BackgroundOur aim was to assess the level and socio-demographic correlates of knowledge about rights to healthcare services among children in post-communist Albania in order to inform targeted interventions and policies to promote equitable healthcare access for all children.MethodsAn online survey conducted in Albania in September 2022 included a nationwide representative sample of 7,831 schoolchildren (≈54% girls) aged 12–15 years. A structured and anonymous questionnaire was administered inquiring about children’s knowledge on their rights to healthcare services. Binary logistic regression was used to assess the association of children’s knowledge about their rights to healthcare services with socio-demographic characteristics.ResultsOverall, about 78% of the children had knowledge about their rights to healthcare services. In multivariable adjusted logistic regression models, independent “predictors” of lack of knowledge about rights to healthcare services included male gender (OR = 1.2, 95% CI = 1.1–1.3), younger age (OR = 1.3, 95% CI = 1.1–1.4), pertinence to Roma/Egyptian community (OR = 1.6, 95% CI = 1.1–2.2), and a poor/very poor economic situation (OR = 1.3, 95% CI = 1.0–1.6).ConclusionOur findings indicate a significantly lower level of knowledge about rights to healthcare services among children from low socioeconomic families and especially those pertinent to ethnic minorities such as Roma/Egyptian communities, which can result in limited access to essential health services, increased vulnerability to health disparities, and barriers to receiving appropriate care and advocacy for their health and well-being. Seemingly, gender, ethnicity, and economic status are crucial for children’s knowledge of their healthcare rights because these factors shape their access to information, influence their experiences with healthcare systems, and can drive policy and practice to address disparities and ensure equitable access to health services. Health professionals and policymakers in Albania and elsewhere should be aware of the unmet needs for healthcare services due to lack of awareness to navigate the system particularly among disadvantaged population groups.

The data sheet contains socio demographic information, item wise analysis for internet use and factors for internet addiction. Date Submitted: 2023-09-22

This Data set contain gathered data from two government hospitals in Sri Lanka of nurses sleep quality assessed by utilizing Pittsburgh Sleep Quality Index and their socio-demographic data and values obtained as nursing errors using visual analogue scales.

ObjectivesThis cross-sectional analytical study explores the predictors of the healthcare utilization in the adult population with cardiovascular diseases.MethodologyThe research was carried out as part of the fourth Serbian National Health Survey, in the period from October to December 2019, as a descriptive, cross-sectional analytical study and included the population of cardiovascular patients (N = 4,712) aged over 20 years; Descriptive and inferential statistical methods, including percentage-based structure indicators, Chi-square (χ2) tests for categorical variable differences, and prevalence ratio for examining relationships between dependent and independent variables, were used in the data analysis.ResultsThe analysis identified several significant contributors to cardiovascular healthcare utilization, emphasizing distinct and overlapping factors that impact various types of healthcare use. The chi-square test had shown that predominantly, each form of healthcare utilization was most prevalent among the 60–69 age group (general practitioner visits: 33.9%, specialist visits: 33.1%, hospitalization: 31.4%, p 

Abstract

SDES in Kabul was launched in June 2013, jointly by the Central Statistics Organization (CSO) and the United Nations Population Fund (UNFPA) where the latter provided the technical assistance to the entire survey operations. SDES data serve as the benchmark for demographic information at the district level and to some extent, group of villages/enumeration areas. It is the only survey that addresses the need of local development planners for information at the lower level of disaggregation. There are other surveys that CSO has conducted but these are available only at the national and provincial levels.

To achieve a responsive and appropriate policymaking, statistics plays a vital role. In Afghanistan, there has been a longstanding lack of reliable information at the provincial and district levels which hinders the policy making bodies and development planners to come up with comprehensive plans on how to improve the lives of Afghans. With SDES data, though it is not complete yet for the whole country, most of the important indicators in monitoring the progress towards the achievement of Afghanistan's Millennium Development Goals (MDGs) are being collected.

The main objectives of the survey were: · Gathering data for evidence based decision making, policy, planning and management · Providing data for business and industries · Providing policy and planning for residence housing · Providing data about vulnerable populations · Providing data for the basis of humanitarian assistance · Availability of data for research and analysis

Geographic coverage

Kabul Province Kabul Districts Kabul Villages

Analysis unit

Individuals, households

Universe

The survey covered all de jure household members (usual residents)

Kind of data

Sample survey data [ssd]

Sampling procedure

The survey consisted of two related activities: a) the extensive listing and mapping of houses, establishments and institutions (conducted before the household survey) and b) the household survey.

The listing and mapping covered all houses, businesses and institutions in every village and urban area in Kabul Province and included the preparation of sketch maps on which the physical location of each building structure was marked during the canvassing. The locations of important public services, establishments and institutions such as schools, hospitals, banks, etc., were pinpointed using global positioning system (GPS) devices at a later date.

The surveyors used the mapping outputs to guide them in conducting the survey and ensure complete coverage. In total, 16 nahias, and around 843 villages in 14 districts in Kabul Province were canvassed, divided into 3,068 enumeration areas.

The survey first involved a listing of every household in each village. Half of these listed households (i.e. every other household) were taken as samples and asked questions on education, literacy, employment, migration, functional difficulty, fertility, mortality, parents’ living status, birth registration and household and housing characteristics.

Mode of data collection

Face-to-face [f2f]

Research instrument

Three questionnaires were used to collect the survey data. - Listing sheet for village/enumeration area - Household questionnaire - Summary sheets for village/enumeration area

Cleaning operations

Central Statistics Organization (CSO) and UNFPA technical staff were responsible for editing the questionnaires, spot-checking, re-interviewing and recording observations during household interviews in all 16 nahias and 14 districts. This helped to ensure errors were corrected at an early stage of enumeration.

Data encoding and cleaning were also done in Karte-char where 178 encoders were hired and four CSO supervisors were detailed to oversee the whole data processing stage.

IntroductionUniversity life presents numerous challenges that can affect students' emotional well-being and academic performance. Understanding how students cope with these challenges is essential for developing effective support strategies.MethodsThis study employed a quantitative approach with a cross-sectional descriptive-correlational design. A total of 464 university students from various academic disciplines at a higher education institution in Azogues, Ecuador, participated. Coping strategies were assessed using the Brief COPE inventory, and sociodemographic data were collected through an online form. Data analysis was conducted using SPSS software.ResultsFemale students most frequently used emotional support, instrumental support, and religion as coping strategies. In contrast, male students tended to rely more on substance use and positive reinterpretation. Statistically significant differences were also observed in the use of humor and according to academic level.DiscussionThese findings underscore the relevance of sociodemographic factors in shaping coping strategies among university students. The study provides a foundation for targeted interventions that promote adaptive coping and enhance student well-being in higher education contexts.

Understanding psychological distress among female caregivers of the patients with mental illness The present study aims to find the level of psychological distress in female caregivers of patients with mental illness in the context of Jharkhand and its relations with the socio demographic variable The sample was drawn from five blocks of Hazaribagh districts of Jharkhand and the respondents were 200 relatives of the patients with mental illness A socio demographic data sheet used for recordi

IntroductionAs part of building a platform for epidemiological research on diagnostic errors and problems that centers on patients and equity, this paper summarizes the development and analysis of data collected from fielding a survey in a nationally representative U.S. population to explore the prevalence and harm consequences of diagnostic problems or mistakes (referred to here as “diagnostic P&Ms”) by respondent-reported sociodemographic characteristics.MethodsWe applied narrative elicitation methods to enhance the rigor of implementing a novel survey about diagnostic experiences. We conducted a U.S. population-based survey of a nationally representative sample in 2022–2023, drawn from the NORC AmeriSpeak® panel. We conducted multivariate regression analysis at the household level and in a patient subsample to explore sociodemographic predictors of diagnostic P&Ms and related outcomes in the aftermath.ResultsThe comparative analysis by sociodemographic characteristics estimates prevalence of diagnostic P&Ms, prevalence of persisting harms, rate of respondent-reported perceptions of personal attribute adversely affecting diagnosis, and concern about future diagnostic P&Ms. Outcome estimates ranged from about 4% (concern about future diagnostic P&M) to 38% (at least one P&M in households during the past 4 years). Several sociodemographic groups experienced statistically significant higher levels of risk for these outcomes, with some at greater than twice the odds compared to reference groups—transgender and gender independent individuals (e.g., 5 + −fold odds of expectation of future P&M compared to cis-males), cis-females (e.g., greater than 1.5 odds of persistent physical and emotional harms compared to cis-males), low household income (e.g., twice the likelihood of multiple P&Ms for incomes under $60 K compared to $100 K+ households), younger age (3-fold odds of at least one diagnostic P&M for those under 25 years old compared to those aged 45–54), multiracial individuals (about twice the odds of diagnostic P&Ms compared to non-Hispanic White), and disabled and unable to work full-time (more than twice the likelihood of perceiving that a personal attribute impaired diagnosis compared to those with other work status designations).DiscussionThis new survey and accompanying data source facilitate an enriched exploration of the patterns of diagnostic disparities and points of leverage through which diagnostic experiences can be made more equitable.

First sheet: dataset

Second sheet: variables' description

BackgroundPulmonary arterial hypertension (PAH) is a severe and progressive lung disease that significantly impairs patients’ health and imposes heavy clinical and economic burdens. Currently, there is a lack of comprehensive epidemiological analysis on the global burden and trends of PAH.MethodsWe estimated the prevalence, mortality, disability-adjusted life years (DALYs) of PAH from 1990 to 2021 using the results of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD). The average annual percentage changes were used to estimate the trends of PAH across 21 regions and 204 countries and territories.ResultsFrom 1990 to 2021, the number of prevalent cases and deaths associated with PAH worldwide increased by 81.5 and 48.4%. However, the age-standardized prevalence rate of PAH remained relatively stable, while the age-standardized mortality rate and DALYs declined. In 2021, the global age-standardized prevalence rate of PAH was 2.28 per 100,000, with 1.78 per 100,000 in males and 2.75 per 100,000 in females. The age-standardized mortality rate of PAH globally was 0.27 per 100,000, and the age-standardized DALYs was 8.24 per 100,000. Among the 21 regions, Western Europe had the highest age-standardized prevalence rate (3.56 per 100,000), while North Africa and the Middle East had the highest age-standardized mortality rate (0.44 per 100,000) and DALYs (14.81 per 100,000). Additionally, older individuals and females are at higher risk of PAH. The age-standardized mortality rate and DALYs associated with PAH increase with age, peaking in the 95+ age group. As the sociodemographic index increased, the age-standardized prevalence rates showed an upward trend, while both the age-standardized mortality rates and DALYs exhibited a downward trend.ConclusionFrom 1990 to 2021, the overall trend of PAH burden presents regional and national variations and differs by age, sex, and sociodemographic index. These findings emphasize the importance of implementing targeted interventions to alleviate the burden of PAH.

There were 3 phases involved: 1. 1st phase: A qualitative study that explored the challenges faced by health care providers in delivering asthma care and implementing asthma self-management. was conducted. 2. 2nd phase: A pre-post feasibility study of paper-based pictorial asthma action plan (PAAP) to support asthma self-management among patients with low health literacy. 3. 3rd phase: A pre-post feasibility study of using mobile app to support asthma self-management among patients with low health literacy. The barriers and motivation to using the app was evaluated using a qualitative approach. Documents shared are participants information sheet, questionnaires, participants sociodemographic data and the codebook for coding for qualitative.

ObjectiveTo analyze temporal trends of diet-attributable cancer mortality in China (1990–2021), compare patterns between China and regions with varying development levels, and explore gender-specific characteristics to inform targeted prevention strategies.Study designCross-sectional and time-series analyses.MethodsWe conducted cross-sectional and time-series analyses of nine dietary risk factors across China, the global region, and five Socio-demographic Index (SDI) - stratified regions. Joinpoint regression models quantified temporal trends through Annual Percent Change (APC) and Average Annual Percent Change (AAPC).ResultsDiet-attributable cancer deaths in China decreased from 9.9% (95% CI: 2.2–20.5%) to 6.3% (95% CI: 2.1–12.8%) during 1990–2021. China’s 2021 attribution (6.3%) was below the global average (6.8%), exceeding high-SDI regions (5.8%) but below middle-SDI regions (7.4%). Low vegetable intake showed the largest decline (3.0 to 0.3%), while high red meat consumption increased (1.6 to 2.0%). Red meat’s impact was greater in females, while inadequate plant consumption affected males more significantly. Dietary factors most influenced colorectal cancer in China (39.2%). China’s diet-attributable cancer mortality decreased by 53.0% (from 18.4 to 8.7 per 100,000), exceeding global reductions (35.5%).ConclusionThis study identified distinct regional patterns in diet-attributable cancer mortality. China’s profile reflects its transition between development levels—decreasing vegetable-deficiency risks while increasing red meat consumption. Globally, attribution patterns are shifting from plant food inadequacy toward animal product excess, with persistent gender disparities.

This artifact accompanies the SEET@ICSE article "Assessing the impact of hints in learning formal specification", which reports on a user study to investigate the impact of different types of automated hints while learning a formal specification language, both in terms of immediate performance and learning retention, but also in the emotional response of the students. This research artifact provides all the material required to replicate this study (except for the proprietary questionnaires passed to assess the emotional response and user experience), as well as the collected data and data analysis scripts used for the discussion in the paper.

Dataset

The artifact contains the resources described below.

Experiment resources

The resources needed for replicating the experiment, namely in directory experiment:

alloy_sheet_pt.pdf: the 1-page Alloy sheet that participants had access to during the 2 sessions of the experiment. The sheet was passed in Portuguese due to the population of the experiment.

alloy_sheet_en.pdf: a version the 1-page Alloy sheet that participants had access to during the 2 sessions of the experiment translated into English.

docker-compose.yml: a Docker Compose configuration file to launch Alloy4Fun populated with the tasks in directory data/experiment for the 2 sessions of the experiment.

api and meteor: directories with source files for building and launching the Alloy4Fun platform for the study.

Experiment data

The task database used in our application of the experiment, namely in directory data/experiment:

Model.json, Instance.json, and Link.json: JSON files with to populate Alloy4Fun with the tasks for the 2 sessions of the experiment.

identifiers.txt: the list of all (104) available participant identifiers that can participate in the experiment.

Collected data

Data collected in the application of the experiment as a simple one-factor randomised experiment in 2 sessions involving 85 undergraduate students majoring in CSE. The experiment was validated by the Ethics Committee for Research in Social and Human Sciences of the Ethics Council of the University of Minho, where the experiment took place. Data is shared the shape of JSON and CSV files with a header row, namely in directory data/results:

data_sessions.json: data collected from task-solving in the 2 sessions of the experiment, used to calculate variables productivity (PROD1 and PROD2, between 0 and 12 solved tasks) and efficiency (EFF1 and EFF2, between 0 and 1).

data_socio.csv: data collected from socio-demographic questionnaire in the 1st session of the experiment, namely:

participant identification: participant's unique identifier (ID);

socio-demographic information: participant's age (AGE), sex (SEX, 1 through 4 for female, male, prefer not to disclosure, and other, respectively), and average academic grade (GRADE, from 0 to 20, NA denotes preference to not disclosure).

data_emo.csv: detailed data collected from the emotional questionnaire in the 2 sessions of the experiment, namely:

participant identification: participant's unique identifier (ID) and the assigned treatment (column HINT, either N, L, E or D);

detailed emotional response data: the differential in the 5-point Likert scale for each of the 14 measured emotions in the 2 sessions, ranging from -5 to -1 if decreased, 0 if maintained, from 1 to 5 if increased, or NA denoting failure to submit the questionnaire. Half of the emotions are positive (Admiration1 and Admiration2, Desire1 and Desire2, Hope1 and Hope2, Fascination1 and Fascination2, Joy1 and Joy2, Satisfaction1 and Satisfaction2, and Pride1 and Pride2), and half are negative (Anger1 and Anger2, Boredom1 and Boredom2, Contempt1 and Contempt2, Disgust1 and Disgust2, Fear1 and Fear2, Sadness1 and Sadness2, and Shame1 and Shame2). This detailed data was used to compute the aggregate data in data_emo_aggregate.csv and in the detailed discussion in Section 6 of the paper.

data_umux.csv: data collected from the user experience questionnaires in the 2 sessions of the experiment, namely:

participant identification: participant's unique identifier (ID);

user experience data: summarised user experience data from the UMUX surveys (UMUX1 and UMUX2, as a usability metric ranging from 0 to 100).

participants.txt: the list of participant identifiers that have registered for the experiment.

Analysis scripts

The analysis scripts required to replicate the analysis of the results of the experiment as reported in the paper, namely in directory analysis:

analysis.r: An R script to analyse the data in the provided CSV files; each performed analysis is documented within the file itself.

requirements.r: An R script to install the required libraries for the analysis script.

normalize_task.r: A Python script to normalize the task JSON data from file data_sessions.json into the CSV format required by the analysis script.

normalize_emo.r: A Python script to compute the aggregate emotional response in the CSV format required by the analysis script from the detailed emotional response data in the CSV format of data_emo.csv.

Dockerfile: Docker script to automate the analysis script from the collected data.

Setup

To replicate the experiment and the analysis of the results, only Docker is required.

If you wish to manually replicate the experiment and collect your own data, you'll need to install:

A modified version of the Alloy4Fun platform, which is built in the Meteor web framework. This version of Alloy4Fun is publicly available in branch study of its repository at https://github.com/haslab/Alloy4Fun/tree/study.

If you wish to manually replicate the analysis of the data collected in our experiment, you'll need to install:

Python to manipulate the JSON data collected in the experiment. Python is freely available for download at https://www.python.org/downloads/, with distributions for most platforms.

R software for the analysis scripts. R is freely available for download at https://cran.r-project.org/mirrors.html, with binary distributions available for Windows, Linux and Mac.

Usage

Experiment replication

This section describes how to replicate our user study experiment, and collect data about how different hints impact the performance of participants.

To launch the Alloy4Fun platform populated with tasks for each session, just run the following commands from the root directory of the artifact. The Meteor server may take a few minutes to launch, wait for the "Started your app" message to show.

cd experimentdocker-compose up

This will launch Alloy4Fun at http://localhost:3000. The tasks are accessed through permalinks assigned to each participant. The experiment allows for up to 104 participants, and the list of available identifiers is given in file identifiers.txt. The group of each participant is determined by the last character of the identifier, either N, L, E or D. The task database can be consulted in directory data/experiment, in Alloy4Fun JSON files.

In the 1st session, each participant was given one permalink that gives access to 12 sequential tasks. The permalink is simply the participant's identifier, so participant 0CAN would just access http://localhost:3000/0CAN. The next task is available after a correct submission to the current task or when a time-out occurs (5mins). Each participant was assigned to a different treatment group, so depending on the permalink different kinds of hints are provided. Below are 4 permalinks, each for each hint group:

Group N (no hints): http://localhost:3000/0CAN

Group L (error locations): http://localhost:3000/CA0L

Group E (counter-example): http://localhost:3000/350E

Group D (error description): http://localhost:3000/27AD

In the 2nd session, likewise the 1st session, each permalink gave access to 12 sequential tasks, and the next task is available after a correct submission or a time-out (5mins). The permalink is constructed by prepending the participant's identifier with P-. So participant 0CAN would just access http://localhost:3000/P-0CAN. In the 2nd sessions all participants were expected to solve the tasks without any hints provided, so the permalinks from different groups are undifferentiated.

Before the 1st session the participants should answer the socio-demographic questionnaire, that should ask the following information: unique identifier, age, sex, familiarity with the Alloy language, and average academic grade.

Before and after both sessions the participants should answer the standard PrEmo 2 questionnaire. PrEmo 2 is published under an Attribution-NonCommercial-NoDerivatives 4.0 International Creative Commons licence (CC BY-NC-ND 4.0). This means that you are free to use the tool for non-commercial purposes as long as you give appropriate credit, provide a link to the license, and do not modify the original material. The original material, namely the depictions of the diferent emotions, can be downloaded from https://diopd.org/premo/. The questionnaire should ask for the unique user identifier, and for the attachment with each of the depicted 14 emotions, expressed in a 5-point Likert scale.

After both sessions the participants should also answer the standard UMUX questionnaire. This questionnaire can be used freely, and should ask for the user unique identifier and answers for the standard 4 questions in a 7-point Likert scale. For information about the questions, how to implement the questionnaire, and how to compute the usability metric ranging from 0 to 100 score from the answers, please see the original paper:

Kraig Finstad. 2010. The usability metric for user experience. Interacting with computers 22, 5 (2010), 323–327.

Analysis of other applications of the experiment

This section describes how to replicate the analysis of the data collected in an application of the experiment described in Experiment replication.

The analysis script expects data in 4 CSV files,

Breastfeeding (BF) rates remain suboptimal in the United Arab Emirates (UAE), despite global and national efforts. This study examined the association of socio-demographic factors, perinatal characteristics, and hospital maternity practices with breastfeeding outcomes in the UAE. In this cross-sectional study, 1,815 participating mothers with children below the age of 2 answered structured questions related to socioeconomics, hospital practices, and BF. Multivariate analysis showed that a non-Emirati nationality and vaginal birth were significantly associated with higher initiation rates (AOR = 6.19, 95% CI 1.96–19.54 and AOR = 2.65, 95% CI 1.35–5.21, respectively), timely initiation (AOR = 0.48, 95%CI 0.35–0.66, respectively), longer BF duration (AOR = 1.55, 95%CI 1.05–2.27 and AOR = 1.45, 95%CI 1.08–1.93, respectively) and longer exclusive BF duration (AOR = 1.50, 95%CI 1.06–2.11 and AOR = 1.35, 95%CI 1.03–1.78, respectively). Additionally, parity, hospital practices, maternal education, and employment were significantly associated with certain BF practices. The findings support continued efforts to implement WHO's baby-friendly initiative in more hospitals in Abu Dhabi and also emphasize the importance of early and continuous antenatal education. Emirati mothers should be prioritized in these efforts as their BF practices need more attention. As maternal employment negatively influences breastfeeding duration, supportive measures such as extended maternity leave, designated expressing facilities in the workplace, and shorter working hours are crucial to promote continued breastfeeding among employed mothers.

This was a cluster-randomized, controlled, single-blinded study on a cohort of children and young people with CP in the Iganga-Mayuge Health and Demographic Surveillance Site. The CP cohort was divided in two arms: one receiving the Akwenda Intervention program, and the other serving as control waiting to receive the intervention the following year. Children with seizures in both groups were provided anti-seizure medications. Outcomes were assessed prior to and after the intervention period.

The Excel sheet includes the data collected before the intervention started (2021; baseline), and after the 11 months intervention ended (2022; follow-up).

Randomized, controlled, intervention trial.

Baseline data: Sociodemographic information and clinical data including anthropometry, Gross Motor Function Classification System (GMFCS) levels.

Primary outcome: Picture My Participation (PMP); frequency of attendance and level of involvement in 20 activities of daily living.

The dataset contains of the following files: - Data sharing PMP Akwenda.xlsx (48.7 kB) - Documentation file data sharing PMP.docx Details about the variables in the tables can be found in the documentation file.

The creation of a geographic information system (GIS) linked to socio-demographic databases is the most obvious extension of the "mpf" project to centralize, analyze and combine the many and rich cartographic archives linked to Charleville. A first conclusive attempt to digitize this cadastre was carried out in 2015. It was carried out for the Saint-Sépulcre district based on a matrix and a cadastral map from 1834. Based on this positive experience feedback, it was decided to begin the full digitization and georeferencing of this cadastral plan in order to have a quality spatial repository that can be associated with socio-demographic data. The use of the metric system and non-projected local coordinates suggested that absolute and relative Euclidean accuracies would be optimal. First, a geometric registration (planimetric coordinates) of the high definition digitized plane (raster format, 600 dots per inch) was started. This operation was built on the identification of common points between the contemporary urban fabric and the geometries present in the archive (street angles, intersection of buildings, etc.). The results obtained, from the geometrical method used called “Helmert transformation”, appeared satisfactory with a root mean square error (MSE) of 0.8 m from 116 common calibration points. Once this georeferencing was carried out, the exhaustive digitization of the 1834 cadastre and its carto-interpretation made it possible to obtain a set of data composed of two sets of geographic information in open format (geojson) combining socio-demographic data and geometries. Data set composed of three main files: 1. "cadastre-1834-sheet-c1.geojson", geojson format. Cadastre digitized exhaustively from sheet C1 kept in the departmental archives of the Ardennes (© departmental archives of the Ardennes).

link to the departmental archives. )

National Lambert 93 projection system (EPSG 2154), absolute submeter precision and relative centimeter precision. 2086 plots - geometries (closed polygons) associated with 7 attribute tables: - "pk" (primary key) or unique identifier, - "plot number" or plot number from the examination of the 1834 plan, - "use" according to two values ​​"public" or "private", - "district" according to the 7 values ​​"saint sepulcre", "saint-françois", "notre-dame", "saint-ignace", "hors-les-murs", "the alleys", and "small wood" - "street" according to 90 values ​​from the 1834 road network, - "type" according to three values ​​"built", "open space", "agricultural space". as of 4/01/2021 Creative Commons License "cadastre-1834-feuille-c1.geojson" by Sylvain Rassat, Center Roland Mousnier, Departmental Archives is made available under the terms of the Creative Commons Attribution-ShareAlike 4.0 International license. Based on a Source Link work. Permissions beyond the scope of this license can be obtained at https://www.researchgate.net/profile/Sylvain_Rassat.

viewable within the urban 3D model of Charleville

1. "ilots1834.geojson", National Lambert 93 projection system (EPSG 2154), submeter absolute precision and centimeter relative precision. 36 islands (closed polygons) associated with 2 attribute tables: - "id" (identifier) ​​or unique identifier, - "district" according to the 4 values ​​"saint sepulcre", "saint-françois", "notre-dame", "saint -ignace ". as of 4/01/2021 Creative Commons License "ilots1834.geojson" by Sylvain Rassat, Roland Mousnier Center, Departmental Archives is made available under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license. Based on a Source Link work. Permissions beyond the scope of this license can be obtained at https://www.researchgate.net/profile/Sylvain_Rassat. viewable within the urban 3D model of Charleville
2. Raster slab (image) georeferenced from the 1796 "Charleville-C1" cadastral plan (tif format) kept in the departmental archives of the Ardennes (Charleville-Mézières, © Departmental archives of the Ardennes). E.M.Q 0.8 m, national Lambert 93 projection system (EPSG 2154). status as of 01/01/2018. Based on a Source Link work. Permissions beyond the scope of this license can be obtained at https://www.researchgate.net/profile/Sylvain_Rassat. viewable within the urban 3D model of Charleville

BackgroundThe strategy for eliminating viral hepatitis is at a critical juncture, necessitating an updated assessment of global incidence trends.MethodsData on the incidence of four types of acute viral hepatitis (AVH), namely, acute hepatitis A (AHA), acute hepatitis B (AHB), acute hepatitis C (AHC), and acute hepatitis E (AHE), were sourced from the Global Burden of Disease (GBD) Study 2021. The annual percentage change is utilized to elucidate temporal trends, whereas health inequalities and frontier analysis serve to evaluate global health equity and quantify disparities in burden among countries.ResultsIn 2021, the estimated global incidence for AVH was as follows: AHA (160.86 million), AHB (63.53 million), AHE (19.37 million), and AHC (7.01 million). From 2000 to 2021, the age-standardized incidence rates (ASIR) for four types of AVH demonstrated a declining trend, with AHB showing the most significant decrease. It is anticipated that the incidence rates for AHA, AHB, and AHC will continue to decline over the next 15 years; however, the incidence rate of AHE is projected to increase. In 2021, the incidence of AVH displayed a significant negative correlation with the Socio-Demographic Index (SDI), but health disparities between countries have diminished. Countries with the highest potential for elimination of AHB are primarily situated in low and low-middle SDI regions, whereas those for AHA are concentrated in high and high-middle SDI regions. Furthermore, countries with the largest disparities in AHC and AHE were dispersed.ConclusionAlthough global incidence of AVH is decreasing, it remains a serious public health challenge. Reducing health disparities is crucial for the elimination of viral hepatitis.

AimsTo evaluate the spatial-temporal changes in the incidence of type 2 diabetes related chronic kidney disease (CKD-T2DM) from 1990 to 2019, categorized by age and sex in 21 regions with different socio-demographic indexes (SDI), and to predict the incidence rate between 2020 and 2030.MethodsData on the burden of CKD-T2DM were obtained from the Global Burden of Disease Study 2019. Age-standardized incidence rates (ASIR) were estimated by sex, age, region, SDI, and specifically in China. The trends of ASIR were assessed using Joinpoint model to calculate the average annual percentage changes (AAPCs) and their 95% confidence intervals. Prediction was conducted using the Bayesian age-period-cohort (BAPC) model.ResultIn 2019, the ASIR of global CKD-T2DM increased with age in both sexes, and was highest in the older 75 age group. The ASIR of CKD-T2DM in males was higher than those in females. Overall, the global ASIR of CKD-T2DM increased from 1990 to 2019 in both sexes and all age groups. The most significant increase was observed in the 15–49 age group [males: AAPC=1.42, 95%CI:(1.35-1.49); females: AAPC=1.18,95%CI:(1.13-1.23)]. Besides, the upward trends in ASIR of CKD-T2DM were observed in most SDI regions and GBD regions. The changing trends in ASIR of CKD-T2DM in China were similar to the global trends. Finally, the predicted ASIR was also found to be increased globally and also in China in both sex from 2020 to 2030.ConclusionThe global CKD-T2DM incidence rates increased from 1990 to 2019 in both sexes, most regions and in China., and also increased globally between 2020 and 2030. Therefore, it is important to input more medical resources and establish prevention strategies for the increasing trends of CKD-T2DM.

BackgroundDiabetes and depressive symptoms exhibit a high comorbidity in the older adult population, and their combined effects significantly reduce patients’ quality of life. This study aims to investigate the prevalence of depressive symptoms among older adults with diabetes in China and identify key associated factors, providing evidence-based insights for the development of targeted intervention strategies.MethodsThis study utilizes data from the 2015, 2018, and 2020 waves of the China Health and Retirement Longitudinal Study (CHARLS), including older adults aged 60 years and above who have been diagnosed with diabetes (n = 3,609). Depressive symptoms were assessed using the simplified version of the CES-D scale, a validated tool for measuring depressive symptoms, with a score of ≥10 indicating depressive symptoms. Univariate chi-square tests and logistic regression analysis were used to examine the factors associated with depressive symptoms, with statistical significance set at p 

IntroductionSecondhand smoke (SHS) exposure represents an underappreciated global health risk for type 2 diabetes mellitus (T2DM), with complex epidemiological implications.MethodsLeveraging the comprehensive Global Burden of Disease (GBD) 2021 dataset, we systematically evaluated the worldwide burden of type 2 diabetes mellitus attributable to secondhand smoke (T2DM-SHS) across 204 countries. The analysis encompassed both death and disability-adjusted life years (DALYs) across various genders, age groups, and 204 nations over the period from 1990 to 2021. We examined trends and socioeconomic impacts by analyzing age-standardized DALYs rates and estimated annual percentage changes, stratified by socio-demographic Index (SDI) quintiles.ResultsThe following changes occurred between 1990 and 2021: while age-standardized mortality rates decreased by 8.903% (95% UI: -16.824% to -1.399%), DALYs increased by 17.049% (95% UI: 9.065% to 25.557%). Age-stratified analysis revealed peak death in the 70–74 years group, with females experiencing highest DALYs in the 75–79 years group and males in the 90–94 years group. An inverted U-shaped relationship between SDI and disease burden emerged, with peak rates at moderate SDI levels.DiscussionDespite lowest burdens in high-income countries, disease dynamics were most complex in middle-range SDI countries, indicating that economic development does not linearly correlate with health outcomes. This comprehensive analysis unveils the multifaceted global landscape of T2DM-SHS, exposing critical disparities across gender, age, and socioeconomic contexts. The findings urgently call for targeted, context-specific public health interventions, particularly in low- and middle-income countries, to mitigate the escalating T2DM-SHS burden.