Displaying publications 1 - 20 of 155 in total

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  1. Massard J
    Tiers Monde, 1985 4 1;26(102):359-70.
    PMID: 12340322
    Matched MeSH terms: Urbanization
  2. Jia Y, Zheng F, Maier HR, Ostfeld A, Creaco E, Savic D, et al.
    Water Res, 2021 Sep 01;202:117419.
    PMID: 34274902 DOI: 10.1016/j.watres.2021.117419
    Urban sewer networks (SNs) are increasingly facing water quality issues as a result of many challenges, such as population growth, urbanization and climate change. A promising way to addressing these issues is by developing and using water quality models. Many of these models have been developed in recent years to facilitate the management of SNs. Given the proliferation of different water quality models and the promise they have shown, it is timely to assess the state-of-the-art in this field, to identify potential challenges and suggest future research directions. In this review, model types, modeled quality parameters, modeling purpose, data availability, type of case studies and model performance evaluation are critically analyzed and discussed based on a review of 110 papers published between 2010 and 2019. The review identified that applications of empirical and kinetic models dominate those of data-driven models for addressing water quality issues. The majority of models are developed for prediction and process understanding using experimental or field sampled data. While many models have been applied to real problems, the corresponding prediction accuracies are overall moderate or, in some cases, low, especially when dealing with larger SNs. The review also identified the most common issues associated with water quality modeling of SNs and based on these proposed several future research directions. These include the identification of appropriate data resolutions for the development of different SN models, the need and opportunity to develop hybrid SN models and the improvement of SN model transferability.
    Matched MeSH terms: Urbanization*
  3. Ho KC, Teow YH, Sum JY, Ng ZJ, Mohammad AW
    Sci Total Environ, 2021 Mar 15;760:143966.
    PMID: 33341611 DOI: 10.1016/j.scitotenv.2020.143966
    Rapid urbanization and the rising global population have led to the generation of substantial volumes of laundry wastewater. Accordingly, treatment of laundry wastewater has been advocated to curb water pollution and achieve water sustainability. However, technological limitations in treating (specifically) laundry wastewater and the lack of regulations governing the levels of contaminants for such discharges have been perennial problems. This review bridges the knowledge gap by delineating the feasibility of current technologies in laundry wastewater treatment and the experiences of various countries in adopting different approaches. Besides, the feasible methods for collecting laundry wastewater are elaborated. The development of the treatment technologies is highlighted, in which the integrated-treatment processes (physicochemical, biological, and combination of both) are critically discussed based on their functions and methods. A judicious selection of the technologies not only improves the energy efficiency and quality of the treated wastewater, but also mitigates capitals and operational costs. This is projected to enhance public acceptance towards the reuse of laundry wastewater. Thus, the comprehensive assessment herein is envisioned to insightfully guide national policymakers in exploring the viability of the technologies and water-recycling projects. Future research should focus on the techno-economic aspects of the treatment processes, especially their industrial scale-up.
    Matched MeSH terms: Urbanization
  4. Lawrence RJ, Gatzweiler FW
    J Urban Health, 2017 08;94(4):592-596.
    PMID: 28695402 DOI: 10.1007/s11524-017-0182-x
    The current disconnection between access to increasing amounts of data about urbanization, health, and other global changes and the conflicting meanings and values of that data has created uncertainty and reduced the ability of people to act upon available information which they do not necessarily understand. We see a disconnection between increasing data availability and data processing capability and capacity. In response to this disconnection, modeling has been attributed an important role in international and national research programs in order to predict the future based on past and recent trends. Predictive models are often data heavy and founded on assumptions which are difficult to verify, especially regarding urban health issues in specific contexts. Producing large volumes of data warrants debate about what data are prerequisites for better understanding human health in changing urban environments. Another concern is how data and information can be used to apply knowledge. Making sense of empirical knowledge requires a new transdisciplinary knowledge domain created by a commitment to convergence between researchers in multiple academic disciplines and other actors and institutions in cities. Disciplinary-based researchers are no longer the sole producers of empirical knowledge. Today, diverse kinds of knowledge are becoming an emergent product of multiple societal stakeholders acting collectively to address challenges that impact on their habitat, their livelihood, and their health. Insights from complexity science also require a fundamental rethinking of the role and responsibility of human agency while admitting rather than denying complexity and radical uncertainty.
    Matched MeSH terms: Urbanization*
  5. Siri JG, Newell B, Proust K, Capon A
    Asia Pac J Public Health, 2016 Mar;28(2 Suppl):15S-27S.
    PMID: 26219559 DOI: 10.1177/1010539515595694
    Extreme events, both natural and anthropogenic, increasingly affect cities in terms of economic losses and impacts on health and well-being. Most people now live in cities, and Asian cities, in particular, are experiencing growth on unprecedented scales. Meanwhile, the economic and health consequences of climate-related events are worsening, a trend projected to continue. Urbanization, climate change and other geophysical and social forces interact with urban systems in ways that give rise to complex and in many cases synergistic relationships. Such effects may be mediated by location, scale, density, or connectivity, and also involve feedbacks and cascading outcomes. In this context, traditional, siloed, reductionist approaches to understanding and dealing with extreme events are unlikely to be adequate. Systems approaches to mitigation, management and response for extreme events offer a more effective way forward. Well-managed urban systems can decrease risk and increase resilience in the face of such events.
    Matched MeSH terms: Urbanization*
  6. Boakye K, Bovbjerg M, Schuna J, Branscum A, Varma RP, Ismail R, et al.
    Sci Rep, 2023 Jan 06;13(1):290.
    PMID: 36609613 DOI: 10.1038/s41598-022-26406-5
    Urbanization may influence physical activity (PA) levels, although little evidence is available for low- and middle- income countries where urbanization is occurring fastest. We evaluated associations between urbanization and total PA, as well as work-, leisure-, home-, and transport-specific PA, for 138,206 adults living in 698 communities across 22 countries within the Prospective Urban and Rural Epidemiology (PURE) study. The 1-week long-form International PA Questionnaire was administered at baseline (2003-2015). We used satellite-derived population density and impervious surface area estimates to quantify baseline urbanization levels for study communities, as well as change measures for 5- and 10-years prior to PA surveys. We used generalized linear mixed effects models to examine associations between urbanization measures and PA levels, controlling for individual, household and community factors. Higher community baseline levels of population density (- 12.4% per IQR, 95% CI - 16.0, - 8.7) and impervious surface area (- 29.2% per IQR, 95% CI - 37.5, - 19.7), as well as the rate of change in 5-year population density (- 17.2% per IQR, 95% CI - 25.7, - 7.7), were associated with lower total PA levels. Important differences in the associations between urbanization and PA were observed between PA domains, country-income levels, urban/rural status, and sex. These findings provide new information on the complex associations between urbanization and PA.
    Matched MeSH terms: Urbanization*
  7. Agus MR
    Warasan Prachakon Lae Sangkhom, 1990 Jan;2(2):205-21, 242-3.
    PMID: 12283536
    The focus of this study is on urbanization in Malaysia. "This paper is divided into three parts. The first part examines the trend of uneven urban development in West Malaysia. The second part discusses the change [in] ethnic composition of urban population between 1970 and 1980 intercensal period. The third part analyses the impact of the urbanization process on the Malays in the context of housing problems of the lower income groups." (SUMMARY IN THA)
    Matched MeSH terms: Urbanization*
  8. Abbasi MA, Parveen S, Khan S, Kamal MA
    Environ Sci Pollut Res Int, 2020 May;27(15):18029-18043.
    PMID: 32170610 DOI: 10.1007/s11356-020-08262-w
    The developing world is facing pivotal challenges in recent times. Among these, global warming has ominous repercussions on every segment of society, thus tracing its underlying causes is imperative. This research attempts to investigate the impact of urbanization and energy consumption on carbon dioxide emissions (CO2) for a panel of 8 Asian countries (Bangladesh, China, India, Indonesia, Malaysia, Nepal, Pakistan, and Sri Lanka) over the period 1982 to 2017. The analyses are executed using panel co-integration and Granger causality techniques. The main findings of panel co-integration reveal a long-run relationship between urbanization, energy consumption, and CO2 emissions. Furthermore, the results indicate a positive and significant impact of urbanization and energy consumption on CO2 emissions, indicating that urban development and high energy consumptions are barriers to improve environmental quality in the long run. The results also highlight bi-directional causality between energy consumption and urbanization, while unidirectional causality exists between energy consumption and CO2 emissions. Based on the obtained results, this study offers useful policy implications for plummeting carbon emissions.
    Matched MeSH terms: Urbanization*
  9. Ali HS, Abdul-Rahim AS, Ribadu MB
    Environ Sci Pollut Res Int, 2017 Jan;24(2):1967-1974.
    PMID: 27798805 DOI: 10.1007/s11356-016-7935-z
    The main aim of this article is to examine empirically the impact of urbanization on carbon dioxide emissions in Singapore from 1970 to 2015. The autoregressive distributed lags (ARDL) approach is applied within the analysis. The main finding reveals a negative and significant impact of urbanization on carbon emissions in Singapore, which means that urban development in Singapore is not a barrier to the improvement of environmental quality. Thus, urbanization enhances environmental quality by reducing carbon emissions in the sample country. The result also highlighted that economic growth has a positive and significant impact on carbon emissions, which suggests that economic growth reduces environmental quality through its direct effect of increasing carbon emissions in the country. Despite the high level of urbanization in Singapore, which shows that 100 % of the populace is living in the urban center, it does not lead to more environmental degradation. Hence, urbanization will not be considered an obstacle when initiating policies that will be used to reduce environmental degradation in the country. Policy makers should consider the country's level of economic growth instead of urbanization when formulating policies to reduce environmental degradation, due to its direct impact on increasing carbon dioxide emissions.
    Matched MeSH terms: Urbanization
  10. Abjani F, Madhavan P, Chong PP, Chinna K, Rhodes CA, Lim YAL
    Ann Hum Biol, 2023 Feb;50(1):137-147.
    PMID: 36650931 DOI: 10.1080/03014460.2023.2170464
    CONTEXT: The continuous rise in urbanisation and its associated factors has been reflected in the structure of the human gut ecosystem.

    OBJECTIVE: The main focus of this review is to discuss and summarise the major risk factors associated with urbanisation that affect human gut microbiota thus affecting human health.

    METHODS: Multiple medical literature databases, namely PubMed, Google, Google Scholar, and Web of Science were used to find relevant materials for urbanisation and its major factors affecting human gut microbiota/microbiome. Both layman and Medical Subject Headings (MeSH) terms were used in the search. Due to the scarcity of the data, no limitation was set on the publication date. Relevant materials in the English language which include case reports, chapters of books, journal articles, online news reports and medical records were included in this review.

    RESULTS: Based on the data discussed in the review, it is quite clear that urbanisation and its associated factors have long-standing effects on the human gut microbiota that result in alterations of gut microbial diversity and composition. This is a matter of serious concern as chronic inflammatory diseases are on the rise in urbanised societies.

    CONCLUSION: A better understanding of the factors associated with urbanisation will help us to identify and implement new biological and social approaches to prevent and treat diseases and improve health globally by deepening our understanding of these relationships and increasing studies across urbanisation gradients.HIGHLIGHTSHuman gut microbiota have been linked to almost every important function, including metabolism, intestinal homeostasis, immune system, biosynthesis of vitamins, brain processes, and behaviour.However, dysbiosis i.e., alteration in the composition and diversity of gut microbiota is associated with the pathogenesis of many chronic conditions.In the 21st century, urbanisation represents a major demographic shift in developed and developing countries.During this period of urbanisation, humans have been exposed to many environmental exposures, all of which have led to the dysbiosis of human gut microbiota.The main focus of the review is to discuss and summarise the major risk factors associated with urbanisation and how it affects the diversity and composition of gut microbiota which ultimately affects human health.

    Matched MeSH terms: Urbanization
  11. Johnstone M
    Int Migr Rev, 1983;17(2):291-322.
    PMID: 12339134
    "This article examines some of the links between the phenomena of urban migration and squatter settlements in the Third World city. This will be done by demonstrating that both are outcomes of fundamental social and political forces that have operated on these societies. Migration and squatting are placed in a context of the historical processes that led to the uneven development of Malaysia. The article offers some explanation for the origin of the inequalities observed in spatial structures--in this case urban housing--by focusing on one of the contributory factors, namely migration."
    Matched MeSH terms: Urbanization*
  12. Normaz Wana Ismail, Sudha Sivadas
    MyJurnal
    Introduction: Urbanisation is a key determinant of population health. Malaysia’s exemplary economic growth in the early 1990s and the consequent development and urbanisation led to significant changes in health, lifestyle and quality of life. Rising expectations, changing demographics and nutrition and disease transitions were challenges synonymous to an increasingly urban Malaysia. As the Government targets optimal population health, this paper aims to explore one of the many challenges of urbanisation, namely the prevalence of non-communicable diseases or NCDs. For the purpose of this paper, NCD is proxied by Diabetes Mellitus. Methods: This study is based the 2015 National Health and Morbidity Survey, which is a cross-sectional population-based survey, involving 30,000 re- spondents. Given the binomial nature of the survey variables, the multinomial Probit model was employed using the STATA statistical software. Results: Generally, age, gender and race are significant in determining health outcomes. Socioeconomically, all three variables of income, education and employment are significant. For lifestyle factors, findings show that only the weight and physically active status have a role in determining health outcomes. Finally, the urban variable is also positive and significant. Conclusion: Findings show that the prevalence of Diabetes Melli- tus, is rising along with urbanisation and that there is a health penalty for the urban population and also for those who do not embrace healthy lifestyles. Additionally, other factors are equally important as urban health determinants, encompassing both the demographic and socioeconomic factors.
    Matched MeSH terms: Urbanization
  13. Ling OHL, Siti Nur Afiqah Mohamed Musthafa, Abdul Rauf Abdul Rasam
    Sains Malaysiana, 2014;43:1405-1414.
    Environmental health in general is referring to the aspect of concern on healthy environment, and the interrelations between environment and human health. Due to the urbanization, urban development is changing the natural environment into a man-made environment. Along with the process, level of environmental quality and human health are decreased. Air quality as reference shows that urban ambient air is more polluted than rural. Due to high density of human population and their activities in urban areas, it produces air pollutants with higher rate as compared to less-developed areas. Air pollutants contribute to various health problems. People suffering from respiratory diseases are the most likely to be affected by air pollution. This paper aimed to examine the rate of respiratory infection among residents in an urban growth corridor (Petaling Jaya-Shah Alam-Klang) and the relationship with the urban land uses, traffic volume and air quality. There were four major types of data used in this study i.e., respiratory infection of the respondents, air quality, land use and traffic volume. A health questionnaire survey was carried out besides the secondary data collection from the various government departments. Relationship analysis was performed between respiratory health and the urban factors (air quality, traffic volume and land uses). The study found out that the relationship between the respiratory health and the urban factors is different in city-wide land use and traffic factors, as compared to the localised air quality and land use factors. To conclude, the urban factors are potentially affecting the respiratory health.
    Matched MeSH terms: Urbanization
  14. Ng CW, Shahari MR, Mariapun J, Hairi NNM, Rampal S, Mahal A
    Health Syst Reform, 2017 Jul 03;3(3):159-170.
    PMID: 31514671 DOI: 10.1080/23288604.2017.1342746
    An analysis of population coverage of hypertension treatment services can be used to make inferences about the performance of primary care services within health systems. Malaysia, an upper middle-income country, has a well-established primary care system but one that favors rural populations and provision of services for maternal and child health and infectious diseases. Demographic factors including rapid aging, urbanization, as well as lifestyle changes characteristic of a modernizing society have led to an increase in noncommunicable diseases, including hypertension. In this article, we used data from a nationally representative household health survey to develop service coverage indicators for hypertension screening and treatment services. The age-standardized prevalence of hypertension was estimated to be 33.9% (95% confidence interval [CI], 33.9, 33.9). Only 39.0% (95% CI, 37.5, 40.6) of adults with hypertension had been diagnosed by a medical practitioner, 35.7% had been on treatment, and 9.6% had blood pressure controlled under treatment. The diagnosis, treatment, and controlled treatment coverage were higher for older persons compared to younger persons. There were no differences in the diagnosis and treatment coverage between urban and rural areas and between ethnic groups. However, controlled treatment coverage was higher among Chinese and those living in urban areas. Our findings suggest that primary care services in Malaysia may need to intensify health education activities to promote screening services. There is also a need to reprioritize activities to provide regular community health screening of adults and increase access to affordable primary care services, especially in the urban areas.
    Matched MeSH terms: Urbanization
  15. Masrani AS, Nik Husain NR, Musa KI, Yasin AS
    J Prev Med Public Health, 2022 Jan;55(1):80-87.
    PMID: 35135051 DOI: 10.3961/jpmph.21.461
    OBJECTIVES: Dengue remains hyperendemic in Malaysia despite extensive vector control activities. With dynamic changes in land use, urbanisation and population movement, periodic updates on dengue transmission patterns are crucial to ensure the implementation of effective control strategies. We sought to assess shifts in the trends and spatial patterns of dengue in Kelantan, a north-eastern state of Malaysia (5°15'N 102°0'E).

    METHODS: This study incorporated data from the national dengue monitoring system (eDengue system). Confirmed dengue cases registered in Kelantan with disease onset between January 1, 2016 and December 31, 2018 were included in the study. Yearly changes in dengue incidence were mapped by using ArcGIS. Hotspot analysis was performed using Getis-Ord Gi to track changes in the trends of dengue spatial clustering.

    RESULTS: A total of 10 645 dengue cases were recorded in Kelantan between 2016 and 2018, with an average of 10 dengue cases reported daily (standard deviation, 11.02). Areas with persistently high dengue incidence were seen mainly in the coastal region for the 3-year period. However, the hotspots shifted over time with a gradual dispersion of hotspots to their adjacent districts.

    CONCLUSIONS: A notable shift in the spatial patterns of dengue was observed. We were able to glimpse the shift of dengue from an urban to peri-urban disease with the possible effect of a state-wide population movement that affects dengue transmission.

    Matched MeSH terms: Urbanization
  16. Solarin SA, Nathaniel SP, Bekun FV, Okunola AM, Alhassan A
    Environ Sci Pollut Res Int, 2021 Apr;28(14):17942-17959.
    PMID: 33410031 DOI: 10.1007/s11356-020-11637-8
    Studies have shown that factors like trade, urbanization, and economic growth may increase the ecological footprint (EFP) since ecological distortions are mainly human-induced. Therefore, this study explores the effect of economic growth and urbanization on the EFP, accounting for foreign direct investment and trade in Nigeria, using data from 1977 to 2016. This study used the EFP variable as against the CO2 emissions used in the previous studies since the former is a more comprehensive and extensive measure of environmental quality. We apply the novel dynamic autoregressive distributed lag (ARDL) simulations for model estimation, the Bayer and Hanck J Time Ser Anal 34: 83-95, (2013) combined cointegration, and the ARDL bounds test for cointegration. Although the results affirmed the presence of long-run relationship among the variables, economic growth deteriorates the environment in the short run, while urbanization exacts no harmful impact. In the long run, FDI and trade deteriorate the environment while economic growth adds to environmental quality. It is recommended that policymakers strengthen the existing environmental regulations to curtail harmful trade and provide rural infrastructures to abate urban anomaly.
    Matched MeSH terms: Urbanization
  17. Godil DI, Ahmad P, Ashraf MS, Sarwat S, Sharif A, Shabib-Ul-Hasan S, et al.
    Environ Sci Pollut Res Int, 2021 May;28(17):21486-21498.
    PMID: 33415625 DOI: 10.1007/s11356-020-11839-0
    This study is a scholarly effort to broaden the existing literature on the impact of transportation services, urbanization, and financial development on ecological footprints in Pakistan. Data used in this study covers the period of 39 years from 1980 to 2018. This study adopted the QARDL model to tackle the non-linear association of variables and test their long-run stability across the different quantiles. The findings of this study indicated a significant negative association of transportation services and financial development with ecological footprints in Pakistan at almost all quantiles whereas, the urban population was found to be positively associated with the ecological footprint in Pakistan. Results also justify the existence of the EKC hypothesis in the scenario of Pakistan. Policymakers are advised to frame strategies for investors to invest more in eco-friendly projects to curtail the ecological footprints in Pakistan. Minimizing the dependency of the transportation sector on fossil fuel, and increased use of energy-efficient appliances in the urban population would be beneficial to control the negative influence on ecological footprints in Pakistan.
    Matched MeSH terms: Urbanization*
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