Mechanisms and thresholds of land use affecting surface water quality in Hangzhou City’s residential areas by Qianhu Chen, Jinye Huang

“…Green spaces per unit area must perform environmental purification in high-rise residential areas due to their higher population density, which puts more demands on their design and ecological service activities. …”
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Neonatal and perinatal mortality in the urban continuum: a geospatial analysis of the household survey, satellite imagery and travel time data in Tanzania by Lenka Benova, Claudia Hanson, Aliki Christou, Aline Semaan, Peter M Macharia, Jessie Pinchoff, Andrea B Pembe

“…The coordinates of 527 DHS clusters were spatially overlaid with the 2015 Global Human Settlement Layer, showing the degree of urbanisation based on built environment and population density. A three-category urbanicity measure (core urban, semi-urban and rural) was defined and compared with the binary DHS measure. …”
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Ecosystem services value for water provisioning in the Shule River Basin of northwestern China: Spatial and temporal evolution and drivers from 2000 to 2022 by Peng Shi, Dongmei Zhou, Jing Jiang, Jing Ma, Xiaoyan Zhu, Jun Zhang, Zihe Li, Qinghan Dong

“…Following the order of decreasing importance, these were land cover, land-use type, topographic surface (represented by the DEM), precipitation, temperature, population density, and economic activity (represented by nighttime lighting). …”
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How Does Heavy Precipitation of Varying Durations Respond to Urbanization in China? by Xue Xie, Kairong Lin, Mingzhong Xiao, Xudong Zhou, Gang Zhao, Dai Yamazaki

“…Anthropogenic‐related factors (population density, nighttime light data, impervious surface percent, land surface temperature) significantly influence shorter‐duration heavy precipitation in more UACs than natural factors (distance from the coast, wind and elevation), while natural factors dominate longer‐duration events in larger UACs across China. …”
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Geospatial mapping of drug-resistant tuberculosis prevalence in Africa at national and sub-national levels by Alemneh Mekuriaw Liyew, Archie C.A. Clements, Fasil Wagnew, Beth Gilmour, Kefyalew Addis Alene

“…Factors such as mean temperature (β = 2.01; 95% CrI: 1.21, 3.42), population density (β = 0.41; 95% CrI: 0.19, 0.95), and fine particulate matter (β = 0.66; 95% CrI: 0.20, 0.80) were positively associated with DR-TB prevalence. …”
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Predicting the effects of introducing an emergency transport system in low-income and middle-income countries: a spatial-epidemiological modelling study by Justine Davies, Dmitri Nepogodiev, Stephen Tabiri, Richard Lilford, Srinivasa Vittal Katikireddi, Samuel I Watson, Katie Scandrett

“…We apply the model to the illustrative case study of providing emergency transport for postpartum haemorrhage in Northern Ghana.Results The model predicts that the effects of an ambulance service are likely to be ephemeral, varying according to local circumstances such as population density and road networks. In our applied example, the introduction of the ambulance service may save 40 lives (95% credible interval 5 to 111), or up to 107 lives (95% credible interval −293 to –13) may be lost across the region in a year, dependent on various model assumptions and parameter specifications. …”
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Spatial epidemiology based on the analysis of COVID-19 in Africa by Joyce Akhalakwa Mukolwe, John Kamwele Mutinda, Amos Kipkorir Langat

“…Socioeconomic factors, including the human development index (HDI), GDP, and population density, also significantly affect both case rates and vaccination coverage. …”
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The Spatio-temporal Evolution of NDVI in the Three Gorges Reservoir Area Driven by the Synergistic Effect of two Factors over the Past 21 Years by QI Haimei, ZHENG Peilong, WANG Yunqi, WANG Jiani, LI Cheng, ZHANG Xiaoming

“…[Results] (1) The change of NDVI in the Three Gorges Reservoir Area showed an overall ascending trend from 2000 to 2020, with a mean annual rate of increase at 2.89×10-3/a, and the value of NDVI increased from the southwestern to the northeastern parts of the area. (2) Elevation, population density, and surface temperature are pivotal factors that significantly account for the variability observed in NDVI, with an explanatory power for each exceeding the threshold of 0.4. (3) Elevation and nocturnal illumination are the key interactive drivers of NDVI in the Three Gorges Reservoir Area, with a pronounced q value of 0.641. …”
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Lessons learnt from measures taken to prevent rabies introduction and spread into a long rabies free territory (case study of the Irkutsk Oblast) by I. V. Meltsov, A. M. Ablov, E. N. Shkolnikova, M. E. Koplik, P. A. Minchenko, T. V. Desyatova, I. D. Zarva, A. D. Botvinkin, A. Ye. Metlin

“…The paper demonstrates cartograms of fox and wolf population density along with designation of sites, where oral vaccination of wild carnivores was performed.…”
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Assessment of vulnerability to fluvial floods: Case of municipalities of the Gidra River Basin, Slovakia by Matej Vojtek, Soheyl Moradi

“…Material and methods: Three indicators (number of buildings within a 100 m radius from the watercourse; length of roads within a 100 m radius from the watercourse; and number of bridges over a watercourse) representing the economic vulnerability, and seven indicators of social vulnerability (population density of municipalities; share of residents aged 65+ in the total number of residents; share of unemployed residents in the total number of economically active residents; share of households with six and more persons in the total number of households; share of incomplete households in the total number of households; share of residents without education and with primary education in the the total number of residents; and share of residents with disabilities in the total number of residents) were used to determine the respective economic flood vulnerability sub-index (EFVsI) and social flood vulnerability sub-index (SFVsI). …”
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Chlamydia cases in women of reproductive age, 2006–2020: an analysis of surveillance data from Southern China by Peizhen Zhao, Peng Liang, Jinshen Wang, Wenqian Xu, Shujie Huang, Cheng Wang

“…City-level factors (population density, net migration rate, and male-to-female sex ratio) were derived from the Guangdong Statistical Yearbook and the Guangdong Health and Family Planning Statistical Yearbook. …”
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Environmental sustainability of urban expansion: Implications for transport emissions, air pollution, and city growth by Susana Lopez-Aparicio, Henrik Grythe, Arkadiusz Drabicki, Konrad Chwastek, Kamila Toboła, Lidia Górska-Niemas, Urszula Kierpiec, Miha Markelj, Joanna Strużewska, Bartosz Kud, Gabriela Sousa Santos

“…Results indicate that a compact future scenario reduces transport CO2 emissions and urban NO2 levels, though increases in population density raise exposure to air pollution. A sprawl future scenario increases CO2 and NOx emissions due to longer commutes and congestion, and NO2 levels increase up to 25% in parts of the city. …”
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Characteristics, location, and usage patterns of resting burrows in Chinese pangolins: Insights from radio-telemetry tracking by Nick Ching-Min Sun, Jing-Shiun Lin, Kurtis Jai‑Chyi Pei

“…To conclude the findings:1) burrow count, while useful for identifying pangolin presence, is not a suitable quantitative indicator of population density. 2) Most resting burrows had compacted soil at the entrance, which could be mistaken for old or inactive burrows in other studies. 3) Resting burrows function as permanent structures that are reused across seasons instead of seasonal adaptations. 4) Preserving low-disturbance habitats will be critical for ensuring sufficient resting burrow sites, thereby supporting the long-term viability of pangolin populations. …”
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Investigating Escherichia Coli (E. Coli) Contamination of Street Foods in Manjari Kabale District. by Unasi, Daniel

“…To cater for the high population density in kabale municipality, native people maneuvered to attain sustainability and among food supply was most important to maintain life in these urban areas. …”
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Environmental microbial communications in gram-positive and gram-negative bacteria by P. Srikanth, D. Sivakumar, J. Nouri

“…The concentration of these signalling substances rises above a critical level when the population density does, causing particular gene expression patterns in the microorganisms. …”
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Trend analysis of precipitation and temperature in Lahaul-Spiti district, Himachal Pradesh, India by Pankaj Kumar, Dhanjit Deka, Md. Arif Husain, Manish Kumar, Pandurang Choudhari, Shipra Singh, Azka Kamil, Abhishek Banerjee

“…The district has the lowest population density of 2 persons/km2 because of the harsh climate and rough topography that act as barriers to population growth. …”
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Cross-Sectional Survey to Assess Tobacco and Nicotine Product Use since the Introduction of Heated Tobacco Products in Japan: Wave 2 by Prasad Krishna, Shetty Mandara, Edward Lauren, Kanitscheider Claudia, Marczykowski Felix

“…A 3-stage probability sampling method was applied that was geographically stratified by street blocks proportionate to population density. Respondents self-reported patterns of product use and reasons for HTP use. …”
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Hotspots in peril: Misalignment of conservation efforts and ecological values in a shallow coastal sea by Kasper J. Meijer, Oscar Franken, Sterre Witte, Sander J. Holthuijsen, Tjisse van der Heide, Laura L. Govers, Han Olff

“…Such conflicts are especially found in coastal areas with high human population density and high natural productivity. Here, we aim to provide a framework to quantitatively and qualitatively assess conservation conformity using multiple indicators to identify hotspots of ecological quality. …”
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Assessment of ecological environment quality and their drivers in urban agglomeration based on a novel remote sensing ecological index by Fangyuan Lu, Chen Zhang, Haoyu Cao, Xibin Wang, Tong Zheng, Zhenfang Huang

“…However, notable regional disparities exist, with a spatial pattern characterized by “low EEQ in the northwest and high in the southeast.” (2) An analysis of NRSEI variations over this period indicates that the YRDUA’s EEQ has remained largely stable, although ecological degradation is concentrated in densely populated, low-lying areas near lakes, rivers, and plains. (3) Topographic complexity, economic development, and population density are the primary factors driving spatial differences in EEQ, with interactive effects among these factors exerting a more significant influence than individual factors alone.…”
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Interspecific Competition Between <i>Eotetranychus sexmaculatus</i> Riley and <i>Oligonychus biharensis</i> Hirst (Acari: Tetranychidae) by Lijiu Zheng, Yong Zhang, Xia Shi, Wei Gan, Fangping Zhang, Yueguan Fu, Ya Liu, Junyu Chen, Zhengpei Ye

“…Five initial population densities of <i>E. sexmaculatus</i> and <i>O. biharensis</i> were evaluated in mixed populations: 0:30, 10:20, 15:15, 20:10, and 30:0. …”
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