Basic ecology of the Oaxacan Spiny-tailed Iguana Ctenosaura oaxacana (Squamata: Iguanidae), in Oaxaca, Mexico by Tamara Rioja, Arturo Carrillo-Reyes, Eduardo Espinoza-Medinilla, Sergio López-Mendoza

“…Although this species has a very restricted distribution and is in danger of extinction, C. oaxacana has a high population density when compared to other Ctenosaura species. …”
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Demography of zooplankton (Anuraeopsis fissa, Brachionus rubens and Moina macrocopa) fed Chlorella vulgaris and Scenedesmus acutus cultured on different media by Jesús Morales-Ventura, S. Nandini, S.S.S Sarma, Maria Elena Castellanos-Páez

“…Thus, regardless of the culture medium used, the growth rates of the evaluated zooplankton species were higher with Chlorella than with Scenedesmus. The peak population density was highest (2 800ind/mL) for A. fissa fed Chlorella that was cultured on liquid fertilizers, while B. rubens and M. macrocopa had peak abundances of 480 and 12ind/mL, respectively under similar conditions.…”
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Outbreak of Orthotomicus erosus (Coleoptera, Curculionidae) on Aleppo Pine in the Mediterranean Region in Croatia by Milan Pernek, Nikola Lacković, Ivan Lukić, Nikola Zorić, Dinka Matošević

“…Increase in temperature may stimulate changes in insects’ rate of development, voltinism, population density, size, genetic composition, extent of host plant exploitation, longitudinal and latitudinal distribution. …”
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Spatial modeling, risk mapping, change detection, and outbreak trend analysis of coronavirus (COVID-19) in Iran (days between February 19 and June 14, 2020) by Hamid Reza Pourghasemi, Soheila Pouyan, Bahram Heidari, Zakariya Farajzadeh, Seyed Rashid Fallah Shamsi, Sedigheh Babaei, Rasoul Khosravi, Mohammad Etemadi, Gholamabbas Ghanbarian, Ahmad Farhadi, Roja Safaeian, Zahra Heidari, Mohammad Hassan Tarazkar, John P. Tiefenbacher, Amir Azmi, Faezeh Sadeghian

“…A polynomial relationship was identified between the coronavirus infection rate and the province population density. Also, a third-degree polynomial regression model for deaths showed an increasing trend recently, indicating that subsequent measures taken to cope with the outbreak have been insufficient and ineffective. …”
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Uso de sistemas de informação geográfica em campanhas de vacinação contra a raiva Uso de sistemas de información geográfica en campañas de vacunación contra la rabia Use of geograp... by José Henrique de Hildebrand e Grisi-Filho, Marcos Amaku, Ricardo Augusto Dias, Hildebrando Montenegro Netto, Noemia Tucunduva Paranhos, Maria Cristina Novo Campos Mendes, José Soares Ferreira Neto, Fernando Ferreira

“…RESULTS: Estimated figures were 1,490,500 dogs and 226,954 cats in the city, i.e. an animal population density of 1138.14 owned animals per km². In the 2002 campaign, 926,462 were vaccinated, resulting in a vaccination coverage of 54%. …”
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Spatio-temporal pattern and associate factors of intestinal infectious diseases in Zhejiang Province, China, 2008–2021: a Bayesian modeling study by Zhixin Zhu, Yan Feng, Lanfang Gu, Xifei Guan, Nawen Liu, Xiaoxia Zhu, Hua Gu, Jian Cai, Xiuyang Li

“…The greater the population density, the higher the risk of BD (RR = 1.29, 95% CI: 1.23–1.36), enteric fever (RR = 1.12, 95% CI: 1.00–1.25), and HEV (RR = 1.15, 95% CI: 1.09–1.21). …”
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Application of the Multi-Scale Infrastructure for Chemistry and Aerosols version 0 (MUSICAv0) for air quality research in Africa by W. Tang, L. K. Emmons, H. M. Worden, R. Kumar, C. He, B. Gaubert, Z. Zheng, S. Tilmes, R. R. Buchholz, S.-E. Martinez-Alonso, C. Granier, C. Granier, C. Granier, A. Soulie, K. McKain, B. C. Daube, J. Peischl, J. Peischl, C. Thompson, P. Levelt, P. Levelt, P. Levelt

“…This suggested focus region exhibits the largest model–in situ observation discrepancies, as well as targets for high population density, land cover variability, and anthropogenic pollution sources.…”
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Influence of grazing on the activity pattern and temporal niche of two dominant rodent species in Alxa desert by Xin Li, Xin Li, Xin Li, Shuai Yuan, Shuai Yuan, Shuai Yuan, Linlin Li, Linlin Li, Linlin Li, Haoting Zhang, Haoting Zhang, Haoting Zhang, Yonglin Jin, Yonglin Jin, Yonglin Jin, Lina Liu, Lina Liu, Lina Liu, Rong Zhang, Rong Zhang, Rong Zhang, Fan Bu, Fan Bu, Fan Bu, Shanshan Sun, Shanshan Sun, Shanshan Sun, Heping Fu, Heping Fu, Heping Fu, Xiaodong Wu, Xiaodong Wu, Xiaodong Wu

“…However, the key factors driving rodent behavioral activities and coexistence in the Alxa desert remains unstudied. We monitored population density and behavioral activities of Midday gerbil (Meriones meridianus) and northern three-toed jerboa (Dipus sagitta) in a grazing exclusion experiment in Alxa desert, Inner Mongolia, China, in 2017. …”
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Influence of Sociodemographic Determinants on the Hodgkin Lymphoma Baseline Characteristics in Long Survivors Patients Enrolled in the Prospective Phase 3 Trial AHL2011 by Steeve Chevreux, Sandra de Barros, Camille Laurent, Amandine Durand, Cyrille Delpierre, Philippine Robert, Clémentine Joubert, Samuel Griolet, Salim Kanoun, Jean-Noël Bastie, René-Olivier Casasnovas, Cédric Rossi

“…Sociodemographic data—marital status, living area, level of education, socio-professional category, and professional situation—were extracted from the questionnaires. The population density at the point of diagnosis was determined based on ZIP Code, and the distance from the reference medical center was then calculated by the road network. …”
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The Interreg Project AdSWiM: Managed Use of Treated Wastewater for the Quality of the Adriatic Sea by Sabina Susmel, Federico Girolametti, Viviana Fonti, Federico Figueredo, Viviana Scognamiglio, Amina Antonacci, Vincenzo Manna, Josipa Bilić, Vice Soljan, Nicola De Bortoli, Tommaso Martin, Michele Mion, Toni Kekez, Roko Andricevic, Sondes Ben Aissa, Mauro Celussi, Anna Annibaldi

“…Results have shown that it can be tricky to draw decisive conclusions because (i) the wastewater management systems differ between the two sides of the Adriatic sea due to the different levels of technological development of WWTPs; (ii) the Italian and Croatian coasts deeply differ in geographic characteristics (i.e., topography, orography, current circuits, presence of rivers) and anthropogenic pressure (i.e., exploitation levels, population density); (iii) the new treatment technologies to lower bacterial contamination need further efforts to raise their technological level of readiness (TRL) and make them implementable in the existing WWTPs. …”
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A comprehensive reappraisal of long-term aerosol characteristics, trends, and variability in Asia by S. Jin, Y. Ma, Y. Ma, Z. Huang, J. Huang, W. Gong, W. Gong, W. Gong, B. Liu, W. Wang, R. Fan, H. Li

“…Among regions in Asia, high values of aerosol optical depth (AOD) are mainly concentrated in East Asia (EA) and South Asia (SA) and are closely related to the population density. The AOD in EA showed the most significant negative trend, with a value of <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M1" display="inline" overflow="scroll" dspmath="mathml"><mrow><mo>-</mo><mn mathvariant="normal">5.28</mn><mo>×</mo><msup><mn mathvariant="normal">10</mn><mrow><mo>-</mo><mn mathvariant="normal">4</mn></mrow></msup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="65pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="bdedece8c9790eaccb041d0b74ae861e"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-23-8187-2023-ie00001.svg" width="65pt" height="14pt" src="acp-23-8187-2023-ie00001.png"/></svg:svg></span></span> per year, mainly owing to decreases in organic carbon (OC), black carbon (BC), and dust aerosols. …”
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Spatiotemporal Distribution of Tuberculosis in the Oromia Region of Ethiopia: A Hotspot Analysis by Dereje Bekele, Solomon Aragie, Kefyalew Addis Alene, Tariku Dejene, Samson Warkaye, Melat Mezemir, Dereje Abdena, Tesfaye Kebebew, Abera Botore, Geremew Mekonen, Gadissa Gutema, Boja Dufera, Kolato Gemede, Birhanu Kenate, Dabesa Gobena, Bizuneh Alemu, Dagnachew Hailemariam, Daba Muleta, Gilman Kit Hang Siu, Ketema Tafess

“…The spatiotemporal distribution of notified TB incidence was positively associated with different ecological variables including temperature (β = 0.142; 95% credible interval (CrI): 0.070, 0.215), wind speed (β = −0.140; 95% CrI: −0.212, −0.068), health service coverage (β = 0.426; 95% CrI: 0.347, 0.505), and population density (β = 0.491; 95% CrI: 0.390, 0.594). The findings of this study indicated that preventive measures considering socio-demographic and health system factors can be targeted to high-risk areas for effective control of TB in the Oromia region. …”
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Evaluation of make smart indicators in Yazd city using ANP model and GIS analysis by ali hasanabadi, seyed ali almodaresi, Ahmad Esteghlal

“…Finally, by combining the results of network analysis and digital GIS layers, the urban spaces of Yazd were analyzed and evaluated based on intelligent growth indicators.Results: According to the pairwise comparison, the weight of population density sub-indices with 0.66 is higher than other sub-indices and the weight of sewage route sub-index with 0.001 is less than other sub-indices. …”
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Where and when to vaccinate? Interdisciplinary design and evaluation of the 2018 Tanzanian anti-rabies campaign by Folorunso O. Fasina, Niwael Mtui-Malamsha, Gladys R. Mahiti, Raphael Sallu, Moses OleNeselle, Bachana Rubegwa, Yilma J. Makonnen, Fred Kafeero, Martin Ruheta, Hezron E. Nonga, Emmanuel Swai, Selemani Makungu, Japhet Killewo, Edward G. Otieno, Athumani M. Lupindu, Erick Komba, Robinson Mdegela, Justine K. Assenga, Jubilate Bernard, Mohamed Hussein, Walter Marandu, James Warioba, Eliona Kaaya, Pius Masanja, Gundelinda Francis, Violet M. Kessy, Janique Savy, Hija Choyo, Justus Ochieng, Almira L. Hoogesteijn, Margaret M. Fasina, Ariel L. Rivas

“…Methods: Considering the local bio-geography and attempting to rapidly establish a protective ring around a city at risk, the first phase intervened on sites surrounding that city, where the population density was lower than in the city at risk. The second phase vaccinated a rural area. …”
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Optimization strategy of community planning for environmental health and public health in smart city under multi-objectives by Fujiang Chen, Fujiang Chen, Fujiang Chen, Fujiang Chen, Fujiang Chen, Wuyue She, Feng Zeng, Feng Zeng, Feng Zeng, Feng Zeng, Meiben Gao, Meiben Gao, Meiben Gao, Meiben Gao, Chao Wen, Guoxin Liu, Lixun Wu, Yang Wu, Chi Zhang

“…As population density increases, environmental hygiene and public health become increasingly severe. …”
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Forest restoration in India: opportunities and realities by Gopalakrishna, T

“…</p> <p>Overall, the thesis highlights the crucial need to consider contextual factors when planning forest restoration in India, including existing land uses and covers, distribution of human population density, natural disturbance regimes and priority areas delivering a variety of outcomes. …”

Tracking inclusive sustainable development at multiple scales: South Africa’s safe and just operating spaces by Cole, M

“…The results show significant variation in environmental stress and social deprivation related to climate, population density, economic activities and historical disadvantage brought about by Apartheid. …”

Vesicles in fatty acid salt-fatty acid stabilized o/w emulsion - emulsion structure and rheology by Niraula, B.B., Seng, T.N., Misran, M.

“…Non or a very small number of vesicles was observed at NaOH concentration below 0.4M, whilst in the presence of 0.4-0.8M NaOH the vesicle population increased substantially. While vesicle population density decreased past 0.8M NaOH, their size increased with NaOH concentration from 0.8 to 1M. …”

Molecular epidemiology of multiple drug resistant Acinetobacter baumannii from a major teaching hospital in Malaysia by Moghaddam, Mohammad Reza Babaei

“…Quorum sensing (QS) characteristic in bacterial allows it to monitor their population density through the production and sensing of small signal molecules known as auto inducers. …”
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Identification of Disparities in Personalized Cancer Care—A Joint Approach of the German WERA Consortium by Florian Lüke, Florian Haller, Kirsten Utpatel, Markus Krebs, Norbert Meidenbauer, Alexander Scheiter, Silvia Spoerl, Daniel Heudobler, Daniela Sparrer, Ulrich Kaiser, Felix Keil, Christoph Schubart, Lars Tögel, Sabine Einhell, Wolfgang Dietmaier, Ralf Huss, Sebastian Dintner, Sebastian Sommer, Frank Jordan, Maria-Elisabeth Goebeler, Michaela Metz, Diana Haake, Mithun Scheytt, Elena Gerhard-Hartmann, Katja Maurus, Stephanie Brändlein, Andreas Rosenwald, Arndt Hartmann, Bruno Märkl, Hermann Einsele, Andreas Mackensen, Wolfgang Herr, Volker Kunzmann, Ralf Bargou, Matthias W. Beckmann, Tobias Pukrop, Martin Trepel, Matthias Evert, Rainer Claus, Alexander Kerscher

“…Absolute patient numbers and regional distribution across the WERA-wide catchment area were weighted with local population densities; (3) Results: the highest MTB patient numbers were found close to the four cancer centers. …”
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