Optimisation of Indoor Spatial and Temporal Aspects of Deep Architectural Studio on Visual Comfort by Rizky Amalia Achsani, Surjamanto Wonorahardjo, Sugeng Triyadi

“…This study aims to identify the conditions affecting visual comfort and potential interventions on spatial and temporal aspects of a room. …”
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Spatial analysis of metabolic syndrome among healthcare workers in a suburban area by Apriningsih Apriningsih, Ayu Arini Firlia, Meiyetriani Eflita

“…This study aims to investigate the prevalence and spatial distribution of metabolic syndrome (MetS), obesity, hypertension, and high cholesterol levels among health workers in Depok City. 614 respondents were surveyed, with most female (75.1%) and aged 25-34 (44.3%). …”
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Spatial analysis of socioeconomic data and its relationship with illicit crops in Nariño-Colombia. by Andrés Fernando Grajales-Marín, Fabio Humberto Sepúlveda-Murillo, Alex Tapia, Alexander Tabares

“…This study investigates the extent to which the spatial distribution of socioeconomic factors explains coca cultivation patterns in Nariño. …”
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Spatial inequalities of COVID-19 incidence and associated socioeconomic risk factors in Portugal by Ricardo Almendra, Paula Santana, Claudia Costa

“…The spatial context was defined as a function of the number of neighbours; the bandwidth was determined through AIC. …”
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Exploring the sensitivity of episodic and spatial memory tests to healthy and pathological cognitive aging by Gina Michallat-Bragg, Megan Bennett, Bethany Iona Flewitt, Sayed Kazmi, Sarah Jane Smith, Christine Wells, Annabel Hollins, Charlotte Ash, Sarah Thwaites, Wendy Neil, David Howett, Sarah Dexter-Smith, Dennis Chan, James Dachtler, Steven Poulter, Stephen Evans, Stephen Evans, Colin Lever

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Socioeconomic and Spatial Determinants of Dog Abandonment and Adoption in the Republic of Korea (2021–2023) by HyungChul Rah

“…In contrast, comprehensive income tax amounts—a proxy for regional wealth—were positively correlated with the percentage of dog abandonments reported in 2021 and 2023. Spatial Lag Models accounted for over 50% of the variance in the number of dog abandonments, confirming spatial dependence and highlighting the importance of geographically targeted animal welfare interventions. …”
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Joint Spatial Analysis of Low Birth Weight and Stunting in West African Countries by Ezra Gayawan, Nihinlolawa Grace Alo

“…Conclusion The study provides insight into the spatial pattern of LBW and stunting among West African children and can be useful in targeted interventions in regions with high burden of LBW and malnutrition which may include more advocacy that promote the use of antenatal care services during pregnancy. …”
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Quantifying spatial gradients in coral reef benthic communities using multivariate dispersion by Alice K. Lawrence, Adel Heenan, Gareth J. Williams

“…Localized management interventions that strive to maintain the long-term persistence and function of coral reefs need to be informed by how and why reef habitats vary. …”
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Spatial association of biosocial and economic factors with reproductive women obesity in urban India. by Priya Das, Subhadeep Saha, Tanu Das, Partha Das, Tamal Basu Roy

“…The study aims to focus on the identification of cluster of districts with obese urban women and its spatial association with selected spatial determining explanatory factors.This study utilized secondary data obtained from the fifth round of the National Family Health Survey (NFHS-5), 2019-2021.The study performed spatial cluster of districts through univariate Moran's I and its association with selected determining factors through bivariate Local Indicator of Spatial Association (BiLISA). …”
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Spatial and temporal modeling of conflict related fatality and public health implications in Nigeria by Osafu Augustine Egbon, Asrat Mekonnen Belachew, Mariella Ananias Bogoni, Ezra Gayawan, Francisco Louzada

“…Abstract Fatality resulting from violent conflicts poses a critical public health challenge in Nigeria, straining healthcare systems, disrupting resource allocation, and necessitating targeted interventions to curb the prevalence and strengthen community resilience. …”
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Statistical Analysis of Spatial Distribution of Tuberculosis in Niger State from 2016-2020 by Samson Balogun, Emmanuel Oguntade, Damilare Oladimeji

“…Today, it is the second leading cause of death from a single infectious disease agent. Spatial information on health-related diseases like TB is not well documented in Nigeria. …”
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Spatial interpolation of health and demographic variables: Predicting malaria indicators with and without covariates. by Camille Morlighem, Chibuzor Christopher Nnanatu, Corentin Visée, Atoumane Fall, Catherine Linard

“…Overall, socioeconomic indicators were generally better predicted by covariate-based models (e.g., random forest and Bayesian models), while methods using spatial autocorrelation alone (e.g., thin plate splines) performed better for variables with heterogeneous spatial structure, such as ethnicity and malaria prevention indicators. …”
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Spatial Heterogeneity of Intratumoral Microbiota: A New Frontier in Cancer Immunotherapy Resistance by Qiwen Tan, Xiongjing Cao, Falong Zou, Hanwenchen Wang, Lijuan Xiong, Shenghe Deng

“…Recent studies have revealed that the intratumoral microbiota is not uniformly distributed but instead exhibits significant spatial heterogeneity, with its distribution patterns influenced by factors such as tumor anatomy, local immune status, and therapeutic interventions. …”
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A Bayesian Hierarchical Model for Estimation of Abundance and Spatial Density of Aedes aegypti. by Daniel A M Villela, Claudia T Codeço, Felipe Figueiredo, Gabriela A Garcia, Rafael Maciel-de-Freitas, Claudio J Struchiner

“…Accurate measurements of mosquito abundance in time and space are required to optimize the success of such interventions. In this paper, we present a hierarchical probabilistic model for the estimation of population abundance and spatial distribution from typical mosquito MRR experiments, with direct application to the planning of these new control strategies. …”
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BCG vaccination decline and pediatric tuberculosis rise in Brazil: spatial-temporal study by Fabiana Rabe Carvalho, Alice Ramos-Silva, Debora Castanheira Pires, Carla Veras Yigashira Oliveira, Claudete Aparecida Araújo Cardoso, Clemax Couto Sant’Anna, Elisangela Costa Lima, Andrea Alice Silva

“…We investigated tuberculosis incidence and vaccination coverage in all Brazilian municipalities. Spatial dependence was analyzed by the Global Moran Index and Local Indicators of Spatial Association (LISA). …”
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Neurocysticercosis in Ecuador: Spatial clustering, social determinants, and epidemiological trends (2017-2023). by Andrés Fernando Vinueza-Veloz, Marlon Fabricio Calispa-Aguilar, Pamela Vinueza-Veloz, Tannia Valeria Carpio-Arias, Jefferson Santiago Piedra-Andrade, María Fernanda Vinueza-Veloz, Belkys Galindo-Santana

“…Data were aggregated at the municipality level. Spatial clustering was assessed using Local Indicators of Spatial Association (LISA). …”
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Geo-spatial analysis of high-risk fertility behaviors and child stunting in Ethiopia by Wondaya Fenta Zewdia, Daniel Asmelash, Yemane Asmelash

“…Spatial model analysis, specifically the spatial Durbin model, was used to examine the association between HRFB of birth and stunting in children. …”
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Scene construction deficits in adolescent PTSD are in sensory, rather than spatial, imagery by Hannah Marlatte, Hannah Marlatte, Jennifer D. Ryan, Jennifer D. Ryan, Jennifer D. Ryan, Asaf Gilboa, Asaf Gilboa

“…These findings provide broader insights into PTSD-related cognitive changes during development and inform interventions for this population that focus on sensory experiencing to promote embodiment, even within one’s “mind’s eye”.…”
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Comparison of spatial prediction models from Machine Learning of cholangiocarcinoma incidence in Thailand by Oraya Sahat, Supot Kamsa-ard, Apiradee Lim, Siriporn Kamsa-ard, Matias Garcia-Constantino, Idongesit Ekerete

“…Conclusion The Random Forest model demonstrated the highest efficiency in predicting CCA incidence rates in Thailand, though predictive performance varied across regions. Spatial factors effectively predicted ASR of CCA, providing valuable insights for national-level disease surveillance and targeted public health interventions. …”
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Remote sensing and spatial analysis for estimating vegetation fire risk in the Puglia Region by Cillis G, Nolè G, De Santis F, Pirone L, Donvito D, Ronco Francesco V, Lanorte A

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