Exploring fine-scale urban landscapes using satellite data to predict the distribution of Aedes mosquito breeding sites.

BACKGROUND: The spread of mosquito-transmitted diseases such as dengue is a major public health issue worldwide. The Aedes aegypti mosquito, a primary vector for dengue, thrives in urban environments and breeds mainly in artificial or natural water containers. While the relationship between urban landscapes and potential breeding sites remains poorly understood, such a knowledge could help mitigate the risks associated with these diseases. This study aimed to analyze the relationships between urban landscape characteristics and potential breeding site abundance and type in cities of French Guiana (South America), and to evaluate the potential of such variables to be used in predictive models. METHODS: We use Multifactorial Analysis to explore the relationship between urban landscape characteristics derived from very high resolution satellite imagery, and potential breeding sites recorded from in-situ surveys. We then applied Random Forest models with different sets of urban variables to predict the number of potential breeding sites where entomological data are not available. RESULTS: Landscape analyses applied to satellite images showed that urban types can be clearly identified using texture indices. The Multiple Factor Analysis helped identify variables related to the distribution of potential breeding sites, such as buildings class area, landscape shape index, building number, and the first component of texture indices. Models predicting the number of potential breeding sites using the entire dataset provided an R² of 0.90, possibly influenced by overfitting, but allowing the prediction over all the study sites. Predictions of potential breeding sites varied highly depending on their type, with better results on breeding sites types commonly found in urban landscapes, such as containers of less than 200 L, large volumes and barrels. The study also outlined the limitation offered by the entomological data, whose sampling was not specifically designed for this study. Model outputs could be used as input to a mosquito dynamics model when no accurate field data are available. CONCLUSION: This study offers a first use of routinely collected data on potential breeding sites in a research study. It highlights the potential benefits of including satellite-based characterizations of the urban environment to improve vector control strategies.

Ticks and spirochetes of the genus Borrelia in urban areas of Central-Western Poland.

Due to the extensive use of green urban areas as recreation places, city residents are exposed to tick-borne pathogens. The objectives of our study were (i) to determine the occurrence of ticks in urban green areas, focussing on areas used by humans such as parks, schools and kindergartens, and urban forests, and (ii) to assess the prevalence of Borrelia infections in ticks in Zielona Góra, a medium-sized city in western Poland. A total of 161 ticks representing the two species Ixodes ricinus (34 males, 51 females, 30 nymphs) and Dermacentor reticulatus (20 males, 26 females) were collected from 29 of 72 (40.3%) study sites. In total, 26.1% of the ticks (85.7% of I. ricinus and 14.3% of D. reticulatus) yielded DNA of Borrelia. The difference in the infection rate between I. ricinus and D. reticulatus was significant. Among infected ticks, the most frequent spirochete species were B. lusitaniae (50.0%) and B. afzelii (26.2%), followed by B. spielmanii (9.5%), B. valaisiana (7.1%), B. burgdorferi sensu stricto, (4.8%) and B. miyamotoi (2.4%). No co-infections were found. We did not observe a correlation in the occurrence of Borrelia spirochetes in ticks found in individual study sites that differed in terms of habitat type and height of vegetation. Our findings demonstrate that the Borrelia transmission cycles are active within urban habitats, pointing the need for monitoring of tick-borne pathogens in public green areas. They could serve as guidelines for authorities for the proper management of urban green spaces in a way that may limit tick populations and the potential health risks posed by tick-borne pathogens.

Visualization and Analysis of Urban Air Quality Management Using Bibliometric Techniques and Social Network Analysis for the Period 1975 to 2022: A Review.

This study uses bibliometric techniques and social network analysis to evaluate 318 publications on air quality management in cities worldwide. The relevant data were retrieved from the Scopus database and analyzed using the VOSviewer 1.6.7 tools. The analysis included the number of publications, citation analyses, research study area analyses, and the most common keywords from 1975 to November 6, 2022. In addition, based on the results of the cluster analysis, we developed co-occurrence networks that enable a more specific keyword classification. The visualization showed the existing relationships between key terms, research study areas, and publications dealing with air quality management in cities. China, the United States, and the United Kingdom led in terms of the number of scientific publications and overall strength of connections during the study period. The most productive journal was Science of the Total Environment, followed by Atmospheric Environment, and the International Journal of Environmental Research and Public Health. Several limitations of the study are described and recommendations are made for future studies to increase the scope of studies and facilitate urban air quality management.

Can IMERG QPE product capture the heavy rain on urban flood scale?

Urban areas are increasingly vulnerable to sudden flooding disasters caused by intense rainfall and high imperviousness degree, resulting in great economic losses and human casualties. Interactions between rainfall data and urban catchment characteristics highlight the urgent need of accurate and effective precipitation data to apply in reliable hydrological simulations. However, it remains a challenge to obtain accurate rainfall datasets on such small scales in urban areas. As satellite remote sensing is the only method that can achieve global observation, it is important to evaluate satellite precipitation products in their ability to accurately capture intense precipitation on urban flood scales. This study evaluates the performance of the latest version 06B (V06B) Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG) in North China Plain, with using the Radar-Gauge merged precipitation estimates as reference data. First, it could be concluded that IMERG fails to accurately estimate precipitation in the whole study area, having the problem of overestimating light precipitation and underestimating heavy precipitation. Second, results show that IMERG has poor ability to capture heavy precipitation on small scales, with the percentage of Hit nearly 0 and the percentage of Miss higher than 40 % for all the precipitation cases. Third, with the expansion of heavy precipitation centers' coverage, the problem of IMERG not to detect heavy precipitation gets mitigated, with the percentage of Miss decreasing by 14 % (19 %). However, the ability to capture both spatial location and precipitation intensity is still not good, the percentage of Hit ranging from 0.05 % to 7 %, without obvious improvement. When IMERG is able to capture the center of strong precipitation, it also tends to overestimate the weak precipitation around the center of strong precipitation. Results of this study provide an improved understanding of how well the V06B IMERG products capture the heavy precipitation center at small scales in urban areas, which will be useful for both developers and users of IMERG.

Natural background levels, source apportionment and health risks of potentially toxic elements in groundwater of highly urbanized area.

Identifying the natural background levels (NBLs), threshold values (TVs), sources and health risks of potentially toxic elements in groundwater is crucial for ensuring the water security of residents in highly urbanized areas. In this study, 96 groundwater samples were collected in urban area of Sichuan Basin, SW China. The concentrations of potentially toxic elements (Li, Fe, Cu, Zn, Al, Pb, B, Ba and Ni) were analyzed for investigating the NBLs, TVs, sources and health risks. The potentially toxic elements followed the concentration order of Fe > Ba > B > Al > Zn > Li > Cu > Ni > Pb. The NBLs and TVs indicated the contamination of potentially toxic elements mainly occurred in the northern and central parts of the study area. The Positive Matrix Factorization (PMF) model identified elevated concentrations of Fe, Al, Li, and B were found to determine groundwater quality. The primary sources of Fe, Al, Pb, and Ni were attributed to the dissolution of oxidation products, with Fe additionally affected by anthropogenic reduction environments. Li and B were determined to be originated from the weathering of tourmaline. High levels of Ni and Cu concentrations were derived from electronic waste leakage, while excessive Ba and Zn were linked to factory emissions and tire wear. The reasonable maximum exposure (RME) of hazard index (HI) was higher than safety standard and reveal the potential health risks in the southwestern study area. Sensitivity analysis demonstrated the Li concentrations possessed the highest weight contributing to health risk. This study provides a valuable information for source-specific risk assessments of potentially toxic elements in groundwater associated with urban areas.

Method for analyzing urban waterlogging mechanisms based on a 1D-2D water environment dynamic bidirectional coupling model.

Urban waterlogging is a significant global issue. To achieve precisely control urban waterlogging and enhance our understanding of its causes, a novel study method was introduced. This method is based on a dynamic bidirectional coupling model that combines 1D-2D hydrodynamic and water quality simulations. The waterlogging phenomenon in densely populated metropolitan areas of Changzhi city, China, was studied. This study focused on investigating the process involved in waterlogging formation, particularly overflow at nodes induced by the design of the topological structure of the pipe network, constraints on the capacity of the underground drainage system, and the surface runoff accumulation. The complex interplay among these elements and their possible influences on waterlogging formation were clarified. The results indicated notable spatial and temporal variation in the waterlogging formation process in densely populated urban areas. Node overflow in the drainage system emerged as the key influencing factor in the waterlogging formation process, accounting for up to 71% of the total water accumulation at the peak time. The peak lag time of waterlogging during events with short return periods was primarily determined by the rainfall peak moment. In contrast, the peak time of waterlogging during events with long return periods was influenced by the rainfall peak moment, drainage capacity and topological structure of the pipe network. Notably, the access of inflow from both upstream and downstream segments of the pipe network drainage system significantly impacted the peak time of waterlogging, with upstream water potentially delaying the peak time substantially. This study not only provides new insights into urban waterlogging mechanisms but also provides practical guidance for optimizing urban drainage systems, urban planning, and disaster risk management.

Trauma Care Systems in Urban Areas: Our Thoughts on the Contrasting Approaches in South Korea and Japan.

Trauma is a major global health issue, causing significant mortality, disability, and healthcare expenses. Since 2012, the Ajou Trauma Center in South Korea has been at the forefront, providing centralized severe trauma care for a population of 9.5 million. In 2022, the center managed 3,500 cases of severe trauma, including 500 helicopter transports, and conducted 2,800 surgeries, with 450 addressing torso trauma. Its exceptional performance has garnered global recognition, solidifying its position among the top advanced trauma centers. In Tokyo, critically ill and major trauma patients are currently transported to the nearest emergency and critical care centers, each serving a population of approximately 0.5 to 0.6 million people. Due to the low incidence of trauma per facility and an aging population, implementing a high level of trauma care and a comprehensive training framework within Japan's existing system poses significant challenges. A comparative analysis of South Korea's centralized system and Tokyo's decentralized approach indicates that the centralized system may lead to the establishment of a more advanced trauma center with ethical and equity considerations, compared to the decentralized approach. Therefore, consolidating major trauma cases in Tokyo shows promise for establishing exceptional trauma centers. This emphasizes the urgent need for Japan to take immediate steps towards a more robust future in trauma care. This assertion aligns with the global discourse on improving trauma care practices and could make a valuable contribution to the scholarly literature on trauma care systems.

BREATH-Net: a novel deep learning framework for NO2 prediction using bi-directional encoder with transformer.

Air pollution poses a significant challenge in numerous urban regions, negatively affecting human well-being. Nitrogen dioxide (NO2) is a prevalent atmospheric pollutant that can potentially exacerbate respiratory ailments and cardiovascular disorders and contribute to cancer development. The present study introduces a novel approach for monitoring and predicting Delhi's nitrogen dioxide concentrations by leveraging satellite data and ground data from the Sentinel 5P satellite and monitoring stations. The research gathers satellite and monitoring data over 3 years for evaluation. Exploratory data analysis (EDA) methods are employed to comprehensively understand the data and discern any discernible patterns and trends in nitrogen dioxide levels. The data subsequently undergoes pre-processing and scaling utilizing appropriate techniques, such as MinMaxScaler, to optimize the model's performance. The proposed forecasting model uses a hybrid architecture of the Transformer and BiLSTM models called BREATH-Net. BiLSTM models exhibit a strong aptitude for effectively managing sequential data by adeptly capturing dependencies in both the forward and backward directions. Conversely, transformers excel in capturing extensive relationships over extended distances in temporal data. The results of this study will illustrate the proposed model's efficacy in predicting the levels of NO2 in Delhi. If effectively executed, this model can significantly enhance strategies for controlling urban air quality. The findings of this research show a significant improvement of RMSE = 9.06 compared to other state-of-the-art models. This study's primary objective is to contribute to mitigating respiratory health issues resulting from air pollution through satellite data and deep learning methodologies.

Green cities and vector-borne diseases: emerging concerns and opportunities.

Aligned with the Sustainable Development Goals, nature-based solutions such as urban greening e.g. public gardens, urban forests, parks and street trees, which aim to protect, sustainably manage or restore an ecosystem, have emerged as a promising tool for improving the health and well-being of an ever-increasing urban population. While urban greening efforts have undeniable benefits for human health and the biological communities inhabiting these green zones, disease vector populations may also be affected, possibly promoting greater pathogen transmission and the emergence of infectious diseases such as dengue, West Nile fever, malaria, leishmaniosis and tick-borne diseases. Evidence for the impact of urban green areas on vector-borne disease (VBD) transmission is scarce. Furthermore, because of vast disparities between cities, variation in green landscapes and differing scales of observation, findings are often contradictory; this calls for careful assessment of how urban greening affects VBD risk. Improved understanding of the effect of urban greening on VBDs would support planning, monitoring and management of green spaces in cities to sustainably mitigate VBD risks for surrounding urban populations.

Impacts of ship emissions and sea-land breeze on urban air quality using chemical characterization, source contribution and dispersion model simulation of PM2.5 at Asian seaport.

Fine particulate matter (PM2.5) emitted from marine transportation, bulk materials handling at the docks, and dust dispersion has garnered increased attention, particularly in the interface between port and urban areas. This study explored the inter-transport of PM2.5 between Kaohsiung Harbor and neighboring Metro Kaohsiung. Chemical analyses of PM2.5 samples from four sites include water-soluble ions, metallic elements, carbons, anhydrosugars, and organic acids to establish PM2.5's chemical fingerprints. The CALPUFF air dispersion model is employed to simulate the spatiotemporal distribution of PM2.5 in Kaohsiung Harbor and adjacent urban areas. A clear seasonal and diurnal variation of PM2.5 concentrations and chemical composition was observed in both harbor and urban areas. The high correlation of nighttime PM2.5 levels between the port and urban areas suggests inter-transport phenomena. Sea salt spray, ship emissions, secondary aerosols, and heavy fuel-oil boilers exhibit higher levels in the port area than in the urban area. In Metro Kaohsiung, mobile sources, fugitive dust, and waste incinerators emerge as major PM2.5 contributors. Furthermore, sea breeze significantly influences PM2.5 dispersion from Kaohsiung Harbor to Metro Kaohsiung, particularly in the afternoon. The average contribution of PM2.5 from ships' main engines in Kaohsiung Harbor ranges from 2.9% to 5.3%, while auxiliary engines contribute 3.8%-8.3% of PM2.5 in Metro Kaohsiung.

Assessment of asbestos-cement roof distribution and prioritized intervention approaches through hyperspectral imaging.

The discernment of asbestos-cement (AC) roofs within urban areas stands as a pivotal concern pertinent to communal well-being and ecological oversight, particularly in emerging nations where asbestos continues to be extensively employed. Conventional methodologies entailing the recognition of asbestos-cement roofs and the characterization of their degradation status, such as tangible examinations and laboratory assays, prove to be temporally protracted, financially demanding, and arduous to extrapolate comprehensively across expansive urban domains. In this paper, it is presented a novel approach for identifying asbestos-cement roofs in urban areas using hyperspectral airborne acquisition and carry out a diagnosis that allows to identify the state of asbestos-cement roofs and thus provide a tool for the competent authorities to develop and prioritize intervention strategies to mitigate the problem. Four different methodologies were implemented and compared, three of which are new in the literature, to identify the deterioration of asbestos-cement (AC) roof state in large urban areas. This, in turn, furnishes a tool for competent authorities to identify the state of AC roofs, develop and prioritize intervention strategies to mitigate the problem. The control points in field allowed validating the classification and the proposed methodology for the prioritization of intervention in AC roofs. Some neighborhoods in the city showed peaks in the area of asbestos-cement roofs of 47% of the total area of the neighborhood, representing practically all of the roofs present in the neighborhood. On average around 20% of the total area of a neighborhood in Cartagena is covered by AC. Furthermore, it was found a total area of AC roofs throughout the city of more than 9 km2 (9 million square meters). On the other hand, two of the 4 methods used showed encouraging results that demonstrate their ability to identify covers in poor and good condition at a large scale from hyperspectral images. This academic novelty suggests that there is a possibility of practical application of these methods in other urban contexts with high concentrations of AC roofs, helping in the planning and optimization of intervention strategies to mitigate the risk in public and environmental health due to the presence of asbestos.

Research on Time Series Monitoring of Surface Deformation in Tongliao Urban Area Based on SBAS-PS-DS-InSAR.

As urban economies flourish and populations become increasingly concentrated, urban surface deformation has emerged as a critical factor in city planning that cannot be overlooked. Surface deformation in urban areas can lead to deformations in structural supports of infrastructure such as road bases and bridges, thereby posing a serious threat to public safety and creating significant safety hazards. Consequently, research focusing on the monitoring of urban surface deformation holds paramount importance. Interferometric synthetic aperture radar (InSAR), as an important means of earth observation, has all-day, wide-range, high-precision, etc., characteristics and is widely used in the field of surface deformation monitoring. However, traditional solitary InSAR techniques are limited in their application scenarios and computational characteristics. Additionally, the manual selection of ground control points (GCPs) is fraught with errors and uncertainties. Permanent scatterers (PS) can maintain high interferometric coherence in man-made building areas, and distributed scatterers (DS) usually show moderate coherence in areas with short vegetation; the combination of DS and PS solves the problem of manually selecting GCPs during track re-flattening and regrading, which affects the monitoring results. In this paper, 45 Sentinel-1B data from 16 February 2019 to 14 December 2021 are used as the data source in the urban area of Horqin District, Tongliao City, Inner Mongolia Autonomous Region, for example. A four-threshold (coherence coefficient threshold, FaSHPS adaptive threshold, amplitude divergence index threshold, and deformation velocity interval) GCPs point screening method for PS-DS, as well as a Small Baseline Subset-Permanent Scatterers-Distributed Scatterers-Interferometric Synthetic Aperture Radar (SBAS-PS-DS-InSAR) method for selecting PS and DS points as ground control points for orbit refinement and re-flattening, are proposed. The surface deformation results obtained using the Small Baseline Subset Interferometric Synthetic Aperture Radar (SBAS-InSAR) and the SBAS-PS-DS-InSAR proposed in this paper were comparatively analysed and verified. The maximum cumulative line-of-sight settlements were -90.78 mm and -83.68 mm, and the maximum cumulative uplifts are 74.94 mm and 97.56 mm, respectively; the maximum annual average line-of-sight settlements are -35.38 mm/y and -30.38 mm/y, and the maximum annual average uplifts are 25.27 mm/y and 27.92 mm/y. The results were evaluated and analysed in terms of correlation, mean absolute error (MAE), and root mean square error (RMSE). The deformation results of the two InSAR methods were evaluated and analysed in terms of correlation, MAE, and RMSE. The errors show that the Pearson correlation coefficients between the vertical settlement results obtained using the SBAS-PS-DS-InSAR method and the GPS monitoring results were closer to 1. The maximum MAE and RMSE were 13.7625 mm and 14.8004 mm, respectively, which are within the acceptable range; this confirms that the monitoring results of the SBAS-PS-DS-InSAR method were better than those of the original SBAS-InSAR method. SBAS-InSAR method, which is valid and reliable. The results show that the surface deformation results obtained using the SBAS-InSAR, SBAS-PS-DS-InSAR, and GPS methods have basically the same settlement locations, extents, distributions, and temporal and spatial settlement patterns. The deformation results obtained using these two InSAR methods correlate well with the GPS monitoring results, and the MAE and RMSE are within acceptable limits. By comparing the deformation information obtained using multiple methods, the surface deformation in urban areas can be better monitored and analysed, and it can also provide scientific references for urban municipal planning and disaster warning.

Utilisation of public healthcare services by an indigenous group: a mixed-method study among Santals of West Bengal, India.

A barrier to meeting the goal of universal health coverage in India is the inequality in utilisation of health services between indigenous and non-indigenous people. This study aimed to explore the determinants of utilisation, or non-utilisation, of public healthcare services among the Santals, an indigenous community living in West Bengal, India. The study holistically explored the utilisation of public healthcare facilities using a framework that conceptualised service coverage to be dependent on a set of determinants - viz. the nature and severity of the ailment, availability, accessibility (geographical and financial), and acceptability of the healthcare options and decision-making around these further depends on background characteristics of the individual or their family/household. This cross-sectional study adopts ethnographic approach for detailed insight into the issue and interviewed 422 adult members of Santals living in both rural (Bankura) and urban (Howrah) areas of West Bengal for demographic, socio-economic characteristics and healthcare utilisation behaviour using pre-tested data collection schedule. The findings revealed that utilisation of the public healthcare facilities was low, especially in urban areas. Residence in urban areas, being female, having higher education, engaging in salaried occupation and having availability of private allopathic and homoeopathic doctors in the locality had higher odds of not utilising public healthcare services. Issues like misbehaviour from the health personnel, unavailability of medicine, poor quality of care, and high patient load were reported as the major reasons for non-utilisation of public health services. The finding highlights the importance of improving the availability and quality of care of healthcare services for marginalised populations because these communities live in geographically isolated places and have low affordability of private healthcare. The health programme needs to address these issues to improve the utilisation and reduce the inequality in healthcare utilisation, which would be beneficial for all segments of Indian population.

Inseguridad alimentaria nutricional y riesgo metabólico en mujeres adultas de distritos de Lima, Perú / Food and nutrition insecurity and metabolic risk in adult women from Lima, Perú

Introducción: La inseguridad alimentaria nutricional (IAN) es un problema complejo que conlleva a adaptaciones económicas, alimentarias y fisiológicas en las personas, pudiendo impactar negativamente en su estado de salud según el contexto particular.Objetivo: Determinar la asociación entre la inseguridad alimentaria nutricional (IAN) y el riesgo metabólico en mujeres adultas de Lima.Material y Métodos: Se realizó un estudio observacional analítico transversal, con una población de 373 mujeres adultas fueron seleccionadas 186 que eran atendidas por establecimientos de salud públicos en distritos de Lima. El nivel de IAN se midió con la Escala Latinoamericana y del Caribe de Seguridad Alimentaria (ELCSA) y el riesgo metabólico con el test Finnish Diabetes Risk Score (FINDRISC). Se usó la prueba de Chi cuadrado para medir la asociación y la Razón de Prevalencia (RP) para determinar la probabilidad de presentar mayor riesgo metabólico.Resultados: El 96.8% de mujeres tuvo algún nivel de IAN: 34.9% severa, 33.9% moderada y 28% leve. La prevalencia de mujeres con riesgo metabólico alto y muy alto fue de 59.2%. La asociación entre IAN moderada (RP: 2.15, IC: 1.34-3.43) y severa (RP: 2.98, IC: 1.93-4.63) con el riesgo metabólico fue significativa.Conclusiones: Los resultados sugieren que el riesgo metabólico se asocia con la IAN en mujeres adultas de Lima. En ese sentido, identificar la IAN pudiese tener implicaciones positivas en la prevención de un problema importante de salud pública.(AU)

Introduction: Food and nutrition insecurity (FNI) is acomplex problem that entails economic, nutritional and phys-iological adaptations in people, which might negatively im-pacts their health status according to the particular context. Objective: To determine the association between FNI andmetabolic risk in adult women in Lima.Materials and methods: A cross-sectional observationalanalytical study was conducted, the sample was made up of186 women assisted in public health establishments in dis-tricts of Lima. FNI level was assessed using the LatinAmerican and Caribbean Food Security Scale (ELCSA) and themetabolic risk with the Finnish Diabetes Risk Score test (FINDRISC). Chi square test was used to assess the association and Prevalence Ratio (PR) to determine the probability ofpresenting a higher metabolic risk. Results: 96.8% of women showed some level of FNI:34.9% severe, 33.9% moderate and 28% mild. The preva-lence of women with high and very high metabolic risk was59.2%. The association between moderate (PR: 2.15, CI:1.34-3.43) and severe (PR: 2.99, CI: 1.93-4.63) FNI withmetabolic risk was significant. Conclusions: The results indicate that metabolic risk is asociated with FNI in adult women from Lima. Therefore, theidentification of FNI would be positive implications in the pre-vention of an important public health problem.(AU)

Entomological indicators of Plasmodium species transmission in Goma Tsé-Tsé and Madibou districts, in the Republic of Congo.

BACKGROUND: Malaria remains a major public health problem in the Republic of Congo, with Plasmodium falciparum being the deadliest species of Plasmodium in humans. Vector transmission of malaria is poorly studied in the country and no previous report compared rural and urban data. This study aimed to determine the Anopheles fauna and the entomological indices of malaria transmission in the rural and urban areas in the south of Brazzaville, and beyond. METHODS: Indoor household mosquitoes capture using electric aspirator was performed in rural and urban areas during raining and dry seasons in 2021. The identification of Anopheles species was done using binocular magnifier and nested-PCR. TaqMan and nested-PCR were used to detect the Plasmodium species in the head/thorax and abdomens of Anopheles. Some entomological indices including the sporozoite infection rate, the entomological inoculation rate and the man biting rate were estimated. RESULTS: A total of 699 Anopheles mosquitoes were collected: Anopheles gambiae sensu lato (s.l.) (90.7%), Anopheles funestus s.l. (6.9%), and Anopheles moucheti (2.4%). Three species of An. gambiae s.l. were identified including Anopheles gambiae sensu stricto (78.9%), Anopheles coluzzii (15.4%) and Anopheles arabiensis (5.7%). The overall sporozoite infection rate was 22.3% with a predominance of Plasmodium falciparum, followed by Plasmodium malariae and Plasmodium ovale. Anopheles aggressiveness rate was higher in households from rural area (1.1 bites/night) compared to that from urban area (0.8 ib/p/n). The overall entomological inoculation rate was 0.13 ib/p/n. This index was 0.17 ib/p/n and 0.092 ib/p/n in rural and in urban area, respectively, and was similar during the dry (0.18 ib/p/n) and rainy (0.14 ib/p/n) seasons. CONCLUSION: These findings highlight that malaria transmission remains high in rural and urban area in the south of Republic of Congo despite the ongoing control efforts, thereby indicating the need for more robust interventions.

Significance of Volatile Organic Compounds to Secondary Pollution Formation and Health Risks Observed during a Summer Campaign in an Industrial Urban Area.

The chemical complexity and toxicity of volatile organic compounds (VOCs) are primarily encountered through intensive anthropogenic emissions in suburban areas. Here, pollution characteristics, impacts on secondary pollution formation, and health risks were investigated through continuous in-field measurements from 1-30 June 2020 in suburban Nanjing, adjacent to national petrochemical industrial parks in China. On average, the total VOCs concentration was 34.47 ± 16.08 ppb, which was comprised mostly by alkanes (41.8%) and halogenated hydrocarbons (29.4%). In contrast, aromatics (17.4%) dominated the ozone formation potential (OFP) and secondary organic aerosol formation potential (SOAFP) with 59.6% and 58.3%, respectively. Approximately 63.5% of VOCs were emitted from the petrochemical industry and from solvent usage based on source apportionment results, followed by biogenic emissions of 22.3% and vehicle emissions of 14.2%. Of the observed 46 VOC species, hexachlorobutadiene, dibromoethane, butadiene, tetrachloroethane, and vinyl chloride contributed as high as 98.8% of total carcinogenic risk, a large fraction of which was ascribed to the high-level emissions during ozone pollution episodes and nighttime. Therefore, the mitigation of VOC emissions from petrochemical industries would be an effective way to reduce secondary pollution and potential health risks in conurbation areas.

Influence of Brazil's public health policies on physical activity promotion in urban areas

The research aims to determine the influence of Brazil's public health policies on promoting physical activity in urban areas. An overview of the impact of Brazilian public health initiatives on encouraging physical exercise in metropolitan areas is given in the study. Brazil has put in place a wide range of regulations to combat non-communicable disease and promote healthy living. The cornerstone of the approach is the National Health Promotion Policy, which highlights the incorporation of physical exercise into everyday activities. Research used smart PLS software to measure the research and generated informative results, including descriptive statistics, correlation coefficient, and smart PLS Algorithm model. The goal of infrastructure development, urban planning, and educational initiatives is to provide settings that support active living. Campaigns for health promotion and community involvement support these initiatives by raising awareness and encouraging behavioral change. These policies will only be successful if they are implemented well, are continuously assessed, and are flexible. Overall result found the positive and significant influence of Brazil's public health policies on physical activity promotion in the urban areas. Brazil's dedication to encouraging physical exercise indicates the global recognition of the significance of preventative health measures. Sustained endeavors towards this end might foster a more robust and engaged urban populace in Brazil (AU)

Personal protective equipment (PPE) litter in terrestrial urban areas of Iligan City, Philippines.

In recent years, many countries have relied on the massive use of personal protective equipment (PPE) following the recommendation of the World Health Organization (WHO) to combat COVID-19, an infectious disease caused by the SARS-CoV-2 virus. These PPEs include facemasks, face shields, disinfectant wipes, and disposable gloves. While PPE serves as protection, it can also be a source of pollution. This study is the first to establish a baseline monitoring and assessment of the spatial distribution of COVID-19-related PPE litter approaching the post-pandemic from the urban areas in Iligan City, Philippines. A total of 1632 COVID-19 PPE litter were gathered in all surveyed locations, predominantly facemasks (90.7%) and disinfectant wipes (8.8%). Among the surveyed areas, the location that recorded the highest count and density of PPE litter is in a residential zone (52.14%; n = 851; 0.0317 item m-2); the lowest was determined in recreational parks (2.57%; n = 42; 0.0016 item m-2). The significant difference in the total count of PPE items in each location could be traced to the varying land uses and ecosystems as well as the human behavior and activities. FTIR results reveal that all types of facemasks sampled are principally made of polypropylene, a material that threatens environmental sustainability and low recyclability. As the country is embracing the new normal and somewhat returning to pre-pandemic activities, this study calls for the prioritization of the government agendas on ecological solid waste management in the country.

Dataset on Bac settlement stakeholders' perspectives on integrative urban design play as an instrument for managing wicked urban regeneration issues in sustainable way.

The presented data provides insights into the perspectives of influential stakeholders within the Bac community in Serbia regarding sustainable urban regeneration, urban design, and the role of integrative urban design. The data was collected subsequent to a collaborative workshop held in 2010, titled ``Integrative Urban Design Play (IUP) for Urban Regeneration on Bac Suburbia.'' During this workshop, attendees acquired novel insights into participatory approaches for fostering sustainable urban regeneration. The objective of the survey was to assess the perspectives of the different stakeholders regarding the feasibility of introducing novel urban development approaches in areas that are under conservation protection. The intent of the research was to evaluate the effectiveness of a learning by doing approach in the implementation of new methods in urban development practise, with a focus on supporting broader concepts such as sustainability and urban regeneration. The research was designed to explore the varying perspectives of relevant stakeholders based on their profession to examine the potential for their clustering towards integrating diverse opinions into a broader understanding using IUP. The efficacy of the IUP in addressing wicked urban regeneration problems, particularly in raising public awareness about the preservation, introduction, and promotion of essential values in protected suburban regions, was assessed through the administration of questionnaires. The questions were organised into three distinct categories: viewpoints on sustainable urban regeneration, perspectives on urban design, and perspectives on knowledge and readiness for future engagement in the Integrative Urban Design Game. A collaborative effort was undertaken by the Faculty of Architecture in Belgrade and the Municipality of Bac, Serbia, to administer an anonymous survey. This survey was disseminated to pertinent stakeholders representing the public sector. The participants in the research exhibited diversity in terms of their occupation, level of experience, and age range, which spanned from 30 to 60 years old. They were chosen from among the attendees of the workshop based on their demonstrated interest, whether overt or covert, in addressing the complex issue at hand. A total of 28.57 percent of the participants were employed in the economic sector, specifically in tourism or management. Similarly, 14.28 percent of the examinees worked in the field of environmental studies, focusing on energy efficiency or natural resource protection. Another 14.28 percent were engaged in the legal profession, while 21.42 percent were involved in media and cultural activities. Additionally, 7.14 percent of the examinees were dedicated to the preservation of cultural heritage. The present paper presents findings that illustrate the level of stakeholder receptiveness towards the sustained utilization of integrative methodologies, such as IUP, within the realm of local planning practice subsequent to the acquisition of novel knowledge and skills via workshops and training sessions. This paper showcases the efficacy of employing participatory techniques and skills to modify urban development and planning practices, with the aim of fostering shared understanding and agreement on environmental values. Consequently, it provides evidence of the effectiveness of the implemented approach within the specific community, as well as its potential applicability in similar communities.

Aircraft-Based AirCore Sampling for Estimates of N2O and CH4 Emissions.

Airborne measurements offer an effective way to quantify urban emissions of greenhouse gases (GHGs). However, it may be challenging due to the requirement of high measurement precision and sufficiently enhanced signals. We developed a new active AirCore system based on the previous unmanned aerial vehicle (UAV) version, which is capable of sampling atmospheric air for several hours aboard a lightweight aircraft for postflight simultaneous and continuous measurements of N2O, CH4, CO2, and CO. We performed 13 flights over the urban areas of Groningen, Utrecht, and Rotterdam and evaluated the aircraft-based AirCore measurements against in situ continuous CH4 measurements. One flight was selected for each of the three urban areas to quantify the emissions of N2O and CH4. Compared to the Dutch inventory, the estimated N2O emissions (364 ± 143 kg h-1) from the Rotterdam area are ∼3 times larger, whereas those for Groningen (95 ± 90 kg h-1) and Utrecht (32 ± 16 kg h-1) are not significantly different. The estimated CH4 emissions for all three urban areas (Groningen: 2534 ± 1774 kg CH4 hr-1, Utrecht: 1440 ± 628 kg CH4 hr-1, and Rotterdam: 2419 ± 922 kg CH4 hr-1) are not significantly different from the Dutch inventory. The innovative aircraft-based active AirCore sampling system provides a robust means of high-precision and continuous measurements of multiple gas species, which is useful for quantifying GHG emissions from urban areas.