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        <title>International Journal of Public Health | New and Recent Articles</title>
        <link>https://www.ssph-journal.org/journals/international-journal-of-public-health</link>
        <description>RSS Feed for International Journal of Public Health | New and Recent Articles</description>
        <language>en-us</language>
        <generator>Frontiers Feed Generator,version:1</generator>
        <pubDate>2026-05-28T18:58:51.429+00:00</pubDate>
        <ttl>60</ttl>
        <item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609153</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609153</link>
        <title><![CDATA[Development and external validation of an interpretable machine learning model for obesity-depression comorbidity in Korean and US adults]]></title>
        <pubdate>2026-05-28T00:00:00Z</pubdate>
        <category>Original Article</category>
        <author>Yuwen Shangguan</author><author>Zhenhao Lin</author><author>Young-Je Sim</author><author>Kunpeng Wu</author><author>Yu Chu</author><author>Kunyi Huang</author><author>Fangxi Chen</author><author>Kangkang Ji</author><author>Fang Chen</author><author>Shangrui Liu</author>
        <description><![CDATA[ObjectiveTo investigate the association between physical inactivity and obesity–depression comorbidity (ODC), defined as the co-occurrence of obesity and depression, and to develop an effective screening tool for identifying high-risk individuals to facilitate early intervention.MethodsData were obtained from 3,357 physically inactive adults enrolled in the Korea National Health and Nutrition Examination Survey (KNHANES, 2007–2012). An XGBoost machine learning framework was applied to develop predictive models. Feature selection was conducted using random forest, and the prediction mechanism was interpreted with SHAP values. The model was validated internally using KNHANES 2011–2012 data and externally with the U.S. NHANES dataset.ResultsThe XGBoost model demonstrated good discriminative performance in internal validation (AUC = 0.783 and 0.744) and achieved an external validation AUC of 0.886. Feature importance analysis revealed that insulin concentration, white blood cell count, and height were the primary predictors of ODC, with insulin exerting the strongest influence.ConclusionThis study developed a high-performing and interpretable prediction model for ODC risk. SHAP-based interpretation identified insulin as the most influential predictor within the model, suggesting that metabolic factors may be important for ODC risk stratification.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609361</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609361</link>
        <title><![CDATA[Do youth e-cigarette users perceive smoking as attractive? The dynamics of demographics and contextual factors]]></title>
        <pubdate>2026-05-26T00:00:00Z</pubdate>
        <category>Original Article</category>
        <author>Omar B. Da’ar</author><author>Maria Alamr</author><author>Randah Alalweet</author><author>Bandar AlEissa</author><author>Farah Kalmey</author>
        <description><![CDATA[ObjectiveThis study examines whether youth e-cigarette users perceive smoking as attractive and how comfort-based norms, industry promotion, and media or environmental exposures shape these perceptions.MethodsUsing a nation-wide representative 2022 Global Youth Tobacco Survey data from Saudi Arabia, we analyzed e-cigarette users’ perceptions of smoking attractiveness with descriptive statistics and a multivariable regression model to identify associated covariates.ResultsAmong 5,455 students aged 13–15 years, 14.3% had ever used e-cigarettes, and 26% of users viewed smoking as attractive. More males rated smoking favorably in crude analyses. However, adjusted model showed males had lower odds versus females. Youth exposed to secondhand smoke in enclosed public places, point-of-sale marketing, anti-smoking messages, and counter-branding marketing had reduced odds of viewing smoking as attractive, whereas those who found it as socially comfortable, offered free tobacco products by a company representative, or owning branded items had higher odds. Secondhand smoke at school or home was not significant.ConclusionFindings suggest prevention may benefit from targeting comfort-based norms and industry promotion, and future research should examine causal effects to guide youth-focused policy.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609298</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609298</link>
        <title><![CDATA[Whose education matters for later-life health trajectories? A three-generation comparison in China]]></title>
        <pubdate>2026-05-20T00:00:00Z</pubdate>
        <category>Original Article</category>
        <author>Tingshuai Ge</author><author>Qing Han</author>
        <description><![CDATA[ObjectivesThis study examined the effects of own, parental, spousal, and children’s education on later-life health trajectories in the Chinese context, exploring variations across health measures and genders in these processes.MethodsHierarchical linear regression models were employed to the data from China Health and Retirement Longitudinal Study over the period 2011–2020 (N = 15,304 individuals aged 45–85; N = 62,836 person-years).ResultsAmong men, mental health disparities by own education remained stable with age, while those linked to spousal and children’s education widened. For physical health, disparities by own education were stable, whereas those related to children’s education diminished with age. Among women, mental health disparities tied to own and family members’ education widened with age. Physical health disparities driven by own and children’s education increased with age, while those associated with spousal education remained stable.ConclusionOur findings suggest that family members’ education differentially shapes later-life health trajectories, with these processes being sensitive to health measures and gender. Policies that enhance women’s education and support disadvantaged families and are essential to reduce health inequalities among aging populations.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1608462</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1608462</link>
        <title><![CDATA[Optimizing colorectal cancer screening through quality circles of primary care physicians: a cluster randomized controlled trial]]></title>
        <pubdate>2026-05-20T00:00:00Z</pubdate>
        <category>Original Article</category>
        <author>Tamara Scharf</author><author>Marc-Andrea Janggen</author><author>Yonas Martin</author><author>Julian Jakob</author><author>Kali Tal</author><author>Nikola Biller-Andorno</author><author>Jean-Luc Bulliard</author><author>Kevin Selby</author><author>Reto Auer</author><author>Adrian Rohrbasser</author>
        <description><![CDATA[ObjectivesColorectal cancer (CRC) screening rates are low in Switzerland. This study tested whether a PCP intervention—training sessions and performance feedback within quality circles (QC) increased CRC screening rates.MethodsA pragmatic randomized controlled trial was conducted in Switzerland (2018–2021) with PCP in QC. The intervention included three training sessions, shared decision-making materials, and performance feedback based on 40 consecutive patients per PCP. The primary outcome was the difference in CRC screening rates between the intervention and control group after 12 months.ResultsOf 120 invited QC, nine participated (5 intervention, 4 control). A total of 63 PCPs (32 intervention, 31 control) collected data on 2,112 patients (1,130 intervention, 982 control; mean age 61.5, 53% women). Analysis clustered by PCP and QC showed screening rate was 58% in the intervention group vs. 42% in controls (OR1.98; 95% CI:1.14–3.42). Screening rates in the intervention group increased from 55% to 57.9% (absolute increase: 2.9%; 95% CI:1.1%–6.9%; OR1.29; 95% CI:1.08–1.55, p < 0.01).ConclusionTraining sessions and performance feedback in QC increased screening rates, but few QCs chose to participate.Clinical Trial RegistrationClinicalTrials.gov, identifier NCT03510858.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609612</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609612</link>
        <title><![CDATA[Issues and principles for legitimate and meaningful One Health monitoring]]></title>
        <pubdate>2026-05-18T00:00:00Z</pubdate>
        <category>Theory & Concept</category>
        <author>Juliette Colinas</author><author>Manon Boiteux</author><author>Cécile Aenishaenslin</author>
        <description><![CDATA[Although the One Health (OH) approach has gained prominence in health governance, no widely accepted method exists to assess the overall state of health across these interconnected domains in geographically defined settings. Available data remain fragmented, and existing evaluation frameworks largely focus on OH implementation rather than its outcomes. Two composite indices—the One Health Index and the Global One Health Index—have attempted to operationalize OH measurement, but their high level of aggregation, limited transparency, and top-down design constrain interpretability and legitimacy. We outline conceptual, logistical, and political challenges associated with measuring and monitoring OH outcomes, examine existing indices to illustrate these limitations, and argue that progress in OH measurement relies less on developing a single universal index than on establishing shared methodological principles. We propose core principles grounded in transparency and contextual relevance and highlight the need for collaborative efforts to develop clearer methodological guidance for more legitimate and meaningful OH monitoring systems.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609429</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609429</link>
        <title><![CDATA[Multiple cause of death during the COVID-19 pandemic: a population study In Colombia and Brazil]]></title>
        <pubdate>2026-05-18T00:00:00Z</pubdate>
        <category>Original Article</category>
        <author>Doris Durán</author><author>Mabel Carabali</author><author>Usama Bilal</author><author>Belinda Nicolau</author><author>Jay S. Kaufman</author>
        <description><![CDATA[ObjectivesTo assess differences in age-standardized disease-specific mortality rates derived from the underlying cause of death (UCOD) versus multiple cause of death (MCOD) data in two Latin American countries during the COVID-19 pandemic.MethodsUsing all death certificates for residents of Brazil (n = 6,207,785) and Colombia (n = 1,180,880) from 2019 through 2022, we extracted UCOD and all contributing causes, assigned weights (50% to UCOD, remainder equally among contributing causes), and calculated annual age- and sex-standardized mortality rates for neoplasms, circulatory diseases, diabetes mellitus (DM), and non-COVID communicable diseases. We then computed rate differences and rate ratios contrasting MCOD with UCOD estimates.ResultsMCOD-DM mortality exceeded UCOD by up to 70%. In Colombia, MCOD–CVD surpassed UCOD during 2020–2021, corresponding to approximately 1,950 extra male and 1,560 extra female CVD deaths in 2021. Discrepancies for neoplasms and other communicable diseases were smaller and stable.ConclusionThese findings demonstrate that MCOD methods reveal substantial underestimation of diabetes- and cardiovascular-related mortality, underscoring the value of MCOD surveillance for public health planning.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609910</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609910</link>
        <title><![CDATA[Beyond ethanol: wine, biological aging, and the Mediterranean context]]></title>
        <pubdate>2026-05-15T00:00:00Z</pubdate>
        <category>Letter to the Editor</category>
        <author>Alessandro Medoro</author><author>Giovanni Scapagnini</author><author>Sergio Davinelli</author>
        <description></description>
      </item><item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609008</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609008</link>
        <title><![CDATA[Food hygiene practice and associated factors among street food vendors in Addis Ababa; Ethiopia; mixed approach study]]></title>
        <pubdate>2026-05-14T00:00:00Z</pubdate>
        <category>Original Article</category>
        <author>Abduselam Ahmed Abdela</author><author>Tufa Kolola Huluka</author><author>Mecha Aboma Yebassa</author><author>Samuel Dessu Sifer</author>
        <description><![CDATA[ObjectivesThis study aimed to assess food hygiene practices and associated factors among street food vendors in Addis Ababa.MethodsA community-based cross-sectional study with mixed methods was conducted from 1–30 March 2024. A total of 337 vendors participated in the quantitative survey, and 25 took part in qualitative interviews and focus group discussions. Consecutive sampling was applied for the quantitative component and convenience sampling for the qualitative part. Data were collected using structured questionnaires with observational checklists and unstructured guides for qualitative interviews. Multivariable logistic regression identified predictors at p < 0.05, and qualitative data were analyzed thematically.ResultsGood hygiene practice was observed in 33.2% (95% CI:28.2–38.3). Significant factors included training (AOR: 2.43), knowledge (AOR:3.44), uninterrupted water supply (AOR: 2.52), professional visits (AOR: 5.42), and work experience >1 year (AOR: 4.68). Qualitative findings revealed barriers including inadequate water and sanitation, poor working conditions, lack of training, financial constraints, and customer pressures.ConclusionHygiene practices were generally low. Findings emphasize the need for targeted interventions in training, supervision, and infrastructure to improve food hygiene among street food vendors.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609134</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609134</link>
        <title><![CDATA[COVID-19 testing and mental health service utilization in Ontario: a population-based cohort study]]></title>
        <pubdate>2026-05-14T00:00:00Z</pubdate>
        <category>Original Article</category>
        <author>Kiran Saqib</author><author>Vivek Goel</author><author>Joel A. Dubin</author><author>Jeremy VanderDoes</author><author>Zahid Ahmad Butt</author>
        <description><![CDATA[ObjectiveTo examine differences in mental health–related healthcare utilization for anxiety and depression between individuals who did and did not undergo COVID-19 PCR testing in Ontario. Background: The COVID-19 pandemic has been associated with changes in mental health and healthcare utilization.MethodsWe conducted a population-based retrospective cohort study using linked ICES data, including 6,175,114 adults (January 2020–March 2021). Exposure was PCR-positive, PCR-negative, or untested. The outcome was time to first mental health–related healthcare use for anxiety and depression, identified using validated codes. Adjusted hazard ratios (aHRs) were estimated using Cox models with propensity score matching.ResultsIndividuals who underwent testing had higher mental health–related healthcare utilization than untested individuals. This was observed in PCR-positive (aHR 6.37; 95% CI 6.25–6.50) and PCR-negative groups (aHR 5.91; 95% CI 5.87–5.95). Higher utilization occurred among younger individuals, females, and socioeconomically disadvantaged groups. Results were consistent in matched analyses.ConclusionIndividuals underwent testing had higher mental health service utilization; similar estimates across PCR-positive and PCR-negative groups suggest testing reflects underlying vulnerability and healthcare-seeking behavior rather than a causal effect on mental health outcomes.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609376</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609376</link>
        <title><![CDATA[Potentially traumatic life events and mental health conditions. Identifying the role of resilience in a cross-sectional study from Northwestern Germany]]></title>
        <pubdate>2026-05-12T00:00:00Z</pubdate>
        <category>Original Article</category>
        <author>Felix Sisenop</author><author>Sarah Arndt</author><author>Kim-Julian Behr</author><author>Pallavi Chatarajupalli</author><author>Ingo Schäfer</author><author>Jutta Lindert</author>
        <description><![CDATA[ObjectivesPotentially traumatic life events (PTEs) are associated with increased risk of depression. Yet there is limited evidence on the association between quantity and type of PTEs and mental health in rural areas. This study examines the relationship between PTEs, resilience and mental health conditions (depression, anxiety) in Northwestern Germany.MethodsCross-sectional population-based study of adults (n = 354) assessing sociodemographic factors, resilience (BRS), depression (PHQ-9), PTEs (LEC-5). Clusters of PTEs were identified on a conceptual basis. Linear regression analysis investigated association between PTEs and mental health. Resilience as a moderator was tested.ResultsDepression was reported by 16.1% (n = 57), anxiety by 11.9% (n = 42) of the participants. PTE clusters identified were accidental/injury (n = 300, 84.7%), loss/life-threatening (n = 299, 84.5%), victimization (n = 218, 61.6%), and war/conflict-related events (n = 88, 24.9%). War/conflict-related events were linked with higher depression (B = 1.330, 95% CI: 0.013, 2.647). Resilience moderated the association between PTEs and depression.ConclusionCumulative and type of PTEs (especially war/conflict related) were associated with worse mental health. Resilience moderated associations with depression at lower resilience levels.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609249</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609249</link>
        <title><![CDATA[Barriers to utilization of primary healthcare services: a systematic review of experiences in ten selected countries]]></title>
        <pubdate>2026-05-12T00:00:00Z</pubdate>
        <category>Review</category>
        <author>Hakimeh Mostafavi</author><author>Efat Mohamadi</author><author>Amin Mohammadi</author><author>Ahad Bakhtiari</author><author>Jawad Jafarzadeh</author><author>Alireza Olyaeemanesh</author><author>Amirhossein Takian</author>
        <description><![CDATA[ObjectivesThis study aimed to identify the reasons for inadequate use of PHC services to mitigate the barriers to utilization of PHC services in Saudi Arabia, Oman, Türkiye, Pakistan, Iraq, Thailand, China, India, Egypt, and Iran.MethodsThis is a systematic review that synthesized the findings of original studies focused on the barriers to the utilization of PHC services. We searched the MEDLINE, Scopus, and Google Scholar databases from February 1, 2000, to December 29, 2023, in English. We conducted content analysis facilitated by MAXQDA-10 software drawn upon Levesque’s framework.ResultsThe screening of articles was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist. The initial search retrieved 1,613 results, of which we included 29 studies. In terms of methodology, 17 studies used quantitative methods, eight had qualitative approaches, and the remaining studies utilized mixed or other methods. Among the five groups of identified barriers, ability to perceive, ability to reach, and ability to pay were found to be noteworthy barriers that should be considered by health policymakers.ConclusionAlthough the main barriers to inadequate use of PHC are related to people, raising awareness about the need for PHC, improving literacy through understandable training, and establishing mobile facilities in remote areas are appropriate strategies for increasing the use of PHC services.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1608922</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1608922</link>
        <title><![CDATA[Influence of the Workplace on Influenza and COVID-19 Vaccination Acceptance Among Swiss Healthcare Workers During Season 2021/22]]></title>
        <pubdate>2026-05-08T00:00:00Z</pubdate>
        <category>Original Article</category>
        <author>Olga Morgel</author><author>Astrid Czock</author><author>Jan Fehr</author><author>Phung Lang</author>
        <description><![CDATA[ObjectivesHealthcare workers (HCWs) are essential in preventing and controlling infectious diseases and can influence public trust in vaccines. This study compares vaccination behaviors among HCWs in a Swiss hospital setting with those in primary care and identifies key factors influencing vaccine acceptance.MethodsAn online questionnaire was distributed to HCWs at a cantonal hospital in Central Switzerland. The results were compared with a previous nationwide survey of German-speaking HCWs in primary care using descriptive statistics, chi-square tests, and multivariable logistic regression analyses.ResultsInfluenza vaccination coverage was 37.2% in hospitals and 59.8% in primary care. COVID-19 vaccination rates were high in both settings (89.1% and 92.7%, respectively). Physicians and older HCWs were significantly more likely to be vaccinated than nurses and younger staff. Vaccination training and prior vaccination history were associated with higher vaccination rates and stronger recommendation behavior. The most common reasons supporting vaccination were self-protection and patient protection.ConclusionVaccination behavior among HCWs differs considerably by healthcare setting and profession. Targeted vaccination training, particularly for younger HCWs and nurses in hospital settings, may help increase vaccine acceptance.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609235</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609235</link>
        <title><![CDATA[A systematic review of enhancing urban disaster resilience for smart cities: from a perspective of social network analysis]]></title>
        <pubdate>2026-05-08T00:00:00Z</pubdate>
        <category>Review</category>
        <author>Yongzhu Zhang</author><author>Shiyao Zhu</author>
        <description><![CDATA[ObjectivesThis study examines how Social Network Analysis (SNA) contributes to understanding and enhancing urban resilience, addressing the need to integrate social dimensions beyond technology-driven smart city approaches.MethodsA systematic literature review combining bibliometric and content analysis was conducted on 89 peer-reviewed articles to identify key themes, node types, and applications of SNA in resilience research.ResultsFindings show that urban resilience is shaped by interactions among community, institutional, and infrastructure networks, though most studies focus on isolated network types. SNA applications have evolved from small-scale surveys to social media and multi-source data, yet longitudinal analyses remain limited. Highly central nodes are often assumed to enhance resilience, but causal relationships are rarely tested. Additionally, social ties, community engagement, and behavioral factors emerge as critical drivers, while challenges persist in data integration, dynamic analysis, and incorporating human behavior into network models.ConclusionAdvancing SNA for urban resilience requires integrating diverse data sources, longitudinal approaches, and behavioral insights to support more inclusive, adaptive, and evidence-based urban policy and disaster management strategies.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609357</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609357</link>
        <title><![CDATA[Japanese version of the motivation to change lifestyle and health behaviors for dementia risk reduction scale: a cross-cultural validation]]></title>
        <pubdate>2026-05-07T00:00:00Z</pubdate>
        <category>Original Article</category>
        <author>Fumiya Nakai</author><author>Toshiro Horigome</author><author>Mayu Fujikawa</author><author>Haruaki Horie</author><author>Masaru Mimura</author><author>Taishiro Kishimoto</author>
        <description><![CDATA[ObjectivesThis study examined the reliability and validity of a Japanese version of the Motivation to Change Lifestyle and Health Behaviors for Dementia Risk Reduction (MCLHB-DRR) scale, which assesses the motivation to change lifestyle and health behavior for preventing major neurocognitive disorder based on the health belief model.MethodsThe scale was translated using Brislin’s translation model. A total of 500 Japanese adults aged 40–89 years were recruited online. The translated version was evaluated for content validity, internal consistency, and test-retest reliability over 2 weeks.ResultsExploratory factor analysis revealed a seven-factor model that explained 58% of the variance. Cronbach’s α was >0.7 for all seven subscales and item–total correlations were significant for all items. Confirmatory factor analysis exhibited a moderate fit, and the factor loadings were significant for all items. ICC (1,1) showed moderate test-retest reliability.ConclusionThe Japanese version of the MCLHB-DRR test showed high reliability and validity among Japanese older adults.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1608466</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1608466</link>
        <title><![CDATA[Immunization Coverage and Associated Factors Among Children Aged 18 to 72 Months in Communities With High Malaria Transmission, Bioko Island]]></title>
        <pubdate>2026-05-07T00:00:00Z</pubdate>
        <category>Original Article</category>
        <author>Esther Eburi Losoha</author><author>Maria Silvia A. Lopez Mikue</author><author>Guillermo A. García</author><author>Thabith Athuman</author><author>Amanda Ross</author><author>Claudia Daubenberger</author><author>Sonja Merten</author>
        <description><![CDATA[ObjectiveTo estimate routine immunization coverage, compare coverage estimates derived from vaccination cards and caregiver recall, and investigate factors associated with incomplete immunization among children aged 18 months to 6 years in communities with a high malaria prevalence in the Malabo district of Equatorial Guinea.MethodsA cross-sectional survey was nested within a larger study and was conducted between September 2019 and March 2020. Children aged 18 months to 6 years living in 13 malaria-endemic communities in Malabo District, Bioko Island were enrolled. Immunization status was ascertained from vaccination cards or caregiver recall.ResultsOf the 297 children, with verified immunization status, 86 (29%) were fully immunized according to the national schedule. Coverage estimates were similar whether verified by vaccination card (28%, 34/121) or caregiver recall (30%, 52/176). Children aged 18 months and 2 years had higher completion rates than children aged 2–6 years: 45% (39/86) versus 22% (47/211), aOR = 0.42, 95% CI [0.20, 0.87]). The other factors examined (sex, ethnicity andcommunity area) were not significantly associated with immunization status.ConclusionOverall immunization coverage in this population was low. Younger children had higher completion rates, possibly reflecting improved program performance in recent years or differential recall bias. Further community based studies, in both urban and peri-urban areas needed to identify reasons for gaps in vaccination coverage and to inform targeted interventions.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1608524</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1608524</link>
        <title><![CDATA[Comparative analysis of ARIMA and Holt-Winter’s additive models for describing human respiratory syncytial virus activity in Yaoundé, Cameroon]]></title>
        <pubdate>2026-05-06T00:00:00Z</pubdate>
        <category>Original Article</category>
        <author>Moise Henri Moumbeket-Yifomnjou</author><author>Chavely Gwladys Monamele</author><author>Desmon Toutou Tsafack</author><author>Mohamadou Ripa Njankouo</author><author>Aristide Mounchili-Njifon</author><author>Paul Alain Tagnouokam-Ngoupo</author><author>Abdou Fatawou Modiyinji</author><author>Boyomo Onana</author><author>Richard Njouom</author>
        <description><![CDATA[ObjectivesHuman respiratory syncytial virus (HRSV) is a major cause of respiratory infections in children and older adults. This study compared the Autoregressive Integrative Moving Average (ARIMA) and Holt-Winter’s Additive models to describe HRSV activity in Yaoundé, Cameroon.MethodsIn a three-year retrospective study (July 2020–December 2022), analyzed 1,774 nasopharyngeal samples from patients with severe acute respiratory infections (SARI) and influenza-like illness (ILI) were analysed across five sentinel sites in Yaoundé. The ARIMA model assessed the relationship between HRSV activity and meteorological factors (temperature, humidity, rainfall, solar radiation), while Holt-Winter’s Additive model described HRSV activity without climate variables. Model performance was evaluated using stationary R2 and root mean square error (RMSE).ResultsHRSV was detected in 8.5% (151/1774) samples. Holt-Winter’s model outperformed ARIMA, achieving a stationary R2 of 77.6% and an RMSE of 7.40. ARIMA models for individual climate variables performed poorly (<6% R2), but the combined 12-variable model improved to 56.4% and an RMSE of 12.94.ConclusionHolt-Winter’s model is more effective for predicting HRSV activity. These findings can guide public health interventions to reduce HRSV’s impact in Cameroon.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609757</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609757</link>
        <title><![CDATA[Sleep Disorders: A Blind Spot in Disease Burden Research]]></title>
        <pubdate>2026-05-06T00:00:00Z</pubdate>
        <category>Editorial</category>
        <author>Luisa Sophie Welter</author><author>Christoph Nissen</author><author>Björn Rasch</author><author>Raphael Heinzer</author><author>Alexandre Nikolaus Datta</author><author>Ester Piovesana</author><author>Martine Bouvier Gallacchi</author><author>Virginie Sterpenich</author><author>Claudio Lino Alberto Bassetti</author>
        <description></description>
      </item><item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609627</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609627</link>
        <title><![CDATA[Smart city development and medical service performance: evidence from a province-level panel study in China]]></title>
        <pubdate>2026-05-04T00:00:00Z</pubdate>
        <category>Original Article</category>
        <author>Xu Shao</author><author>Xi Liu</author><author>Jie Che</author><author>Bing Yang</author>
        <description><![CDATA[ObjectivesThis study examines whether smart city development is associated with improvements in medical service performance across Chinese provinces, addressing the limited large-scale quantitative evidence on digital governance and healthcare systems in developing-country contexts.MethodsA balanced province-level panel dataset covering 31 provinces in mainland China from 2013 to 2024 was constructed using national statistical yearbooks and official smart city pilot lists. Medical service performance was measured by a composite Medical Service Performance Index (MSPI) capturing healthcare utilization structure, care quality, and preventive health management capacity. Two-way fixed effects models were applied to estimate the association between smart city exposure and healthcare system performance.ResultsHigher smart city exposure is associated with improved medical service performance. In baseline models, smart city exposure is positively related to MSPI (β = 0.182, p < 0.01). Mechanism analyses show improvements in preventive health management (β = 0.184, p < 0.01), care quality (β = 0.135, p < 0.01), and reduced reliance on high-intensity hospital services (β = −0.120, p < 0.01). After accounting for these mechanisms, the direct association becomes statistically insignificant.ConclusionSmart city development is linked to better medical service performance in China, suggesting that digital governance initiatives may strengthen healthcare systems through improved coordination, care quality, and preventive health management.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609678</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609678</link>
        <title><![CDATA[Expanding equity horizons in knowledge sharing: How can global health journals level up?]]></title>
        <pubdate>2026-05-01T00:00:00Z</pubdate>
        <category>Commentary</category>
        <author>Shashika Bandara</author><author>Carmen Sant Fruchtman</author><author>Nandi Joubert</author><author>Lucienne Zinsstag</author><author>Ananya Banerjee</author><author>Isabel Munoz Beaulieu</author><author>Moses Tetui</author><author>Vivian Qiang</author>
        <description></description>
      </item><item>
        <guid isPermaLink="true">https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609478</guid>
        <link>https://www.ssph-journal.org/articles/10.3389/ijph.2026.1609478</link>
        <title><![CDATA[The Future of Implementation Science for Public Health and Healthcare: Insights From the Swiss Implementation Science Network (IMPACT) Conference 2024]]></title>
        <pubdate>2026-04-28T00:00:00Z</pubdate>
        <category>Commentary</category>
        <author>Sabina M. De Geest</author><author>Aita Signorell</author><author>Sarah Serhal</author><author>Kaspar Wyss</author><author>Marina Boccardi</author><author>Juliane Mielke</author><author>Suzanne Dhaini</author><author>Bastiaan Van Grootven</author><author>Sophie Gendolla</author><author>Christina Akre</author><author>Carole E. Aubert</author><author>Thekla Brunkert</author><author>Lauren Clack</author><author>Guy Haller</author><author>Cedric Mabire</author><author>Kate Molesworth</author><author>Aimad Ourahmoune</author><author>Jürg Utzinger</author><author>Marie Schneider</author>
        <description></description>
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