Ecological health assessment and sustainability prediction in coastal area: A case study in Xiamen Bay, China by Lingying Qian, Feifei Wang, Wen Cao, Sheng Ding, Wenzhi Cao

“…The results show that the overall ecological health level in Xiamen Bay continuously maintained <0.6 from 2005 to 2018, which is locating at critical and early warning status, and a shift from critical to good status starts in 2021; (2) under conditions of current development, the future population density, the total number of tourists arrived, artificial shoreline length, patch density, landscape diversity, habitat, and estuarine nutrient fluxes achieve the early warning status, which greatly constraining the sustainability of regional ecological health; (3) Global Orchestration is the most desirable ecosystem management model for the future. …”
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Techno-economic Assessment of a Hydrogen-based Islanded Microgrid in North-east by Tanvir Hasan, Kianoush Emami, Rakibuzzaman Shah, N.M.S. Hassan, Vitali Belokoskov, Max Ly

“…Hydrogen as a carrier of clean energy can be used in locations where the installation of extensive or medium-scale renewable energy facilities is not permissible due to population density, geographical constraints, government policies, and regulatory issues. …”
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Quick Predictions of Onset Times and Rain Amounts from Monsoon Showers over Urban Built Environments by Siddharth Gumber, Satyajit Ghosh

“…It was found that heavy precipitation over the North Chennai region yielded discharge rates to the tune of ~250 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mi mathvariant="normal">m</mi><mn>3</mn></msup><msup><mi mathvariant="normal">s</mi><mrow><mo>−</mo><mn>1</mn></mrow></msup></mrow></semantics></math></inline-formula> during a 24 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mrow><mi mathvariant="normal">h</mi></mrow></mrow></semantics></math></inline-formula> period, causing intense flooding in the low-lying areas around the Cooum River basin with a large population density, with estimates sufficiently corroborating observations.…”
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Analyzing the efficiency of Chinese primary healthcare institutions using the Malmquist-DEA approach: Evidence from urban and rural areas by Junxu Zhou, Rong Peng, Rong Peng, Yajun Chang, Zijun Liu, Songhui Gao, Chuanjun Zhao, Yixin Li, Qiming Feng, Xianjing Qin

“…In terms of dynamic efficiency, the urban PHCIs performed better than the rural, and the trends in the total factor productivity change were associated with favorable technology advancement. The population density and dependency ratio were the key factors on TE in both of the urban and rural PHCIs, and these two factors were positively correlated to TE. …”
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Using ecological niche modeling to predict the potential distribution of scrub typhus in Fujian Province, China by Xuan Li, Xianyu Wei, Wenwu Yin, Ricardo J. Soares Magalhaes, Yuanyong Xu, Liang Wen, Hong Peng, Quan Qian, Hailong Sun, Wenyi Zhang

“…The best predictive variables for scrub typhus occurrence were population density, annual mean normalized difference vegetation index, and land cover types. …”
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Hospitalization and readmission after single-level fall: a population-based sample by Alan Cook, Rebecca Swindall, Katherine Spencer, Carly Wadle, S. Andrew Cage, Musharaf Mohiuddin, Yagnesh Desai, Scott Norwood

“…Increasing income had a modest effect, where the highest zip code quartile was 9% less likely to be readmitted. Decreasing population density had a protective effect of readmission of 16%, comparing Non-Urban to Large Metropolitan. …”
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Impact of climate change on renewable groundwater resources: assessing the benefits of avoided greenhouse gas emissions using selected CMIP5 climate projections by Felix T Portmann, Petra Döll, Stephanie Eisner, Martina Flörke

“…Increases of GWR are more likely to occur in areas with below average population density, while GWR decreases of more than 30% affect especially (semi)arid regions, across all GCMs. …”
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Banco de sementes de plantas daninhas e sua correlação com a flora estabelecida no agroecossistema cana-crua Weed seedbank and its correlation with the established flora in no-burn... by M.A. Kuva, R.A. Pitelli, P.L.C.A. Alves, T.P. Salgado, M.C.D.M. Pavani

“…Lack of soil mobilization and the lack of sugarcane burning are two additional factors influencing weed flora composition and population densities. Field sampling was conducted in twenty-eight no-burn sugarcane areas to evaluate (i) seedbank composition and seed population densities and later (ii) weed community composition and population density. …”
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SARS-CoV-2 spread and area economic disadvantage in the italian three-tier restrictions: a multilevel approach by Luca Dei Bardi, Anna Acampora, Laura Cacciani, Mirko Di Martino, Nera Agabiti, Marina Davoli, Giulia Cesaroni

“…We also adjusted the analyses for potential confounders of the association between the province’s economic disadvantage and the Rt: the percentage of people with 0–5 years, the quartiles of population density, and the geographical repartition. Results Overall, we found increasing Rt in yellow (+ 0.004 p < 0.01, from Rt = 0.99 to 1.08 in three weeks) and containing effects for the orange (-0.005 p < 0.01, from Rt = 1.03 to 0.93) and the red tier (-0.014 p < 0.01, from Rt = 1.05 to 0.76). …”
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Development and validation of a rurality index for healthcare research in Japan: a modified Delphi study by Makoto Kaneko, Maria Mathews, Machiko Inoue, Takaaki Ikeda, Kemmyo Sugiyama, Thomas R Freeman, Manabu Saito, Ryuichi Ohta, Upul Cooray, Evelyn Vingilis

“…From the Delphi surveys, four factors were selected for the RIJ: population density, direct distance to the nearest hospital, remote islands and whether weather influences access to the nearest hospital. …”
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Identification of Ecological Risk “Source-Sink” Landscape Functions of Resource-Based Region: A Case Study in Liaoning Province, China by Shaoqing Wang, Yanling Zhao, He Ren, Shichao Zhu, Yunhui Yang

“…The influences of GDP and population density gradually weakened with the level. The influence of interaction between any two factors was stronger than the influence of a single factor on ecological risk. …”
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Selection of lactic acid bacteria for biopreservation of salmon products applying processing-dependent growth kinetic parameters and antimicrobial mechanisms by Jelena Stupar, Sunniva Hoel, Sigrid Strømseth, Jørgen Lerfall, Turid Rustad, Anita Nordeng Jakobsen

“…All selected strains were able to grow in sterile salmon juice at tested temperatures (4, 8, 12 and 16 °C), with specific growth rates (μ) ranging from 0.01 to 0.04/h at 4 °C and reaching a maximum population density of 8.4–9 log CFU/ml. All five strains tested for process-dependent growth kinetic parameters were able to grow in the range of 0.5–5% NaCl and 0.13–0.26% purified condensed smoke (VTABB and JJT01), with inter- and intraspecies variation in growth kinetics. …”
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Uso da geoestatística para caracterização da distribuição espacial de larvas de Diloboderus abderus Geostatistical use for characterization of the spatial distribution of larvae of... by Elder Dal Prá, Jerson Vanderlei Carús Guedes, Mariana Alejandra Cherman, Affonso Hermeto Jung, Silon Junior Procath da Silva, Giovana Ghisleni Ribas

“…The perimeters of the fields were delimited with global positioning system receptor, and the sampling grids dimensions were 70x70m. The population density was estimated by opening a trench in each sampling point. …”
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The non-stationary and spatially varying associations between hand, foot and mouth disease and multiple environmental factors: A Bayesian spatiotemporal mapping model study by Li Shen, Minghao Sun, Mengna Wei, Qingwu Hu, Yao Bai, Zhongjun Shao, Kun Liu

“…The influence of population density on HFMD was not only limited by spatial location, but also varied between high and low intervals. …”
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Density of Aedes aegypti and Aedes albopictus and its association with number of residents and meteorological variables in the home environment of dengue endemic area, São Paulo, B... by Marianni de Moura Rodrigues, Gisela Rita Alvarenga Monteiro Marques, Lígia Leandro Nunes Serpa, Marylene de Brito Arduino, Júlio Cesar Voltolini, Gerson Laurindo Barbosa, Valmir Roberto Andrade, Virgília Luna Castor de Lima

“…Our data show that human population density positively affects the number of Ae. aegypti females within the residence. …”
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Quantitative Analysis of Natural and Anthropogenic Factors Influencing Vegetation NDVI Changes in Temperate Drylands from a Spatial Stratified Heterogeneity Perspective: A Case Stu... by Shengkun Li, Xiaobing Li, Jirui Gong, Dongliang Dang, Huashun Dou, Xin Lyu

“…Precipitation, livestock density, wind speed, and population density were the dominant factors affecting NDVI changes in the Inner Mongolian grasslands, explaining more than 15% of the variability, while the contributions of the two topography factors (terrain slope and slope aspect) were relatively low (less than 2%). …”
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Regional Differences and Influencing Factors of Allocation Efficiency of Rural Public Health Resources in China by Tao Liu, Jixia Li, Juan Chen, Shaolei Yang

“…The economic development level, the living conditions and the population density are the important influencing factors of the allocation efficiency differences of the rural public health resources in the three regions. …”
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Epidemiological characteristics of SARS-CoV-2 infection outbreak in Shanghai in the Spring of 2022 by XIAN Linfeng, LIN Jiansheng, YU Shichong, ZHAO Yue, ZHAO Pei, CAO Guangwen

“…SARS-CoV-2 of the Omicron BA2 strain is likely transmitted through aerosols and droplets， which poses a great challenge to the control of the COVID-19 pandemic in large cities with high population density and sophisticated public transportation.…”
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Influence of Tree Species and Size on Bark Browsing by Large Wild Herbivores by Bohdan Konôpka, Vladimír Šebeň, Jozef Pajtík, Lisa A. Shipley

“…Karst.) in areas of Central Europe that are greatly affected by increasing population density of LWH, especially red deer.…”
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Urban Ecological Quality Assessment Based on Remote Sensing Data in African Context: A Case Study of Tangier City (Morocco, NW Africa) by Mounia Tahiri, Hicham Bahi, Tarik Bouramtane, Anass Malah, Anas Sabri, Ismail Mohsine, Ilias Kacimi

“…The results show that on the one hand, zones located in the center of the city kept poor ecological quality in the three studied years, where the lack of green spaces and the high population density are the main reasons for this bad state. …”
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