This study evaluated the effect of population estimation on the calculation of drug biomarker consumption using wastewater-based epidemiology. Population estimates using mobile phone data, census data, and wastewater quality parameters, such as biological oxygen demand (BOD), total nitrogen (TN), and total phosphorus (TP), were evaluated in six different wastewater treatment plant catchment areas of Busan Metropolitan City, South Korea. The population based on mobile phone data was affected by the patterns of non-resident population movements in each area. The population-normalized daily loads (PNDLs) of methamphetamine were compared according to the different population results. The PNDLs using the population based on mobile phone data (PNDL) was 5.87-27.0 mg/d/1000 people. The PNDL values were notably different from the PNDLs using wastewater quality parameters (PNDL) (PNDL/PNDL: 51-148 %, mean 93 %, relative standard deviation (RSD) 36 %), indicating the unsuitability of population estimation using BOD, TN, and TP. In areas with a large concentration of workplaces, the PNDLs using census data (PNDL) differed from the PNDL values (PNDL/PNDL: 57-124 %, mean 94 %, RSD 27 %), whereas other areas showed similar values for PNDL and PNDL (PNDL/PNDL: 95-108 %, mean 102 %, RSD 4.2 %). In particular, the total population estimates of the six survey areas using census data were approximately the same as those based on mobile phone data (RSD: 0.8 %), indicating a decrease in the influence of the non-residential active population in the entire metropolitan city.
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http://dx.doi.org/10.1016/j.scitotenv.2022.159154 | DOI Listing |
J Korean Med Sci
January 2025
Department of Preventive Medicine, Gachon University College of Medicine, Incheon, Korea.
Background: The coronavirus disease 2019 (COVID-19) pandemic has altered daily behavioral patterns based on government healthcare policies, including consumption and movement patterns. We aimed to examine the extent to which changes in the government's healthcare policy have affected people's lives, primarily focusing on changes in consumption and population movements.
Methods: We collected consumption data using weekly credit card transaction data from the Hana Card Corporation and population mobility data using mobile phone data from SK Telecom in Seoul, South Korea.
Sci Rep
January 2025
Department of Psychology, Jeonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju-si, Jeonbuk, 54896, Republic of Korea.
Smartphone overdependence is a maladaptive behavior characterized by excessive and uncontrollable smartphone use despite negative consequences. Impulsivity and emotional dysregulation, which are multidimensional constructs with each factor exerting a different effect, have been found to influence the development and persistence of smartphone overdependence. This study utilized network analysis to investigate the intricate relationships between the factors of impulsivity, emotional dysregulation, and smartphone overdependence.
View Article and Find Full Text PDFEur J Pediatr
January 2025
Pediatric Nephrology AB, Faculty of Medicine, Karadeniz Technical University, Trabzon, Turkey.
Purpose: Study aimed to compare incidence of urinary tract infection (UTI), type of bacteria grown, development of antibiotic resistance over 2 years in children whose caregivers underwent training based on the Roy Adaptation Model with an android phone application for patients clean intermittent catheterization (RAMACIC) versus those whose caregivers received routine training in hospital.
Method: This study was conducted as a descriptive, prospective study with 40 patients and caregivers between October 2021 and 2023 as a continuation of a previously conducted randomized controlled experimental study by the researchers. Data were collected the "Participant Form," and "Urine Test Form" analyzed with the SPSS 22 package.
J Med Internet Res
January 2025
First Hospital of China Medical University, Shenyang, China.
Background: HIV/AIDS remains a significant global challenge, and with the rapid advancement of technology, there has been an increasing number of interventions aimed at improving HIV/AIDS cognition and self-management behaviors among patients. However, there is still a lack of detailed literature integrating relevant evidence.
Objective: This study aims to comprehensively review existing research on interventions using modern information methods to improve HIV/AIDS cognition and enhance self-management behaviors among patients.
JMIR AI
January 2025
Faculty of Social Science, Ruhr University Bochum, Bochum, Germany.
Background: Conversational agents (CAs) are finding increasing application in health and social care, not least due to their growing use in the home. Recent developments in artificial intelligence, machine learning, and natural language processing have enabled a variety of new uses for CAs. One type of CA that has received increasing attention recently is smart speakers.
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