Clinical Epidemiology and Global Health最新文献

Epidemiological investigation of depressive disorders in healthcare workers throughout 12 years in the governorate of Sousse, Tunisia

IF 2.3 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

Clinical Epidemiology and Global Health

Pub Date : 2025-02-22 DOI: 10.1016/j.cegh.2025.101967

Marwa Bouhoula , Amen Moussa , Asma Chouchane , Amal Ghenim , Rania Elghezal , Asma Gaddour , Narjes Belhadj , Sonia Kammoun , Asma Aloui , Imène Kacem , Maher Maoua , Houda Kalboussi , Olfa Elmaalel , Souheil Chatti , Aicha Brahem

Background

Depressive disorders are a major global health challenge and are projected to become a leading cause of disability by 2030.

Aims

Examine the epidemiological characteristics of depressive disorders among healthcare workers and identify key associated risk factors.

Methods

A retrospective descriptive study was conducted at the Regional Health Directorate of Sousse, focusing on healthcare workers on long-term sick leave (LTSL) due to depressive disorders from 2010 to 2021. Data were collected from medical and administrative records and a questionnaire covering socio-professional and medical information. Diagnoses were based on DSM-5 criteria. Statistical analysis was conducted using SPSS version 26.

Results

Among 650 healthcare workers studied, 12.8 % were diagnosed with depressive disorders. Of these, 13 % reported work-related conflicts, 3.5 % had exposure to severe infectious diseases before COVID-19, and 17 % had direct contact with COVID-19 patients. Additionally, 71.4 % of participants with depressive disorders presented with anxiety, and 50 % had moderate depression. Significant associations (p < 0.05) were found between disorder severity and occupational exposures, medical history, and the impact of COVID-19.

Conclusion

Depressive disorders among healthcare workers are a pressing public health issue, with occupational factors like work-related conflicts and exposure to infectious diseases identified as key risk factors. Addressing these issues through psychological support programs and workplace interventions is essential to safeguard the mental well-being of healthcare workers and ensure the sustainability of healthcare services.

{"title":"Epidemiological investigation of depressive disorders in healthcare workers throughout 12 years in the governorate of Sousse, Tunisia","authors":"Marwa Bouhoula , Amen Moussa , Asma Chouchane , Amal Ghenim , Rania Elghezal , Asma Gaddour , Narjes Belhadj , Sonia Kammoun , Asma Aloui , Imène Kacem , Maher Maoua , Houda Kalboussi , Olfa Elmaalel , Souheil Chatti , Aicha Brahem","doi":"10.1016/j.cegh.2025.101967","DOIUrl":"10.1016/j.cegh.2025.101967","url":null,"abstract":"<div><h3>Background</h3><div>Depressive disorders are a major global health challenge and are projected to become a leading cause of disability by 2030.</div></div><div><h3>Aims</h3><div>Examine the epidemiological characteristics of depressive disorders among healthcare workers and identify key associated risk factors.</div></div><div><h3>Methods</h3><div>A retrospective descriptive study was conducted at the Regional Health Directorate of Sousse, focusing on healthcare workers on long-term sick leave (LTSL) due to depressive disorders from 2010 to 2021. Data were collected from medical and administrative records and a questionnaire covering socio-professional and medical information. Diagnoses were based on DSM-5 criteria. Statistical analysis was conducted using SPSS version 26.</div></div><div><h3>Results</h3><div>Among 650 healthcare workers studied, 12.8 % were diagnosed with depressive disorders. Of these, 13 % reported work-related conflicts, 3.5 % had exposure to severe infectious diseases before COVID-19, and 17 % had direct contact with COVID-19 patients. Additionally, 71.4 % of participants with depressive disorders presented with anxiety, and 50 % had moderate depression. Significant associations (p < 0.05) were found between disorder severity and occupational exposures, medical history, and the impact of COVID-19.</div></div><div><h3>Conclusion</h3><div>Depressive disorders among healthcare workers are a pressing public health issue, with occupational factors like work-related conflicts and exposure to infectious diseases identified as key risk factors. Addressing these issues through psychological support programs and workplace interventions is essential to safeguard the mental well-being of healthcare workers and ensure the sustainability of healthcare services.</div></div>","PeriodicalId":46404,"journal":{"name":"Clinical Epidemiology and Global Health","volume":"32 ","pages":"Article 101967"},"PeriodicalIF":2.3,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143487062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spatiotemporal dynamics of dengue hotspots in an urbanizing landscape: A five-year analysis in Selangor, Malaysia

IF 2.3 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

Clinical Epidemiology and Global Health

Pub Date : 2025-02-22 DOI: 10.1016/j.cegh.2025.101966

Nur Athen Mohd Hardy Abdullah , Nazri Che Dom , Siti Aekbal Salleh , Hasber Salim , Nopadol Precha , Rahmat Dapari

Introduction

Spatial analysis plays a crucial role in vector control by assessing disease dynamics and identifying risk areas. While numerous studies have examined dengue incidence in Malaysia, few have specifically investigated prolonged localized dengue epidemics lasting more than 30 days. This study aims to analyze the distribution and patterns of dengue hotspots in Selangor from 2017 to 2021.

Methods

Dengue hotspot coordinates were obtained from Google Maps and mapped using ArcGIS. Heat maps were generated to visualize temporal and spatial hotspot patterns across epidemiological weeks and districts. Hotspot analysis was conducted to identify areas with a high frequency of dengue cases.

Results

Over 400 dengue hotspots were identified, primarily concentrated in Gombak, Hulu Langat, Klang, and Petaling districts characterized by high population densities exceeding 1000 individuals per km². Peak dengue hotspot occurrences (≥70 per week) were observed during three seasonal periods: January–March, June–September, and October–December.

Conclusion

This study provides new insights into the spatial-temporal distribution of prolonged dengue outbreaks in Selangor. The findings can inform targeted vector control strategies and policy interventions in high-risk areas.

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引用次数: 0

Determine the promotion target of exclusive breastfeeding among poor families in Indonesia

IF 2.3 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

Clinical Epidemiology and Global Health

Pub Date : 2025-02-18 DOI: 10.1016/j.cegh.2025.101960

Mizna Sabilla , Agung Dwi Laksono , Hario Megatsari

Background

Promoting exclusive breastfeeding (EBF) for poor families is expected to have a big impact on children's future development. The study analyzed the promotion target to increase EBF among poor families in Indonesia.

Methods

It was a cross-sectional study that looked at 48,995 children. We examined EBF practice as a dependent variable. We included eight characteristics as independent variables (residence, maternal age, marital, education, employment, wealth, antenatal care (ANC), and early initiation of breastfeeding (EIBF). Finally, we did a binary logistic regression test.

Results

The data reveals that the percentage of exclusive breastfeeding (EBF) among impoverished households in Indonesia is 39.9 %. The outcome showed that mothers in rural areas were 1.235 times more likely than those in urban areas to perform EBF (95 % CI 1.229–1.241). According to maternal age, all ages were more likely to achieve EBF than <20. Moreover, based on marital status, married mothers were 1.055 times more likely than divorced/widowed mothers to perform EBF (95 % CI 1.034–1.076). Mothers with all education levels were more likely than those without education to achieve EBF. Mothers with ANC were 1.430 times more likely to achieve EBF than those without (95 % CI 1.416–1.444). Mothers who perform EIBF were 1.624 times more likely than those who did not perform EIBF to achieve EBF (95 % CI 1.616–1.632).

Conclusion

Six mother characteristics were the specific promotion target among poor families to increase EBF in Indonesia: living in urban areas, being young, having divorced/widowed status, having a poor education, and not performing ANC and EIBF.

{"title":"Determine the promotion target of exclusive breastfeeding among poor families in Indonesia","authors":"Mizna Sabilla , Agung Dwi Laksono , Hario Megatsari","doi":"10.1016/j.cegh.2025.101960","DOIUrl":"10.1016/j.cegh.2025.101960","url":null,"abstract":"<div><h3>Background</h3><div>Promoting exclusive breastfeeding (EBF) for poor families is expected to have a big impact on children's future development. The study analyzed the promotion target to increase EBF among poor families in Indonesia.</div></div><div><h3>Methods</h3><div>It was a cross-sectional study that looked at 48,995 children. We examined EBF practice as a dependent variable. We included eight characteristics as independent variables (residence, maternal age, marital, education, employment, wealth, antenatal care (ANC), and early initiation of breastfeeding (EIBF). Finally, we did a binary logistic regression test.</div></div><div><h3>Results</h3><div>The data reveals that the percentage of exclusive breastfeeding (EBF) among impoverished households in Indonesia is 39.9 %. The outcome showed that mothers in rural areas were 1.235 times more likely than those in urban areas to perform EBF (95 % CI 1.229–1.241). According to maternal age, all ages were more likely to achieve EBF than <20. Moreover, based on marital status, married mothers were 1.055 times more likely than divorced/widowed mothers to perform EBF (95 % CI 1.034–1.076). Mothers with all education levels were more likely than those without education to achieve EBF. Mothers with ANC were 1.430 times more likely to achieve EBF than those without (95 % CI 1.416–1.444). Mothers who perform EIBF were 1.624 times more likely than those who did not perform EIBF to achieve EBF (95 % CI 1.616–1.632).</div></div><div><h3>Conclusion</h3><div>Six mother characteristics were the specific promotion target among poor families to increase EBF in Indonesia: living in urban areas, being young, having divorced/widowed status, having a poor education, and not performing ANC and EIBF.</div></div>","PeriodicalId":46404,"journal":{"name":"Clinical Epidemiology and Global Health","volume":"32 ","pages":"Article 101960"},"PeriodicalIF":2.3,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143454994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Celiac disease and COVID-19: Leveraging health registries for crucial insights and public health strategies

IF 2.3 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

Clinical Epidemiology and Global Health

Pub Date : 2025-02-14 DOI: 10.1016/j.cegh.2025.101962

Beatrice Gasperini , Antonio Cherubini , Marco Pompili , Donatella Sarti , Emilia Prospero

Background

Celiac disease is an immune-mediated disorder triggered by gluten in genetically predisposed individuals, characterized by the presence of specific antibodies and inflammation of the small intestine. This study aims to assess the risk of SARS-CoV-2 infection and clinical outcomes among individuals with celiac disease compared to the general population using administrative data from health registries.

Methods

This retrospective case-control study was conducted in the Marche region, Italy, using the Celiac Disease Registry and the Italian National Monitoring System for COVID-19, from February 25, 2020, to March 31, 2021. Propensity score matching (1:1) was applied to compare celiac patients and controls based on age, sex, residence. Socio-demographic variables, chronic conditions, clinical outcomes were assessed.

Results

Among 4488 celiac patients, 209 (4.65 %, 95 % CI: 4.05–5.31 %) contracted COVID-19. The infection rate in the celiac group (4.65 %) was similar to that in the non-celiac (4.43 %) (OR: 1.05, 95 % CI: 0.91–1.21, p = 0.49). Hospitalizations occurred in 7.2 % of non-celiac patients and 2.9 % of celiac patients (p = 0.015). After propensity score matching, 417 individuals were included in the analysis, showing no significant differences in clinical outcomes, including hospitalization and mortality, between the groups (p > 0.05).

Conclusions

By integrating data from the Celiac Disease Registry and COVID-19 Monitoring System, we conducted a comprehensive analysis, providing valuable insights with minimal resource investment compared to interview-based studies. The findings suggest that celiac patients do not require additional COVID-19 precautions beyond standard public health measures, supporting the use of registries for informed healthcare decision-making.

{"title":"Celiac disease and COVID-19: Leveraging health registries for crucial insights and public health strategies","authors":"Beatrice Gasperini , Antonio Cherubini , Marco Pompili , Donatella Sarti , Emilia Prospero","doi":"10.1016/j.cegh.2025.101962","DOIUrl":"10.1016/j.cegh.2025.101962","url":null,"abstract":"<div><h3>Background</h3><div>Celiac disease is an immune-mediated disorder triggered by gluten in genetically predisposed individuals, characterized by the presence of specific antibodies and inflammation of the small intestine. This study aims to assess the risk of SARS-CoV-2 infection and clinical outcomes among individuals with celiac disease compared to the general population using administrative data from health registries.</div></div><div><h3>Methods</h3><div>This retrospective case-control study was conducted in the Marche region, Italy, using the Celiac Disease Registry and the Italian National Monitoring System for COVID-19, from February 25, 2020, to March 31, 2021. Propensity score matching (1:1) was applied to compare celiac patients and controls based on age, sex, residence. Socio-demographic variables, chronic conditions, clinical outcomes were assessed.</div></div><div><h3>Results</h3><div>Among 4488 celiac patients, 209 (4.65 %, 95 % CI: 4.05–5.31 %) contracted COVID-19. The infection rate in the celiac group (4.65 %) was similar to that in the non-celiac (4.43 %) (OR: 1.05, 95 % CI: 0.91–1.21, p = 0.49). Hospitalizations occurred in 7.2 % of non-celiac patients and 2.9 % of celiac patients (p = 0.015). After propensity score matching, 417 individuals were included in the analysis, showing no significant differences in clinical outcomes, including hospitalization and mortality, between the groups (p > 0.05).</div></div><div><h3>Conclusions</h3><div>By integrating data from the Celiac Disease Registry and COVID-19 Monitoring System, we conducted a comprehensive analysis, providing valuable insights with minimal resource investment compared to interview-based studies. The findings suggest that celiac patients do not require additional COVID-19 precautions beyond standard public health measures, supporting the use of registries for informed healthcare decision-making.</div></div>","PeriodicalId":46404,"journal":{"name":"Clinical Epidemiology and Global Health","volume":"32 ","pages":"Article 101962"},"PeriodicalIF":2.3,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143420240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Geospatial insights into chronic bronchitis: Evaluating hotspots and environmental factors in MUDHRA-cohort of Mysuru district, India

IF 2.3 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

Clinical Epidemiology and Global Health

Pub Date : 2025-02-13 DOI: 10.1016/j.cegh.2025.101921

Manjunatha M.C , Mahesh P.A , Madhu B , Sawant Sushant Anil , Karthik C.B

Background

Geospatial techniques are critical for identifying potential environmental risk factors and implementing effective prevention strategies for chronic diseases. The Mysuru stUdies of Determinants of Health in Rural Adults (MUDHRA)-Cohort was a notable study that systematically investigated the prevalence and risk factors associated with Chronic Bronchitis (CB) in 16 randomly selected villages of Mysuru District between 2006 and 2009. The objective of this study is to spatially visualize the highest prevalence of MUDHRA-CB at village level, and identifying potential environmental risk factors.

Methods

An analysis was conducted on a total of 8457 individuals aged 30 years and older to ascertain the presence of chronic bronchitis symptoms. To assess the prevalence of chronic bronchitis, a door-to-door survey was conducted using international Burden of Obstructive Lung Disease (BOLD) study questionnaires. The thematic map of chronic bronchitis burden was generated using Geographic Information System (GIS) tools and overlaid on the land use and land cover patterns extracted from Remote Sensing (RS) satellite images.

Results

The thematic map identified Karya village has having the highest prevalence (14.82 %), while there were no reported cases of chronic bronchitis in Alatthuru village. The land use land cover map generated showed the presence of a mine located around 310 m from Karya village. Inhalation of dust particles from the mine operations and wind direction could be attributed to the higher prevalence of chronic bronchitis.

Conclusion

Spatial epidemiological research studies that incorporate RS, GIS, and local field studies may aid in identifying potential environmental factors associated with a higher risk of chronic conditions.

{"title":"Geospatial insights into chronic bronchitis: Evaluating hotspots and environmental factors in MUDHRA-cohort of Mysuru district, India","authors":"Manjunatha M.C , Mahesh P.A , Madhu B , Sawant Sushant Anil , Karthik C.B","doi":"10.1016/j.cegh.2025.101921","DOIUrl":"10.1016/j.cegh.2025.101921","url":null,"abstract":"<div><h3>Background</h3><div>Geospatial techniques are critical for identifying potential environmental risk factors and implementing effective prevention strategies for chronic diseases. The <strong>M</strong>ysuru st<strong>U</strong>dies of <strong>D</strong>eterminants of <strong>H</strong>ealth in <strong>R</strong>ural <strong>A</strong>dults (MUDHRA)-Cohort was a notable study that systematically investigated the prevalence and risk factors associated with Chronic Bronchitis (CB) in 16 randomly selected villages of Mysuru District between 2006 and 2009. The objective of this study is to spatially visualize the highest prevalence of MUDHRA-CB at village level, and identifying potential environmental risk factors.</div></div><div><h3>Methods</h3><div>An analysis was conducted on a total of 8457 individuals aged 30 years and older to ascertain the presence of chronic bronchitis symptoms. To assess the prevalence of chronic bronchitis, a door-to-door survey was conducted using international Burden of Obstructive Lung Disease (BOLD) study questionnaires. The thematic map of chronic bronchitis burden was generated using Geographic Information System (GIS) tools and overlaid on the land use and land cover patterns extracted from Remote Sensing (RS) satellite images.</div></div><div><h3>Results</h3><div>The thematic map identified Karya village has having the highest prevalence (14.82 %), while there were no reported cases of chronic bronchitis in Alatthuru village. The land use land cover map generated showed the presence of a mine located around 310 m from Karya village. Inhalation of dust particles from the mine operations and wind direction could be attributed to the higher prevalence of chronic bronchitis.</div></div><div><h3>Conclusion</h3><div>Spatial epidemiological research studies that incorporate RS, GIS, and local field studies may aid in identifying potential environmental factors associated with a higher risk of chronic conditions.</div></div>","PeriodicalId":46404,"journal":{"name":"Clinical Epidemiology and Global Health","volume":"32 ","pages":"Article 101921"},"PeriodicalIF":2.3,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143428172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development and validation of SaPeIH-Q: A questionnaire to measure knowledge, attitude, and practice on seat belt usage among pregnant women in Indonesia

IF 2.3 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

Clinical Epidemiology and Global Health

Pub Date : 2025-02-13 DOI: 10.1016/j.cegh.2025.101944

Ida Hayati , Ilham Ameera Ismail , Suzanna Daud , Muhammad Syafiee Mohd Rashid , Zaliha Ismail

Problems considered

The outcome on mortality and morbidity to both mother and child from motor vehicle accidents are associated with proper seat belt usage. This study aims to develop and validate Sabuk.Pengaman.Pada.Ibu.Hamil Questionnaire (SaPeIH-Q), a questionnaire in the Indonesian Language that measures knowledge, attitude, and practice on seat belt usage among pregnant women.

Methods

Stage 1 was development of the questionnaire and stage 2 involved the validity and reliability testing. A total of 43 items under three domains were developed based on literature review and the health belief model theory. The SaPeIH-Q validation process includes content validity by a panel of seven experts and one pregnant women, face validity by ten pregnant women, construct validity using exploratory factor analysis by 80 participants, and reliability analysis using Cronbach Alpha.

Results

From the content validity, two out of 12 knowledge items were removed due to low Item Content Validity (I-CVI) values. One of the 14 attitude items was revised but retained. In the practice domain, all 17 items have an I-CVI value of more than 0.78 but the number of items were reduced to six due to repetition, and one item was moved to the knowledge domain. Construct validity was carried out for the knowledge and attitude domains respectively. From the construct validation process, the knowledge items were further reduced from 11 to 10, and the attitude items from 14 to 12. The Cronbach alpha values of each of the 3 domains were 0.931, 0.956, and 0.911 respectively.

Conclusion

The final Indonesian Language SaPeIH-Q with 28 items or questions is a valid and reliable instrument for measuring knowledge, attitude, and practice on seat belt usage among pregnant women.

{"title":"Development and validation of SaPeIH-Q: A questionnaire to measure knowledge, attitude, and practice on seat belt usage among pregnant women in Indonesia","authors":"Ida Hayati , Ilham Ameera Ismail , Suzanna Daud , Muhammad Syafiee Mohd Rashid , Zaliha Ismail","doi":"10.1016/j.cegh.2025.101944","DOIUrl":"10.1016/j.cegh.2025.101944","url":null,"abstract":"<div><h3>Problems considered</h3><div>The outcome on mortality and morbidity to both mother and child from motor vehicle accidents are associated with proper seat belt usage. This study aims to develop and validate <em>Sabuk</em>.<em>Pengaman</em>.<em>Pada</em>.<em>Ibu</em>.<em>Hamil</em> Questionnaire (SaPeIH-Q), a questionnaire in the Indonesian Language that measures knowledge, attitude, and practice on seat belt usage among pregnant women.</div></div><div><h3>Methods</h3><div>Stage 1 was development of the questionnaire and stage 2 involved the validity and reliability testing. A total of 43 items under three domains were developed based on literature review and the health belief model theory. The SaPeIH-Q validation process includes content validity by a panel of seven experts and one pregnant women, face validity by ten pregnant women, construct validity using exploratory factor analysis by 80 participants, and reliability analysis using Cronbach Alpha.</div></div><div><h3>Results</h3><div>From the content validity, two out of 12 knowledge items were removed due to low Item Content Validity (I-CVI) values. One of the 14 attitude items was revised but retained. In the practice domain, all 17 items have an I-CVI value of more than 0.78 but the number of items were reduced to six due to repetition, and one item was moved to the knowledge domain. Construct validity was carried out for the knowledge and attitude domains respectively. From the construct validation process, the knowledge items were further reduced from 11 to 10, and the attitude items from 14 to 12. The Cronbach alpha values of each of the 3 domains were 0.931, 0.956, and 0.911 respectively.</div></div><div><h3>Conclusion</h3><div>The final Indonesian Language SaPeIH-Q with 28 items or questions is a valid and reliable instrument for measuring knowledge, attitude, and practice on seat belt usage among pregnant women.</div></div>","PeriodicalId":46404,"journal":{"name":"Clinical Epidemiology and Global Health","volume":"32 ","pages":"Article 101944"},"PeriodicalIF":2.3,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143465372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Harnessing ensemble deep learning models for precise detection of gynaecological cancers

IF 2.3 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

Clinical Epidemiology and Global Health

Pub Date : 2025-02-11 DOI: 10.1016/j.cegh.2025.101956

Chetna Vaid Kwatra , Harpreet Kaur , Saiprasad Potharaju , Swapnali N. Tambe , Devyani Bhamare Jadhav , Sagar B. Tambe

Problem considered

The accurate and timely identification of gynaecological cancers is critical for improving patient outcomes and increasing survival rates. However, diagnostic imaging for these conditions is complex and prone to human error, necessitating advanced computational methods to enhance diagnostic reliability.

Methods

This study proposes an ensemble framework combining two state-of-the-art deep learning models, ResNet50 and Inception V3, for robust gynaecological malignancy detection. The synergistic integration of these models aims to leverage their strengths, significantly improving diagnostic performance. The models were trained and validated on a comprehensive dataset of medical images, including histopathology slides and radiological scans. The ensemble model's performance was rigorously evaluated using key metrics, including sensitivity, specificity, and overall diagnostic accuracy.

Results

The ensemble model achieved remarkable diagnostic accuracy, with results showing 99.8 % accuracy, 99.6 % sensitivity, and 99.9 % specificity. In comparison, the individual performance of ResNet50 and Inception V3 models was substantially lower. This demonstrates the effectiveness of the ensemble approach in detecting a wide range of gynaecological cancers, including ovarian and cervical malignancies.

{"title":"Harnessing ensemble deep learning models for precise detection of gynaecological cancers","authors":"Chetna Vaid Kwatra , Harpreet Kaur , Saiprasad Potharaju , Swapnali N. Tambe , Devyani Bhamare Jadhav , Sagar B. Tambe","doi":"10.1016/j.cegh.2025.101956","DOIUrl":"10.1016/j.cegh.2025.101956","url":null,"abstract":"<div><h3>Problem considered</h3><div>The accurate and timely identification of gynaecological cancers is critical for improving patient outcomes and increasing survival rates. However, diagnostic imaging for these conditions is complex and prone to human error, necessitating advanced computational methods to enhance diagnostic reliability.</div></div><div><h3>Methods</h3><div>This study proposes an ensemble framework combining two state-of-the-art deep learning models, ResNet50 and Inception V3, for robust gynaecological malignancy detection. The synergistic integration of these models aims to leverage their strengths, significantly improving diagnostic performance. The models were trained and validated on a comprehensive dataset of medical images, including histopathology slides and radiological scans. The ensemble model's performance was rigorously evaluated using key metrics, including sensitivity, specificity, and overall diagnostic accuracy.</div></div><div><h3>Results</h3><div>The ensemble model achieved remarkable diagnostic accuracy, with results showing 99.8 % accuracy, 99.6 % sensitivity, and 99.9 % specificity. In comparison, the individual performance of ResNet50 and Inception V3 models was substantially lower. This demonstrates the effectiveness of the ensemble approach in detecting a wide range of gynaecological cancers, including ovarian and cervical malignancies.</div></div>","PeriodicalId":46404,"journal":{"name":"Clinical Epidemiology and Global Health","volume":"32 ","pages":"Article 101956"},"PeriodicalIF":2.3,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143420323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessment of 2021 surveillance system for under-five children with pneumonia in Bantul Regency, Indonesia

IF 2.3 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

Clinical Epidemiology and Global Health

Pub Date : 2025-02-08 DOI: 10.1016/j.cegh.2025.101958

Nining Puji Lestari , Vicka Oktaria , Samsu Aryanto , Bayu Satria Wiratama

Introduction

Hospital involvement in pneumonia surveillance for children under five was found to be limited. This study aimed to assess the sensitivity of pneumonia surveillance using the capture-recapture method and provide an overview of pneumonia morbidity and mortality in children under five.

Methods

A descriptive study using secondary data on pneumonia cases among children under five in 2021 was conducted. Data were collected from all public health centers and eight selected hospitals in Bantul Regency, chosen based on the highest number of reported cases. The sample size included all identified cases from these facilities. Cases were defined as acute pneumonia in children under five, meeting ICD-10 criteria (J12, J13, J14, J15, J16, J17, J18, and P23.9). Data were analyzed descriptively.

Results

Hospitals accounted for 87.9 % (872 cases) of the 992 cases identified from both data sources. The sensitivity of surveillance systems was 2.9 % at public health centers, 21.7 % at hospitals, and 23.9 % when considering data from both sources. Furthermore, 85.7 % (n = 14) of the deaths were attributed to unspecified congenital pneumonia.

Conclusions

The sensitivity of under-five pneumonia surveillance in Bantul remains low, primarily due to limited hospital participation. Strengthening hospital engagement in surveillance activities and enhancing interventions for congenital pneumonia is essential for improving case detection and public health response.

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引用次数: 0

Prevalence and mortality of infective endocarditis in Kazakhstan: A nationwide epidemiological study (2018–2022)

IF 2.3 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

Clinical Epidemiology and Global Health

Pub Date : 2025-02-08 DOI: 10.1016/j.cegh.2025.101959

Zhumakyz Kussainova , Mark Dayer , Tolkyn Bulegenov , Askar Abiltayev , Guzyal Abilmazhinova , Olga Tashtemirova , Gulzhanat Jakova , Sholpan Abralina , Gulnara Tuleshova , Islam Salikhanov

Background

Over the past two decades, the global incidence rate of Infective Endocarditis (IE) has increased significantly, reaching 7.0–14.3 cases per 100,000 individuals per annum. Concurrently, the three-month mortality rate has risen to nearly 40 %. Despite these alarming trends, the worldwide epidemiological profile of IE remains incomplete, mainly due to the lack of data from Central Asian countries. To address this gap, we have undertaken an in-depth analysis of the prevalence and mortality rates of IE in Kazakhstan.

Methods

Using a nationwide database, we identified the annual trends in prevalence and mortality from IE in Kazakhstan over 5 years. Cumulative survival and potential demographic and clinical predictors of mortality among 1061 patients with IE were evaluated.

Results

Between 2018 and 2022, the incidence rate of IE in Kazakhstan was 5.4 cases per 100,000 population per annum. 21.3 % of patients with IE required valve replacement. The peak in-hospital mortality rate was observed in 2021, reaching 27.8 %. Mortality rates were notably lower among patients who underwent surgery (OR 0.7; 95 % CI 0.48–0.92; p = 0.04).

Conclusions

In Kazakhstan, despite a relatively low incidence of IE, the mortality rate among patients remains alarmingly high. Our comprehensive epidemiological analysis provides critical insights into IE incidence and mortality trends in Kazakhstan, offering valuable data that can significantly enhance the understanding and management of IE across Central Asia.

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引用次数: 0

Comparing the diagnosis accuracy and efficacy of presepsin (sCD14) and nCD64 in neonatal sepsis: A systematic review and meta-analysis

IF 2.3 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

Clinical Epidemiology and Global Health

Pub Date : 2025-02-04 DOI: 10.1016/j.cegh.2025.101957

Amit Kumar Mittal , Mamta Patel , Dolat Singh Shekhawat , Pratibha Singh , Kuldeep Singh

Background

Neonatal sepsis is a leading cause of morbidity and mortality among newborns, requiring early and accurate diagnosis for effective treatment. sCD14 and nCD64 have emerged as promising biomarkers due to their enhanced sensitivity and specificity compared to traditional methods.

Objective

To evaluate and compare the diagnostic accuracy and clinical utility of sCD14 and nCD64 in detecting neonatal sepsis.

Methods

A systematic review and meta-analysis were conducted, including studies that assessed the sensitivity, specificity, and overall diagnostic performance of sCD14 and nCD64. Various key metrics such as DOR, PLR, NLR, and AUC were analyzed.

Results

Eleven studies with 1303 neonates (777 sepsis cases, 526 controls) were included. For sCD14, the pooled sensitivity was 0.82 (95 % CI: 0.65–0.92), specificity was 0.79 (95 % CI: 0.59–0.91), and AUC was 0.88. For nCD64, pooled sensitivity was 0.84 (95 % CI: 0.78–0.89), specificity was 0.79 (95 % CI: 0.65–0.88), and AUC was 0.89. Both biomarkers demonstrated high diagnostic reliability, with DORs of 18 (sCD14) and 17.04 (nCD64).

Conclusions

sCD14 and nCD64 show significant potential as reliable biomarkers for the early diagnosis of neonatal sepsis. High diagnostic accuracy makes them valuable tools for improving clinical decision-making. However, further studies are needed to validate their practical implementation in routine neonatal care, feasibility, and cost-effectiveness.

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引用次数: 0