Categories
Nevin Manimala Statistics

Epidemic trends and characteristics of notifiable infectious diseases in mainland China during the COVID-19: a nationwide surveillance study, 2020-2024

J Glob Health. 2026 Apr 10;16:04118. doi: 10.7189/jogh.16.04118.

ABSTRACT

BACKGROUND: The implementation of COVID-19 control and prevention measures has significantly influenced the incidence rates of multiple notifiable infectious diseases. We aimed to investigate the epidemiological trends of notifiable infectious diseases in mainland China from 2020 to 2024, a period spanning both stringent interventions and their subsequent relaxation.

METHODS: We systematically analysed surveillance data from the National Center for Disease Control and Prevention (2020-2024). We excluded COVID-19, monkeypox, and neonatal tetanus to ensure methodological consistency and comparability. We classified the diseases into Class A, B, and C notifiable infectious diseases and further grouped them by transmission routes: intestinal, respiratory, sexually transmitted and blood-borne, vector-borne/zoonotic, and others. We focused on incidence rates, mortality rates, seasonal patterns, and trends to inform future prevention and control strategies.

RESULTS: Between 2020 and 2024, mainland China recorded 38 notifiable infectious diseases (excluding COVID-19, monkeypox, and neonatal tetanus). The average incidence rate was 734.8945/100 000, showing an upward trend. Class A notifiable infectious diseases were extremely rare, Class B encompassed 25 types and showed a rising trend with minimal seasonal variation, and Class C included 11 types. Class C notifiable infectious diseases incidence remained relatively low from 2020 to 2022, but rose sharply in 2023 after the relaxation of COVID-19 restrictions, maintaining elevated levels in 2024, with pronounced winter/spring peaks observed, especially in 2023-2024. Respiratory infectious diseases (RIDs) exhibited the highest incidence, while blood-borne and sexually transmitted infectious diseases accounted for over 90.35% of the deaths.

CONCLUSIONS: In mainland China, strict COVID-19 measures between 2020 and 2022 significantly reduced the incidence of RIDs. However, after COVID-19 management was downgraded and restrictions were relaxed in early 2023, these diseases resurged, demonstrating a ‘suppression-rebound’ effect.

PMID:41955568 | DOI:10.7189/jogh.16.04118

Categories
Nevin Manimala Statistics

Effectiveness of mHealth-Based Nutritional Interventions on Iron Status of Pregnant Women: Systematic Review of Randomized Controlled Trials

JMIR Mhealth Uhealth. 2026 Apr 9;14:e81001. doi: 10.2196/81001.

ABSTRACT

BACKGROUND: Anemia is a global health concern. It is disproportionately prevalent among pregnant women in low-resource regions, where iron deficiency is the leading cause. Given the multifactorial nature of anemia, a range of nutritional interventions is recommended. However, effective implementation is often hindered by limited health care access, poor adherence to supplementation, and gaps in nutrition knowledge and counseling. To address these challenges and optimize hemoglobin (Hb) levels among pregnant women, mobile health (mHealth)-based nutritional interventions offer a promising alternative.

OBJECTIVE: The aim of the study is to review available evidence on the effectiveness of mHealth-based nutritional interventions on iron status (Hb and/or serum ferritin concentration) among pregnant women.

METHODS: Searches were conducted in Embase, CINAHL, Cochrane Library, PubMed, Web of Science, and Scopus, and supplemented by snowballing to identify additional relevant studies from citation lists. The key search strings comprised 4 concepts: “mobile health,” “nutritional intervention,” “Hb, anemia or iron deficiency anemia,” and “pregnant women.” Predefined inclusion and exclusion criteria were applied during screening. The methodological quality of included studies was assessed using the Risk of Bias 2 tool. The primary end point was the change in mean Hb concentration or serum ferritin level. Effect sizes (ESs) were calculated as standardized mean differences, including Cohen d and Hedges g.

RESULTS: Of the 14,284 studies identified, only 11 randomized controlled trials were included. These studies used various modes of delivery, including mobile phone calls (n=1), SMS text messaging (n=3), and mobile apps (n=4), with some using more than 2 modes (n=3). The effect of mHealth-based nutritional interventions on iron status varied significantly. In total, 4 studies demonstrated a large ES (>0.8), with 3 relying on WhatsApp Messenger as an mHealth delivery mode. Approximately 82% (9/11) of the included studies reported a positive effect (P values ranging from <.001 to .047) of the intervention on Hb level, whereas 2 studies reported no statistically significant association (P=.33 and P=.35, respectively). Notably, interventions with the largest ES achieved clinically significant improvements in Hb concentration, with within- and between-group differences exceeding 1 g/dL. However, including behavioral change theories and nutrition-sensitive components was not consistently associated with larger ESs. Due to high heterogeneity (I2>95%), attributed to variations in mHealth delivery modes, functions, and interactive features across the included studies, meta-analysis could not be performed.

CONCLUSIONS: This review demonstrates that mHealth-supported nutritional interventions effectively optimize Hb concentration in pregnant women. While SMS text messaging was less effective in improving Hb concentration, combining it with another mHealth delivery mode, such as phone calls, improved intervention effectiveness. However, the variability in mHealth delivery modes, functions, and interactive features underscores the need for tailored strategies that account for context-specific challenges, digital literacy, and access to technology to enhance effectiveness.

PMID:41955565 | DOI:10.2196/81001

Categories
Nevin Manimala Statistics

Evaluating Tumor Burden as a Predictive Biomarker for Epidermal Growth Factor Receptor Targeted Kinase Inhibitor Therapy in Advanced Non-Small Cell Lung Cancer

JCO Precis Oncol. 2026 Apr;10(4):e2500884. doi: 10.1200/PO-25-00884. Epub 2026 Apr 9.

ABSTRACT

PURPOSE: As treatment options for advanced non-small cell lung cancer (NSCLC) evolve, biomarkers are needed to guide therapy selection while balancing efficacy and toxicity. Although tumor burden is a promising candidate, its prognostic role in guiding epidermal growth factor receptor (EGFR)-targeted kinase inhibitor (TKI) therapies remains understudied in real-world settings.

METHODS: We identified patients with de novo stage IV EGFR-mutant NSCLC treated with first-line EGFR-TKI at Stanford Health Care (2000-2021). Tumor burden metrics were manually annotated from 592 baseline radiology reports, encompassing size, number, and location (1,807 lesions). Multivariable Cox regression evaluated associations between tumor burden metric and overall survival (OS), adjusting for confounders, in the overall cohort and an osimertinib subgroup. A weighted composite tumor burden score was constructed using statistically significant metrics to stratify risk.

RESULTS: Of 312 patients, bone metastasis (hazard ratio (HR)adjusted, 1.64 [95% CI, 1.23 to 2.19]) and the number of metastatic organs (HRadjusted, 1.21 [95% CI, 1.10 to 1.32]) were independently associated with worse OS and used to construct the composite score. Patients with low tumor burden (composite-score ≤ median 1.06) experienced better OS than those with high tumor burden, with a 3-year OS of 59.8% versus 41.5% (P = .001). Consistent findings were observed in the osimertinib subgroup, with a 3-year OS of 62.2% versus 44.6% (P = .03) for low versus high tumor burden.

CONCLUSION: Tumor burden may serve as a prognostic biomarker in advanced NSCLC receiving EGFR-TKIs. These findings raise the hypothesis that durable survival in low-burden patients may be achievable with monotherapy, potentially sparing unnecessary toxicity from combination regimens. This warrants prospective validation comparing monotherapy versus combination strategies.

PMID:41955549 | DOI:10.1200/PO-25-00884

Categories
Nevin Manimala Statistics

Exploring Best Practices for Screening for Financial Toxicity in Patients With Sarcoma: A Single-Institution Study

JCO Oncol Pract. 2026 Apr 9:OP2501192. doi: 10.1200/OP-25-01192. Online ahead of print.

ABSTRACT

PURPOSE: Approximately three quarters of patients with sarcoma report financial toxicity, defined as the psychosocial and economic burden of cancer care. The Comprehensive Score for Financial Toxicity (COST) is a screening questionnaire validated in patients with cancer. However, its use is not widespread in sarcoma care, likely in part due to its complexity. This study aimed to characterize financial toxicity in patients with sarcoma and evaluate whether shorter screening tools can identify high-risk patients.

METHODS: We conducted a survey and retrospective cohort study of patients treated for sarcoma at a large, academic sarcoma center in 2016-2024. Patients completed the COST questionnaire (11 graded questions, each scored on a five-point Likert scale from 0 to 4) and the shorter, four-question Worry about Affording Healthcare Scale (WAHS). We obtained clinical information from the electronic health record. We used descriptive statistics to summarize responses to COST, Pearson’s correlation coefficient to assess the association between WAHS and COST, and stepwise Spearman correlations to evaluate whether an abbreviated (1-4 question) version of COST correlated highly with total COST score.

RESULTS: Among 205 participants, the mean COST score was 20/44 (standard deviation = 6; lower scores indicate greater financial toxicity). Respondents worried most about job loss (mean COST: 0.99) and family finances (mean COST: 1.11). WAHS was weakly correlated with COST (r = 0.47, P < .01). A four-item abbreviated COST tool was strongly correlated with the total COST (ρ = 0.906, P < .0001) and demonstrated high sensitivity (96%) and moderate specificity (75%).

CONCLUSION: An abbreviated four-item COST tool could act as a clinically feasible, accurate screening tool after external validation. Routine financial toxicity screening could facilitate timely detection and referral to essential financial navigation resources.

PMID:41955544 | DOI:10.1200/OP-25-01192

Categories
Nevin Manimala Statistics

Participant Engagement With a Digital Behavioral Health App for Chronic Pain: Descriptive Secondary Analysis of a Feasibility Randomized Controlled Trial

JMIR Hum Factors. 2026 Apr 9;13:e88122. doi: 10.2196/88122.

ABSTRACT

BACKGROUND: Chronic pain is a widespread condition that impairs quality of life and is often managed primarily with medications. National guidelines now recommend nonpharmacologic, mind-and-body, and behavioral approaches as first-line or complementary treatments. However, access to these evidence-based options remains limited. Digital health technologies offer a scalable way to deliver integrative, self-care interventions that empower patients to live well with pain.

OBJECTIVE: This study examined engagement with and perceived usefulness of a patient- and health care professional-informed mobile app designed to deliver behavioral and educational content to support pain self-management.

METHODS: Adult primary care patients with chronic pain were enrolled in a 12-week feasibility trial. The app included lessons addressing the physical, emotional, and social aspects of pain; tracking and personalized insights; self-screenings; and optional in-app coaching. Participants completed baseline and 3-month surveys assessing usability and satisfaction. Engagement was evaluated through app analytics and milestone completion.

RESULTS: Of 49 patients assigned to the app, 40 (81.6%) activated it. Participants used the app for an average of 27.3 (SD 25.2) unique days and completed an average of 25.5 (SD 22.5) core lessons. Engagement highlights included 42.5% (17/40) completion of the valued living module, 25.0% (10/40) completion of all lessons, and 50.0% (20/40) use of daily check-ins. Usability ratings were high, with 86.7% (26/30) reporting that the app helped them better understand or manage their pain and 90.0% (27/30) recommending it to others.

CONCLUSIONS: Adults with chronic pain engaged with the program and reported high satisfaction with this evidence-informed digital mind-and-body intervention. Findings from this feasibility study suggest the potential for digital tools to support access to nonpharmacologic, integrative pain self-care and complement traditional clinical approaches.

PMID:41955535 | DOI:10.2196/88122

Categories
Nevin Manimala Statistics

Multifunctional Bioactive Scaffold Facilitating BMSCs-Driven Osteogenesis and Vascularization in Critical-Sized Bone Defect Repair

Adv Sci (Weinh). 2026 Apr 9:e22692. doi: 10.1002/advs.202522692. Online ahead of print.

ABSTRACT

Critical-sized bone defects (CSD) remain a major clinical challenge due to three interrelated barriers: inadequate mechanical support, insufficient osteogenic induction, and impaired angiogenesis, all of which hinder effective regeneration. To tackle these, we developed a dual-network bioactive scaffold, ermd bFGF@CB-gel, based on a chondroitin sulfate methacryloyl/bacterial cellulose gel (CB-gel) which synergistically combines three key properties: i) a photocurable biomimetic mineralized scaffold (CB-gel) for in situ bone repair with mechanical support and a bone-ECM-mimicking microenvironment for delivering bone marrow mesenchymal stem cells (BMSCs); ii) a bio-nano carrier (BC) for sustained release of bFGF which enhances the adhesion and proliferation via EGFL/Itga2b pathway, strengthens osteogenic differentiation and mineralization by activating the COMP/PI3K/AKT pathway of rat BMSCs; iii) bFGF released by the dual-network promotes migration and angiogenesis of microvascular endothelial cells by combining FGFR to activate the PI3K/AKT/eNOS pathway. In a rat CSD model, the bFGF@CB-gel achieved a statistically significant increase in new bone volume, as quantified by micro-CT, and enhanced vascular density, evaluated via immunohistochemical staining. These findings highlight the potential of bFGF@CB-gel as an effective local delivery system of BMSCs via linking biomechanics, molecular signaling, and cellular activity, which moves beyond simplistic function stacking to a rational, synergistic design for bone regeneration in CSD, addressing key challenges in reconstructive surgery.

PMID:41955503 | DOI:10.1002/advs.202522692

Categories
Nevin Manimala Statistics

Clarifying the ‘set to zero’ approach for time-varying prenatal exposures

Int J Epidemiol. 2026 Feb 18;55(2):dyag047. doi: 10.1093/ije/dyag047.

NO ABSTRACT

PMID:41955496 | DOI:10.1093/ije/dyag047

Categories
Nevin Manimala Statistics

Cohort profile: Zhejiang Healthy Aging Cohort Study (ZHACS)

Int J Epidemiol. 2026 Feb 18;55(2):dyag050. doi: 10.1093/ije/dyag050.

NO ABSTRACT

PMID:41955495 | DOI:10.1093/ije/dyag050

Categories
Nevin Manimala Statistics

Challenges in replay detection by TDLM in post-encoding resting state

Elife. 2026 Apr 9;14:RP108023. doi: 10.7554/eLife.108023.

ABSTRACT

Using temporally delayed linear modeling (TDLM) and magnetoencephalography (MEG), we investigated whether items associated with an underlying graph structure are replayed during a post-learning resting state. In these same data, we previously provided evidence for replay during online (non-rest) memory retrieval. Despite successful decoding of brain activity during a localizer task, and contrary to predictions, we found no evidence for replay during a post-learning resting state. To better understand this, we performed a hybrid simulation analysis in which we inserted synthetic replay events into a control resting state recorded prior to the actual experiment. This simulation revealed that replay detection using our current pipeline requires an extremely high replay density to reach significance (>1 replay sequence per second, with ‘replay’ defined as a sequence of reactivations within a certain time lag). Furthermore, when scaling the number of replay events with a behavioral measure, we were unable to induce a strong correlation between sequenceness and this measure. We infer that even if replay was present at plausible rates in our resting state dataset, we would lack statistical power to detect it with TDLM. Finally, contrasting our novel hybrid simulation to existing purely synthetic simulations indicated that the latter approaches overestimate the sensitivity of TDLM. We discuss approaches that might optimize the analytic methodology, including identifying boundary conditions under which TDLM can be expected to detect replay. We conclude that solving these methodological constraints will be crucial for optimizing the non-invasive measurement of human replay using MEG.

PMID:41954994 | DOI:10.7554/eLife.108023

Categories
Nevin Manimala Statistics

School-Based Caries Prevention Programs and Recruitment of High-Risk Pediatric Medicaid Populations

JAMA Netw Open. 2026 Apr 1;9(4):e265996. doi: 10.1001/jamanetworkopen.2026.5996.

ABSTRACT

IMPORTANCE: Pediatric dental-related emergency department visits have drastically increased in recent years. School-based caries prevention programs (SCPPs) aim to address unmet dental needs, yet it is unclear whether they effectively reach high-risk populations.

OBJECTIVE: To determine whether children with prior dental care utilization are more likely than children without prior utilization to participate in SCPPs.

DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study, conducted between June 2023 and October 2025, linked 2019 SCPP clinical trial data and 2016 to 2019 Medicaid claims data to examine disparities in sociodemographic characteristics and dental and dental-related medical care utilization prior to SCPP implementation between participants and nonparticipants. SCPPs were implemented in 47 primary schools in New York, New York, primarily in the Bronx, which was deemed to have the highest risk of tooth decay in the city. Participants included children aged 5 to 13 years in 2019 residing in the Bronx and continuously enrolled in Medicaid between 2018 and 2019.

EXPOSURES: Dental and dental-related medical care utilization in 2018, the year prior to SCPP implementation, demographic factors, individual-level clinical dental needs, and health system factors.

MAIN OUTCOMES AND MEASURES: The primary outcome was SCPP participation in 2019. Adjusted logistic regression was used to assess whether prior dental care use was independently associated with participation.

RESULTS: The study included 63 217 children in total (62 187 nonparticipants and 1030 participants), with a mean age of 7.7 years (95% CI, 7.6-7.7 years). There were 30 590 female children (48.4%), 1852 Asian children (2.9%), 13 926 Black children (22.0%), 31 620 Hispanic children (50.0%), and 1988 White children (3.2%). In multivariable analysis, compared with any dental visits, having no dental visits prior to SCPP implementation was associated with 17% lower odds of participating (adjusted odds ratio, 0.83; 95% CI, 0.71-0.96). Compared with having any dental emergencies, having no dental emergencies was associated with 32% increased odds of participating (adjusted odds ratio, 1.32; 95% CI, 1.08-1.62). Mitigating selection from a statewide SCPP rollout was estimated to save up to $2.4 million in nontraumatic dental-related emergency department visits.

CONCLUSIONS AND RELEVANCE: In this cross-sectional study of NY Medicaid claims data linked to SCPP participation data, there was evidence that children at high risk of tooth decay who are most in need of dental preventive services have a lower likelihood of participating in school-based prevention programs. More evidence is needed to identify successful strategies for recruitment of high-need children.

PMID:41954936 | DOI:10.1001/jamanetworkopen.2026.5996