P-values &lt;0.001) Vaccine hesitancy was not dependent on economic status. Conclusion: Concerted global initiatives like vaccine donation would assist efforts in mitigating disease spread. Prompt busting of baseless anti-vaccine narratives and strengthening healthcare infrastructure to meet national requirements should be given due importance.

Indonesian news article authorship attribution multilabel multiclass classification using IndoBERT

&lt;p class="p1"&gt;Recent developments in technology have made it easier to produce digital con- tent, especially textual articles. But, it has a negative impact in the form of a rising public skepticism of digital data due to plagiarism. Indonesia, one of the world’s most populous countries, is not resistant to this problem. To resolve it, the authorship attribution (AA) task must be executed. However, there has been little investigation on AA for Indonesian articles. As a result, this research applies the AA task to an Indonesian digital news articles dataset. Continuing the previous research, dataset modification was carried out to increase data com- plexity by adding a new class, namely the author’s gender, and also by balancing the distribution of data versus labels to minimize potential overfitting, and model hyper-parameter configurations were carried out to enhance the results gained. This research successfully applied the IndoBERT model to the Indonesian AA task, yielding results in the form of precision = 0.92, recall = 0.90, and F1-score = 0.91. These results indicate that the Indonesian AA task has a lot of potential for development since it identifies writing patterns that may benefit the forensic field, detect plagiarism, and analyze Indonesian texts.&lt;/p&gt;

Against the Grain:International Migrants, the Children of Migrants and National Life Expectancy in Sweden, 1990-2019

International migrants and their children represent increasing shares of the populations of major host countries and have growing potential to affect estimates of national mortality. Yet, while many studies have observed mortality differences between immigrants, their children, and the majority population, few have progressed beyond this point to quantify the actual impact of these differences upon national life expectancy levels. Studies that have reveal that immigrants increasingly enhance national life expectancy, but do not progress beyond a single average generational effect. Here, using established demographic methods, we aim to quantify and unpack the impact of migrants and the children of migrants on national life expectancy in Sweden, with emphasis on potential differences by age, generations, and migration background. Going “against the grain” relative to other countries, we reveal an initial negative effect of first-generation migrants on national life expectancy levels in Sweden, followed by a gradual waning and disappearance of this effect over time. This change is attributable to the transformation in origin composition of Sweden’s migrant population from migrants born in Nordic countries (that have higher mortality than the majority population) to migrants born in non-Western countries (that have lower mortality than the majority population), particularly at working ages. For children of migrants, nearly all ages and migrant backgrounds contribute to an increasingly negative effect on national life expectancy over time. The unique and disparate mortality risks of migrants, the children of migrants, and the majority population suggest a need to monitor their mortality separately so as to maximise potential future gains in national life expectancy in Sweden.

Real‐time object detection for unmanned vehicles in Bangladesh: Dataset, implementation and evaluation

AbstractAutomated vehicle detection within the advanced application framework of autonomous vehicles significantly enhances road safety compared to human drivers on roads and highways. However, the intelligent identification of road vehicles in a densely populated country like Bangladesh is challenging due to irregular traffic patterns, highly diverse vehicle types, a cluttered environment, and a lack of high‐quality datasets. This study proposes a system that utilizes computer vision technology to identify road vehicles with greater speed and accuracy. First, the dataset was collected and organized in Roboflow to identify the 21 classes of Bangladeshi native vehicle images, along with two additional classes for people and animals. Subsequently, the You Only Look Once v5 (YOLOv5) model underwent training on the dataset. This process produced bounding boxes, which were then refined using the non‐maximum suppression technique. The loss function complete intersection over union is employed to obtain the accurate regression bounding box of the vehicles. The MS COCO (Microsoft Common Objects in Context) dataset weights are included in the YOLOv5 deep learning network for transfer learning. Finally, Python TensorBoard was used to evaluate and visualize the model's performance. The model was developed and validated on the Google Colab platform. A set of experimental evaluations demonstrate that the proposed method is effective and efficient in recognizing Bangladeshi vehicles. In all test road scenarios, the proposed computer vision system for road vehicle identification achieved 95.8% accuracy and 0.3 ms processing time for 200 epochs. This research could lead to intelligent transportation systems and driverless vehicles in Bangladesh.

Public health, policy, and clinical interventions to improve perinatal care for migrant women and infants in high-income countries: a systematic review

Migrant women who are pregnant or postpartum and their infants are often at increased risk of poorer perinatal outcomes compared to host country populations. This review aimed to identify public health, policy, and clinical interventions to improve maternity care for migrant women and their infants in high-income countries (HICs). In this systematic review we searched EMBASE, EMCARE, MEDLINE and PsycINFO, CENTRAL, Scopus, CINAHL Plus, Web of Science, and grey literature from inception to 13th March 2024, with no language or date restrictions (PROSPERO: CRD42022380678). Interventional and observational studies assessing the effectiveness of any intervention to improve perinatal care for migrant women and their infants in HICs delivered in the pregnancy, peripartum, or postpartum period (up to one year after birth) were included. Quantitative outcomes were extracted. Qualitative studies were excluded. The main outcomes of interest were preterm birth, birthweight, and appointment attendance. Quantitative synthesis was conducted using Harvest plots and binomial exact calculations. 15,689 records were retrieved, 29 studies comprising data from 16,763,837 women were included. 22 studies (75.9%) included multiple interventions. Five interventions had strong evidence of effectiveness. Two clinical interventions: 100.0% of studies including specialist multidisciplinary teams improved one or more of the main outcomes of interest, namely preterm birth, birthweight, and appointment attendance (95% confidence interval 73.5-100.0%; p<0.001); and 90.9% of studies including specialist in-person interpreting improved one or more of the main outcomes of interest (58.7-100.0%; p=0.012). Three public health or policy interventions: 100.0% of social welfare interventions (75.3%-100.0%; p<0.001) improved one or more of the main outcomes of interest; 100.0% of maternal education interventions (71.5-100.0%. p<0.001), and 83.3% of studies assessing access to free healthcare (51.6-97.9%; p=0.039). The findings suggest that multicomponent interventions comprising multidisciplinary teams, in-person interpreting, maternal education, and social welfare support can improve perinatal outcomes for migrant women and their infants. Removing financial barriers to care may improve perinatal outcomes and be cost saving to healthcare systems. However, these findings should be interpreted with caution given that most included studies were of poor quality and that sensitivity analysis restricting to interventional studies only did not demonstrate any effect on the main outcomes of interest. KS is supported by a National Institute for Health Research (NIHR) Doctoral Fellowship (NIHR302577). HRJ is supported by an NIHR Advanced Fellowship (NIHR303183). HRJ is supported by NIHR Applied Research Collaboration (ARC) South London. MM is supported by a Medical Research Council Clinical Research Training Fellowship (Grant number MR/W01498X/1). GF is supported by a Nuffield Department of Population Health Clinical Research Fellowship. MK is an NIHR Senior Investigator (NIHR303806). The views expressed are those of the authors and not necessarily those of the NIHR or the Department of Health and Social Care.

Let this be a safe place: a qualitative study into midwifery care for forcibly displaced women in the Netherlands

BackgroundForcibly displaced women in the Netherlands face increased chances of perinatal mortality and other adverse pregnancy and childbirth outcomes compared to the resident country population, which has been linked to suboptimal care. This study was conducted to gain insights from the experiences of Dutch midwives to inform and enhance the provision of tailored and equitable care for forcibly displaced women.MethodsWe conducted a qualitative study using semistructured interviews with community midwives who provide care for forcibly displaced women (asylum seekers and recognized refugees) in the Netherlands. Through thematic analysis, we identified the barriers midwives encounter in providing care and explored their strategies for navigating these barriers, aiming to inform recommendations that advance equitable care provision.ResultsInterviews with eleven midwives revealed barriers across three thematic levels: (1) the interactional level, where barriers related to language and interpreters, cultural differences, and building trust impeded positive interactions between midwives and forcibly displaced women; (2) the organizational level, where barriers concerning relocations of asylum seekers, delays in accessing care, and interdisciplinary collaboration impeded optimal care; and (3) the contextual level, where barriers related to women’s housing conditions, the resettlement process and the mental health of forcibly displaced women impeded midwives’ to respond to clients’ needs. These levels of barriers culminated in a core theme of imbalance between midwives’ expanded responsibilities and the limited resources and strategies available to them in care for forcibly displaced women. This imbalance forced midwives into multiple roles, increased both the practical and emotional burden on them, and undermined their ability to provide optimal, equitable care.ConclusionsTo enhance the provision of equitable pregnancy and childbirth care for forcibly displaced women in the Netherlands, it is crucial to target the imbalance between the responsibilities that midwives bear and the resources available to them. This requires dismantling barriers at the interactional, organizational and contextual level of care through targeted policy interventions. Structural determinants that perpetuate the imbalance in midwives’ work and restrict their scope of influence, such as restrictive migration policies that contribute to socioeconomic marginalization and poor housing conditions, need to be addressed. Ultimately, midwives themselves require more support and education to recognize and combat injustices in pregnancy and childbirth care for forcibly displaced women.

Gardening as a responsible leisure activity: The geography of Central European food self-provisioning

Recent research on food self-provisioning (FSP) has pointed to its material similarity with the practices of alternative food networks (AFNs) – a subject of enormous scholarly interest in the last two decades. Most of the limited research on FSP has so far focused on comparing gardeners with the non-gardening population in a single country and overlooked geographical differences in FSP practices. The objective of this article is to assess the differences in FSP in two Central European countries (Austria and Czechia) and between urban, suburban and rural areas. More specifically, we have analysed robust survey data on 1,284 households practising gardening with the objective of comparing FSP practices in different geographical settings in terms of time spent in the garden, motivations for growing food, the volume of vegetable production, the extent of mutual help and food sharing and fertiliser and pesticide use. The results reveal similarities rather than differences between geographical categories, despite a significant disparity in living standards between the two countries. Associating FSP with the quality of produce and a leisure activity rather than poverty or obligation, as well as proving its comparable relevance in both rural and urban areas and across international boundaries, contributes to bridging the gap between research on AFNs and FSP. It also demonstrates that food alternatives have significantly greater material significance in terms of volume of production and the number of participants than previously realised.

Evaluation of Cardiomyopathy-Related Target Genes by Next-Generation Sequencing Method and Investigation of the Phenotype-Genotype Relationship

Background: Primary heart muscle diseases called cardiomyopathy (CMP) constitute an important group of subsequent heart disorders. CMPs are basically divided into four subgroups associated with the heart muscle but clinically distinguishable: hypertrophic CMP (HCM), dilated CMP (DCM), restrictive CMP (RCM), and left ventricular non-compaction CMP. Material and Methods: The results of the patients who applied to the Genetic Diseases Evaluation Center with the preliminary diagnosis of clinical CMP were evaluated retrospectively in the current study. In the current study, 103 cases were included and evaluated for phenotype-genotype association with the CMP next-generation sequencing (NGS) panel. Results: Fifty-eight different variants were identified in 45 patients. Sixteen out of those 58 variants were novel. Of these variants, 19 (32.75%) were likely pathogenic (LP)/pathogenic (P), and 35 (60.34%) were variants of uncertain significance. Conclusion: The prevalence of pathogenic variants in target genes associated with CMP is important for our current country's population, and multiple gene groups associated with CMP can be screened through NGS. The contribution rate to the clinical diagnosis was 18.44% in terms of the individual population who applied to our medical genetics center and were compatible with the CMP indication.

A Political-Economic Model of Community and Societal Health Resources: A 92-Country Global Analysis.

The quality and access to healthcare systems depend on community health resources, infrastructure, and funding; however, a significant disparity in these resources persists globally. The effectiveness of national health systems depends on a balanced approach to health spending, access to facilities and a skilled local health workforce. What accounts for country-level differences in those critical community and societal health resources? We proposed and tested a model that leverages political and socioeconomic factors to predict various health resources and services in countries. Data, including community health training, research, and support, universal health coverage, healthcare infrastructure, and per capita health expenditure, were collected and analysed by statistical methods, like bivariate correlations and hierarchical multiple linear regressions from 105 countries. Countries with more grassroots activism, fiscal decentralisation, freedom, and globalisation and less perceived corruption and inequality had more community and societal health resources. In multivariate analyses, stronger community health training and research is associated with the globalisation index, freedom score, government fiscal decentralisation, and income inequality. The strongest predictor of health insurance coverage and hospital beds was the country's population education index, and of nurses and midwives-per-capita and health expenditures-per-capita was GDP-per-capita. These insights could guide policymaking to reduce global health inequalities.

Provisioning food and medicine from public forests in the United States

Forests contribute to the nutritional and medicinal needs of billions of people worldwide. In the United States, the extent and impacts of provisioning forest foods are not fittingly understood. This study seeks to elucidate the scope and scale of forest food harvest. Using publicly available data, hunting surveys and proprietary data from the Wild Harvest Initiative®, we provide estimates of the amount of foods and medicines from wild-harvested flora and fauna, and meat produced from domesticated livestock grazed on public forest lands. The evidence strongly supports the assertion that large volumes of forest-dependent fauna and flora contribute to the health and well-being of a substantial portion of the country's population. Each year, >255 thousand metric tons of forest foods and medicines are harvested across public lands of the United States. Our findings are relevant to the global challenge of providing more nutritional food to a growing population through ecologically sustainable sources. The study provides more clarity to the importance of wild flora and fauna harvesting in the United States. The case of the State of Alaska, which codifies subsistence harvesting in its constitution, exemplifies the potential benefits of recognizing the importance of these natural resources to its residents. Concerted institutional efforts recognizing the importance of forest food and medicines to people and communities would shed more light on these natural resources and could lead to improved land management and food security.

HEADFIRST: Advancing Motorcycle Safety through an Intelligent Smart Helmet System

For a densely populated country like India, road accidents are a significant issue, particularly for two-wheelers. Common causes include poor road conditions, driving under the influence, not wearing helmets, and delayed emergency response times. The proposed study introduces an intelligent system designed to prevent two-wheeler accidents and provide immediate accident detection for timely medical assistance. This system comprises two main modules: the helmet and bike module. The helmet module ensures the rider wears a helmet and is not intoxicated; only then will the bike start, enabled by a relay circuit. Accident-detection sensors identify accidents and automatically dispatch emergency messages, while a bypass button allows riders to cancel emergency messages if help is unnecessary. The bike module manages the engine and communication based on inputs from the helmet module, monitors road conditions, and logs data for accident prevention and maintenance insights.

Household fuel use, smoking and prevalence of self-reported allergic rhinitis in university students in Palestine: a cross-sectional study.

In Palestine, few studies investigated the prevalence of allergies and the factors associated with their occurrence. An online survey was conducted on health complex University students in Jerusalem to determine the prevalence of allergy rhinitis (AR) and its relationship with indoor environmental exposures. This study employed a modified online Google form of the Global Asthma Network's Adult Questionnaire. The data were reported as frequency and percentage. The chi-square test of independence was performed to investigate the association between AR diagnosis and other factors. Multivariable models were used to identify the independent risk factors for AR after adjusting for potential confounders. Data was collected from a total of 819 participants. The mean age of the participants was 20 ± 2 years and 78.1% (n = 640) were females. The AR diagnostic rate was 10.3%. In addition, having asthma and eczema were found to be substantially associated with AR. Additionally, a family history of AR and other allergens were major predictors of AR. The findings revealed that utilizing animal dung for heating increased the likelihood of AR fourfold (AOR = 4.870, p-value = 0.004), whereas e-cigarette vaping increased the possibility of AR by 2.5 times. However, using natural gas for cooking was not significantly associated with AR, and participant age was only slightly associated with AR diagnosis. Our study found that the AR prevalence rate is low when compared to the same population in other countries. Genetics, biomass fuel consumption, and e-smoking are all significant risk factors for AR in Palestine. An awareness campaign must be developed to educate university students and the general public about the risks of smoking, indoor air pollution, respiratory disorders, and AR. Longitudinal research is required to discover whether these associations are only transient.

Bibliometric analysis of myelomeningocele management: National disease burden versus publication volume

Myelomeningocele (MMC) disproportionately affects low-resource areas and regions without mandatory folic acid fortification. No specific literature exists on the distribution of research output regarding neurosurgical management of myelomeningocele worldwide in relation to regional disease burden. We aimed to examine the country of origin and patient population of published papers on myelomeningocele and topics related to neurosurgical management of MMC, to determine whether these were proportionate to disease burden. A systematic literature search was conducted on neurosurgical aspects of myelomeningocele care. The geographic distribution of neurosurgical MMC research output was examined against the national burden of disease. Bibliometric analysis quantified author and patient country affiliations stratified by World Bank income group classification and folic acid fortification status, juxtaposed with disease burden. From 9,692 titles, 1,843 were included, representing 107,446 patients and 2,650 authorship instances. High-income countries (HICs) comprised 3% of 2019's global NTD births, 74% of authorships, and 83% of patients represented. Upper-middle-income countries (UMICs) represented 9% of NTD births, 16% of authorships, and 9% of published patients. Lower-middle-income countries (LMICs) represented 55% of NTD births but only 8.6% of authorships and 7% of patients. Low-income countries (LICs) shouldered 32% of NTD births and contributed 1.3% of authorships and 1.6% of patients. Countries with mandatory folic acid fortification represented 75% of patients and 54% of authorships. Postnatal repair, hydrocephalus, and postoperative complications were the most frequently studied topics. The global literature concerning neurosurgical management of myelomeningocele originates predominantly from HICs. Published experiences of myelomeningocele patients from LICs/LMICs are scarce, even though they comprise the majority of the affected population. Neurosurgeons and other health professionals must address this mismatch between disease burden and publication volume in order to inform practice, policy, and advocacy for myelomeningocele care worldwide.

Population molecular genetics in Brazil: From genomic databases and research to the implementation of precision medicine.

Precision medicine (PM) stands on the brink of revolutionizing medical practice throughout the world, holding significant potential for enhancing patient outcomes. However, its practical implementation, particularly in resource-limited countries, is not without challenges. The success of PM largely hinges on the availability of extensive datasets, including genetic and genomic information. This paper delves into the PM landscape and the current state of genetic and genomic testing in Brazil. We also shed light on the unique challenges posed by the country's diverse population and discuss ongoing initiatives to tackle these obstacles.

Analysis of Sustainable Smart Cities in India: Demographical and Financial aspect

India is poised to become the world’s most populous country by 2030, presenting an unprecedented market for global manufacturers and service providers. This demographic shift is also spurring rapid urbanization, with a growing population migrating to top-tier cities and emerging megacities expected to drive 80% of the nation’s economic growth. These urban centers have significant potential to implement advanced technologies and infrastructure, optimizing scarce resources for sustainable development. The Government of India’s Smart City Mission is a pioneering initiative aimed at fostering economic growth and enhancing quality of life by advancing local development through smart technologies. The mission seeks to create cities that provide essential infrastructure, a high standard of living, and a clean, sustainable environment. The approach centers on market-driven strategies to meet both supply and demand, aiming to raise awareness and optimize resources across sectors—residential, industrial, transportation, commercial, and recreational. This study explores the demographic and financial dimensions of sustainable smart cities and their contributions to economic development and societal well-being.