Pub Date : 2024-08-21eCollection Date: 2024-01-01DOI: 10.3389/ijph.2024.1606642
Dyon Hoekstra, Margot Mütsch, Annegret Borchard, Christina Kien, Ursula Griebler, Erik Von Elm, Eva Rehfuess, Ansgar Gerhardus, Stefan K Lhachimi
Objectives: This study aimed to develop and apply a structured approach for prioritising topics for systematic reviews in public health, framed according to the readily applicable PICO format, which encourages the involvement of stakeholders' preferences in a transparent matter.
Methods: We developed a multi-stage process, consisting of a scoping and two Delphi stages with web-based surveys and invited public health stakeholders in Switzerland to participate: First, respondents specified topics for different public health domains, which were reformulated in a PICO format by content analysis. Second, respondents rated the topics using five stakeholder-refined assessment criteria. Overall rankings were calculated to assess differences between stakeholder groups and rating criteria.
Results: In total, 215 respondents suggested 728 topics altogether. The response rate in the two Delphi stages was 91.6% and 77.6%, respectively. Most top-rated review topics focused on the effectiveness of interventions providing education to different target groups, followed by interventions to increase access to specific healthcare services.
Conclusion: Our approach encourages involvement of stakeholders in identifying priorities for systematic reviews and highlights disparities between stakeholders and between individual criteria.
{"title":"A Structured Approach to Involve Stakeholders in Prioritising Topics for Systematic Reviews in Public Health.","authors":"Dyon Hoekstra, Margot Mütsch, Annegret Borchard, Christina Kien, Ursula Griebler, Erik Von Elm, Eva Rehfuess, Ansgar Gerhardus, Stefan K Lhachimi","doi":"10.3389/ijph.2024.1606642","DOIUrl":"10.3389/ijph.2024.1606642","url":null,"abstract":"<p><strong>Objectives: </strong>This study aimed to develop and apply a structured approach for prioritising topics for systematic reviews in public health, framed according to the readily applicable PICO format, which encourages the involvement of stakeholders' preferences in a transparent matter.</p><p><strong>Methods: </strong>We developed a multi-stage process, consisting of a scoping and two Delphi stages with web-based surveys and invited public health stakeholders in Switzerland to participate: First, respondents specified topics for different public health domains, which were reformulated in a PICO format by content analysis. Second, respondents rated the topics using five stakeholder-refined assessment criteria. Overall rankings were calculated to assess differences between stakeholder groups and rating criteria.</p><p><strong>Results: </strong>In total, 215 respondents suggested 728 topics altogether. The response rate in the two Delphi stages was 91.6% and 77.6%, respectively. Most top-rated review topics focused on the effectiveness of interventions providing education to different target groups, followed by interventions to increase access to specific healthcare services.</p><p><strong>Conclusion: </strong>Our approach encourages involvement of stakeholders in identifying priorities for systematic reviews and highlights disparities between stakeholders and between individual criteria.</p>","PeriodicalId":14322,"journal":{"name":"International Journal of Public Health","volume":"69 ","pages":"1606642"},"PeriodicalIF":2.6,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11371559/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142132697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-20eCollection Date: 2024-01-01DOI: 10.3389/ijph.2024.1607060
Katherine Lu, Kathy Kornas, Laura C Rosella
Objectives: This study modelled diabetes risk for population groups in Canada defined by socioeconomic and lifestyle characteristics and investigated inequities in diabetes risk using a validated population risk prediction algorithm.
Methods: We defined population groups, informed by determinants of health frameworks. We applied the Diabetes Population Risk Tool (DPoRT) to 2017/2018 Canadian Community Health Survey data to predict 10-year diabetes risk and cases across population groups. We modelled a preventive intervention scenario to estimate reductions in diabetes for population groups and impacts on the inequity in diabetes risk across income and education.
Results: The population group with at least one lifestyle and at least one socioeconomic/structural risk factor had the highest estimated 10-year diabetes risk and number of new cases. When an intervention with a 5% relative risk reduction was modelled for this population group, diabetes risk decreased by 0.5% (females) and 0.7% (males) and the inequity in diabetes risk across income and education levels was reduced.
Conclusion: Preventative interventions that address socioeconomic and structural risk factors have potential to reduce inequities in diabetes risk and overall diabetes burden.
{"title":"Predictive Modelling of Diabetes Risk in Population Groups Defined by Socioeconomic and Lifestyle Factors in Canada: A Cross-Sectional Study.","authors":"Katherine Lu, Kathy Kornas, Laura C Rosella","doi":"10.3389/ijph.2024.1607060","DOIUrl":"10.3389/ijph.2024.1607060","url":null,"abstract":"<p><strong>Objectives: </strong>This study modelled diabetes risk for population groups in Canada defined by socioeconomic and lifestyle characteristics and investigated inequities in diabetes risk using a validated population risk prediction algorithm.</p><p><strong>Methods: </strong>We defined population groups, informed by determinants of health frameworks. We applied the Diabetes Population Risk Tool (DPoRT) to 2017/2018 Canadian Community Health Survey data to predict 10-year diabetes risk and cases across population groups. We modelled a preventive intervention scenario to estimate reductions in diabetes for population groups and impacts on the inequity in diabetes risk across income and education.</p><p><strong>Results: </strong>The population group with at least one lifestyle and at least one socioeconomic/structural risk factor had the highest estimated 10-year diabetes risk and number of new cases. When an intervention with a 5% relative risk reduction was modelled for this population group, diabetes risk decreased by 0.5% (females) and 0.7% (males) and the inequity in diabetes risk across income and education levels was reduced.</p><p><strong>Conclusion: </strong>Preventative interventions that address socioeconomic and structural risk factors have potential to reduce inequities in diabetes risk and overall diabetes burden.</p>","PeriodicalId":14322,"journal":{"name":"International Journal of Public Health","volume":"69 ","pages":"1607060"},"PeriodicalIF":2.6,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11368776/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142125613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-16eCollection Date: 2024-01-01DOI: 10.3389/ijph.2024.1607317
Sumanth Ratna, William B Weeks, Juan Lavista Ferres, Aneesh Chopra, Mayana Pereira
{"title":"A Methodology for Using Large Language Models to Create User-Friendly Applications for Medicaid Redetermination and Other Social Services.","authors":"Sumanth Ratna, William B Weeks, Juan Lavista Ferres, Aneesh Chopra, Mayana Pereira","doi":"10.3389/ijph.2024.1607317","DOIUrl":"10.3389/ijph.2024.1607317","url":null,"abstract":"","PeriodicalId":14322,"journal":{"name":"International Journal of Public Health","volume":"69 ","pages":"1607317"},"PeriodicalIF":2.6,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11361957/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142107392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-15eCollection Date: 2024-01-01DOI: 10.3389/ijph.2024.1606401
Lin Wu, Ruyi Chen, Aiping Sheng, Hongqiang Lou, Xiaowen Wang
Objectives: Evidence on the relationship between self-rated health status and incident type 2 diabetes (T2DM) in China is scarce. This study aims to examine the prospective association of self-rated health status with the subsequent risk of T2DM among middle-aged and older Chinese subjects.
Methods: Data were obtained from the China Health and Retirement Longitudinal Study of 9844 Chinese individuals aged 45 years or older. Cox proportional hazards models were used to yield hazard ratios (HRs) relating self-rated health status to the 7-year incidence of T2DM, adjusting for conventional risk factors.
Results: Compared to those with very good or good self-rated health, individuals with poor health had a significantly higher risk of developing T2DM in the multivariable-adjusted model [HR = 1.36 (1.07, 1.73)]. Subgroup analysis by sex showed stronger associations in women [HR = 1.53 (1.11, 2.12)]. Interaction analyses indicated that factors such as age, sex, obesity, smoking status, drinking status, history of hypertension and history of dyslipidemia did not modify the association (all P-interaction >0.05).
Conclusion: Poor self-rated health status is associated with a higher risk of developing T2DM in middle-aged and older Chinese people.
{"title":"Self-Rated Health Status and the Risk of Incident Type 2 Diabetes: A Prospective Cohort Study of Middle-Aged and Older Chinese.","authors":"Lin Wu, Ruyi Chen, Aiping Sheng, Hongqiang Lou, Xiaowen Wang","doi":"10.3389/ijph.2024.1606401","DOIUrl":"10.3389/ijph.2024.1606401","url":null,"abstract":"<p><strong>Objectives: </strong>Evidence on the relationship between self-rated health status and incident type 2 diabetes (T2DM) in China is scarce. This study aims to examine the prospective association of self-rated health status with the subsequent risk of T2DM among middle-aged and older Chinese subjects.</p><p><strong>Methods: </strong>Data were obtained from the China Health and Retirement Longitudinal Study of 9844 Chinese individuals aged 45 years or older. Cox proportional hazards models were used to yield hazard ratios (HRs) relating self-rated health status to the 7-year incidence of T2DM, adjusting for conventional risk factors.</p><p><strong>Results: </strong>Compared to those with very good or good self-rated health, individuals with poor health had a significantly higher risk of developing T2DM in the multivariable-adjusted model [HR = 1.36 (1.07, 1.73)]. Subgroup analysis by sex showed stronger associations in women [HR = 1.53 (1.11, 2.12)]. Interaction analyses indicated that factors such as age, sex, obesity, smoking status, drinking status, history of hypertension and history of dyslipidemia did not modify the association (all <i>P</i>-interaction >0.05).</p><p><strong>Conclusion: </strong>Poor self-rated health status is associated with a higher risk of developing T2DM in middle-aged and older Chinese people.</p>","PeriodicalId":14322,"journal":{"name":"International Journal of Public Health","volume":"69 ","pages":"1606401"},"PeriodicalIF":2.6,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11357931/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142107394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objectives: To identify official sources that routinely collect data on functioning in Switzerland, to provide an overview of the existing data and its comparability, and to assess the extent to which the data is suitable for developing a functioning metric and indicator.
Methods: Data sources were identified through an iterative search. Standardized rules were applied to map the functioning information assessed by the sources using a current WHO functioning and disability survey as a reference framework for the content comparison.
Results: Four sources were identified: the Swiss Survey of Health, Ageing and Retirement in Europe (SHARE), the Swiss Health Survey (SHS), the Lausanne cohort 65+ (Lc65+), and the Swiss Household Panel (SHP). All tools addressed sleep functions, energy level, emotional functions, and sensation of pain. Additionally, nine functioning categories were common across three sources.
Conclusion: Population data sources in Switzerland routinely collect comparable functioning data, which can serve as the basis for creating a functioning indicator. Among others, this indicator is relevant to complement mortality and morbidity data and to support both the estimation of rehabilitation and long-term care needs.
{"title":"Overview of Available Functioning Data in Switzerland: Supporting the Use of Functioning as a Health Indicator Alongside Mortality and Morbidity.","authors":"Beatriz Moreira, Jsabel Hodel, Melissa Selb, Jiin Kim, Carolina Fellinghauer, Jerome Bickenbach, Carla Sabariego","doi":"10.3389/ijph.2024.1607366","DOIUrl":"https://doi.org/10.3389/ijph.2024.1607366","url":null,"abstract":"<p><strong>Objectives: </strong>To identify official sources that routinely collect data on functioning in Switzerland, to provide an overview of the existing data and its comparability, and to assess the extent to which the data is suitable for developing a functioning metric and indicator.</p><p><strong>Methods: </strong>Data sources were identified through an iterative search. Standardized rules were applied to map the functioning information assessed by the sources using a current WHO functioning and disability survey as a reference framework for the content comparison.</p><p><strong>Results: </strong>Four sources were identified: the Swiss Survey of Health, Ageing and Retirement in Europe (SHARE), the Swiss Health Survey (SHS), the Lausanne cohort 65+ (Lc65+), and the Swiss Household Panel (SHP). All tools addressed sleep functions, energy level, emotional functions, and sensation of pain. Additionally, nine functioning categories were common across three sources.</p><p><strong>Conclusion: </strong>Population data sources in Switzerland routinely collect comparable functioning data, which can serve as the basis for creating a functioning indicator. Among others, this indicator is relevant to complement mortality and morbidity data and to support both the estimation of rehabilitation and long-term care needs.</p>","PeriodicalId":14322,"journal":{"name":"International Journal of Public Health","volume":"69 ","pages":"1607366"},"PeriodicalIF":2.6,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11349544/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142107393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-07eCollection Date: 2024-01-01DOI: 10.3389/ijph.2024.1607315
Lijun Wang, Jianqiang Du, Haifeng Sun
Objective: To elucidate the historical trends, underlying causes and future projections of esophageal cancer incidence in Hong Kong.
Methods: Utilizing the Age-Period-Cohort (APC) model, we analyzed data from the Hong Kong Cancer Registry (1992-2021) and United Nations World Population Prospects 2022 Revision. Age-standardized incidence rates were computed, and APC models evaluated age, period, and cohort effects. Bayesian APC modeling, coupled with decomposition analysis, projected future trends and identified factors influencing incidence.
Results: Between 1992 and 2021, both crude and age-standardized incidence rates of esophageal cancer witnessed significant declines. Net drifts exhibited pronounced downward trends for both sexes, with local drift diminishing across all age groups. Period and cohort rate ratios displayed a consistent monotonic decline for both sexes. Projections indicate a continued decline in esophageal cancer incidence. Population decomposition analysis revealed that epidemiological changes offset the increase in esophageal cancer cases due to population growth and aging.
Conclusion: The declining trend of esophageal cancer in Hong Kong is influenced by a combination of age, period, and cohort. Sustaining and enhancing these positive trends requires continuous efforts in public health interventions.
{"title":"Evolution of Esophageal Cancer Incidence Patterns in Hong Kong, 1992-2021: An Age-Period-Cohort and Decomposition Analysis.","authors":"Lijun Wang, Jianqiang Du, Haifeng Sun","doi":"10.3389/ijph.2024.1607315","DOIUrl":"10.3389/ijph.2024.1607315","url":null,"abstract":"<p><strong>Objective: </strong>To elucidate the historical trends, underlying causes and future projections of esophageal cancer incidence in Hong Kong.</p><p><strong>Methods: </strong>Utilizing the Age-Period-Cohort (APC) model, we analyzed data from the Hong Kong Cancer Registry (1992-2021) and United Nations World Population Prospects 2022 Revision. Age-standardized incidence rates were computed, and APC models evaluated age, period, and cohort effects. Bayesian APC modeling, coupled with decomposition analysis, projected future trends and identified factors influencing incidence.</p><p><strong>Results: </strong>Between 1992 and 2021, both crude and age-standardized incidence rates of esophageal cancer witnessed significant declines. Net drifts exhibited pronounced downward trends for both sexes, with local drift diminishing across all age groups. Period and cohort rate ratios displayed a consistent monotonic decline for both sexes. Projections indicate a continued decline in esophageal cancer incidence. Population decomposition analysis revealed that epidemiological changes offset the increase in esophageal cancer cases due to population growth and aging.</p><p><strong>Conclusion: </strong>The declining trend of esophageal cancer in Hong Kong is influenced by a combination of age, period, and cohort. Sustaining and enhancing these positive trends requires continuous efforts in public health interventions.</p>","PeriodicalId":14322,"journal":{"name":"International Journal of Public Health","volume":"69 ","pages":"1607315"},"PeriodicalIF":2.6,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11335483/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142017434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-06eCollection Date: 2024-01-01DOI: 10.3389/ijph.2024.1607165
William Riley, Kailey Love, Mary Saxon, Aaron Tobian, Evan M Bloch, Ronnie Kasirye, Irene Lubega, Ezra Musisi, Aggrey Dhabangi, Dorothy Kyeyune, Jeffrey McCullough
Objectives: Blood transfusion is an important mode of infectious disease transmission in low- and middle-income countries (LMICs). This study describes a model to determine the prevalence of transfusion-transmitted infections (TTIs) and the associated burden of disease.
Methods: A five-step model was developed to determine the TTI-related burden of disease measured by disability-adjusted life years (DALYs). Uganda was selected as the study country.
Results: Approximately 298,266 units of blood were transfused in Uganda in 2019, yielding an estimated TTI incidence of 6,858 new TTIs (2.3% of transfused units) and prevalence of 19,141 TTIs (6.4% of transfused units). The total burden of disease is 2,903 DALYs, consisting of approximately 2,590 years of life lost (YLLs), and 313 years lived with disability (YLDs).
Conclusion: The incidence and prevalence of TTIs and the associated burden of disease can be calculated on a local and national level. The model can be applied by health ministries to estimate the impact of TTIs in order to develop blood safety strategies to reduce the burden of disease.
{"title":"A Model for Estimating the Burden of Disease of Transfusion-Transmitted Infection.","authors":"William Riley, Kailey Love, Mary Saxon, Aaron Tobian, Evan M Bloch, Ronnie Kasirye, Irene Lubega, Ezra Musisi, Aggrey Dhabangi, Dorothy Kyeyune, Jeffrey McCullough","doi":"10.3389/ijph.2024.1607165","DOIUrl":"10.3389/ijph.2024.1607165","url":null,"abstract":"<p><strong>Objectives: </strong>Blood transfusion is an important mode of infectious disease transmission in low- and middle-income countries (LMICs). This study describes a model to determine the prevalence of transfusion-transmitted infections (TTIs) and the associated burden of disease.</p><p><strong>Methods: </strong>A five-step model was developed to determine the TTI-related burden of disease measured by disability-adjusted life years (DALYs). Uganda was selected as the study country.</p><p><strong>Results: </strong>Approximately 298,266 units of blood were transfused in Uganda in 2019, yielding an estimated TTI incidence of 6,858 new TTIs (2.3% of transfused units) and prevalence of 19,141 TTIs (6.4% of transfused units). The total burden of disease is 2,903 DALYs, consisting of approximately 2,590 years of life lost (YLLs), and 313 years lived with disability (YLDs).</p><p><strong>Conclusion: </strong>The incidence and prevalence of TTIs and the associated burden of disease can be calculated on a local and national level. The model can be applied by health ministries to estimate the impact of TTIs in order to develop blood safety strategies to reduce the burden of disease.</p>","PeriodicalId":14322,"journal":{"name":"International Journal of Public Health","volume":"69 ","pages":"1607165"},"PeriodicalIF":2.6,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11333201/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142008818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-01eCollection Date: 2024-01-01DOI: 10.3389/ijph.2024.1607253
Jessica Gaber, Njideka Sanya, Jennifer Lawson, Iridian M Grenada, Fiona G Kouyoumdjian
Worldwide, there is a lack of systematically collected health data on people who are incarcerated. Our objective in this paper was to describe a process model of formative work for a project to strengthen health surveillance for people incarcerated under a Canadian prison authority. We have developed project structures and processes, and we are evaluating project partnerships. To inform prison health surveillance foci, we are conducting a review of literature on best practices, a qualitative study to understand stakeholders' needs and priorities, and mapping work to understand available prison health-related data. Developing and implementing prison health surveillance is gradual and developmental, necessitating time to build relationships and obtain approvals. The needs and interests of knowledge users should be prioritized, but there may be challenges to achieving a coherent vision due to feasibility and differing needs and objectives of various stakeholders. Developing collaborative relationships could help bridge this gap.
{"title":"A Process Model of Formative Work to Strengthen a Prison Health Surveillance System.","authors":"Jessica Gaber, Njideka Sanya, Jennifer Lawson, Iridian M Grenada, Fiona G Kouyoumdjian","doi":"10.3389/ijph.2024.1607253","DOIUrl":"10.3389/ijph.2024.1607253","url":null,"abstract":"<p><p>Worldwide, there is a lack of systematically collected health data on people who are incarcerated. Our objective in this paper was to describe a process model of formative work for a project to strengthen health surveillance for people incarcerated under a Canadian prison authority. We have developed project structures and processes, and we are evaluating project partnerships. To inform prison health surveillance foci, we are conducting a review of literature on best practices, a qualitative study to understand stakeholders' needs and priorities, and mapping work to understand available prison health-related data. Developing and implementing prison health surveillance is gradual and developmental, necessitating time to build relationships and obtain approvals. The needs and interests of knowledge users should be prioritized, but there may be challenges to achieving a coherent vision due to feasibility and differing needs and objectives of various stakeholders. Developing collaborative relationships could help bridge this gap.</p>","PeriodicalId":14322,"journal":{"name":"International Journal of Public Health","volume":"69 ","pages":"1607253"},"PeriodicalIF":2.6,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11324473/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141987976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-30eCollection Date: 2024-01-01DOI: 10.3389/ijph.2024.1607739
Katarina L Matthes, Kaspar Staub
{"title":"The Need to Analyse Historical Mortality Data to Understand the Causes of Today's Health Inequalities.","authors":"Katarina L Matthes, Kaspar Staub","doi":"10.3389/ijph.2024.1607739","DOIUrl":"10.3389/ijph.2024.1607739","url":null,"abstract":"","PeriodicalId":14322,"journal":{"name":"International Journal of Public Health","volume":"69 ","pages":"1607739"},"PeriodicalIF":2.6,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11319151/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141975644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}