{"id":5241,"date":"2023-05-11T09:48:06","date_gmt":"2023-05-11T13:48:06","guid":{"rendered":"https:\/\/health.uconn.edu\/population-health\/2023-publications-2\/"},"modified":"2024-01-25T12:11:24","modified_gmt":"2024-01-25T17:11:24","slug":"2023-publications-2","status":"publish","type":"page","link":"https:\/\/health.uconn.edu\/population-health\/2023-publications-2\/","title":{"rendered":"2023 Publications"},"content":{"rendered":"<div id=\"pl-5241\"  class=\"panel-layout\" ><div id=\"pg-5241-0\"  class=\"panel-grid panel-no-style\" ><div id=\"pgc-5241-0-0\"  class=\"panel-grid-cell\" ><div id=\"panel-5241-0-0-0\" class=\"so-panel widget widget_black-studio-tinymce widget_black_studio_tinymce panel-first-child panel-last-child\" data-index=\"0\" ><div class=\"textwidget\"><ul>\n<li>Allotey, PA; <strong>Harel, O<\/strong>. Modeling geostatistical incomplete spatially correlated survival data with applications to COVID-19 mortality in Ghana (2023) Spatial Statistics 54:100730, Elsevier <a href=\"https:\/\/doi.org\/10.1016\/j.spasta.2023.100730\">https:\/\/doi.org\/10.1016\/j.spasta.2023.100730<\/a><\/li>\n<\/ul>\n<ul>\n<li>Allotey, P., <strong>Harel, O.<\/strong> Bayesian Spatial Modeling of Incomplete Data with Application to HIV Prevalence in Ghana.\u00a0<em>Sankhya B<\/em>(2023). <a href=\"https:\/\/doi.org\/10.1007\/s13571-023-00308-6\">https:\/\/doi.org\/10.1007\/s13571-023-00308-6<\/a><\/li>\n<\/ul>\n<ul>\n<li><strong>Carter, E. J., <\/strong>Zavez, K., <strong>Rogers, S. C., deMayo, R., Harel, O., <\/strong>Gerber, J. S., &amp; <strong>Aseltine, R<\/strong>. H. (2023). Documented Penicillin Allergies on Antibiotic Selection at Pediatric Emergency Department Visits.\u00a0<em>Pediatric Emergency Care<\/em>, 10-1097. <span><a href=\"https:\/\/doi.org\/10.1097\/pec.0000000000003023\">10.1097\/PEC.0000000000003023<\/a><\/span><\/li>\n<li><strong>Carter, E. J<\/strong>., Shang, J<strong>, Baron, K<\/strong>., et al (2023). Perceived usefulness of a mnemonic to improve nurses\u2019 evaluation of reported penicillin allergies. Antimicrobial Stewardship &amp; Healthcare Epidemiology, 3(1), E124. <a href=\"https:\/\/doi.org\/10.1017\/ash.2023.177\">https:\/\/doi.org\/10.1017\/ash.2023.177<\/a><\/li>\n<li><strong>Carter, E. J<\/strong>., Shang, J., George, M., DeForge, C., Mackson, G., Palace, Z. J., &amp; Stone, P. (2023). Nursing home residents\u2019 experiences and perceptions of antibiotic use: A qualitative descriptive study.\u00a0<em>American Journal of Infection Control<\/em>,\u00a0<em>51<\/em>(2), 159-162.<a href=\"https:\/\/doi.org\/10.1016\/j.ajic.2022.06.002\"> https:\/\/doi.org\/10.1016\/j.ajic.2022.06.002<\/a><\/li>\n<li><strong>Carter EJ<\/strong>, Kaman K, Baron K, Miller M, Krol DM, Harpalani D, <strong>Aseltine RH<\/strong>, Pagoto S. (2023) Parent-reported penicillin allergies in children: A qualitative study. <em>Am J Infect Control.<\/em> Jan;51(1):56-61. Epub 2022 May 7. PMID: 35537563.\u00a0<a href=\"https:\/\/doi.org\/10.1016\/j.ajic.2022.04.008\"> https:\/\/doi.org\/10.1016\/j.ajic.2022.04.008<\/a><\/li>\n<li>Chen, J., Li, H., Zhao, T., <strong>Chen, K.<\/strong>, Chen, M. H., Sun, Z., ... &amp; Cong, X. S. (2023). The Impact of Early Life Experiences and Gut Microbiota on Neurobehavioral Development in Preterm Infants: A Longitudinal Cohort Study.\u00a0<em>Microorganisms<\/em>,\u00a0<em>11<\/em>(3), 814. <a href=\"https:\/\/doi.org\/10.3390\/microorganisms11030814\" class=\"broken_link\">https:\/\/doi.org\/10.3390\/microorganisms11030814<\/a><\/li>\n<li>Cheng G., Y. Lin, J. <strong>Yan, J.<\/strong> Zhao and L. Bai, (2023) \"Model-Measurement Data Integrity Attacks,\" in <em>IEEE Transactions on Smart Grid<\/em>, <a href=\"https:\/\/doi.org\/10.1109\/TSG.2023.3253781\">https:\/\/doi.org\/10.1109\/TSG.2023.3253781<\/a><\/li>\n<li>Chiou, S., Xu, G., <strong>Yan, J.<\/strong>, and Huang, C.-Y. (2023): Regression modeling for recurrent events possibly with an informative terminal event using R package reReg. <em>Journal of Statistical Software<\/em>. 105(1): 1\u201334.<a href=\"https:\/\/doi.org\/10.18637\/jss.v105.i05\">https:\/\/doi.org\/10.18637\/jss.v105.i05<\/a><\/li>\n<li>Cook NE, Gaudet CE, Kissingger-Knox, A, Liu C, <strong>Hunter, AA<\/strong>, et al. (2023). Race, ethnicity, and clinical outcome following sport-related concussion: a systematic review. <em>Frontiers in Neurology<\/em> 14() <a href=\"https:\/\/doi.org\/10.3389\/fneur.2023.1110539\">https:\/\/doi.org\/10.3389\/fneur.2023.1110539<\/a><\/li>\n<li>David AB, Park CL, <strong>Sacco SJ<\/strong>, et.al. (2023) Meaning in life as a mechanism between perceived posttraumatic growth and subsequent mental health in OEF\/OIF\/OND military veterans.\u00a0 <span><em>The Journal of Positive Psychology <\/em><\/span><a href=\"https:\/\/doi.org\/10.1080\/17439760.2023.2218342\">https:\/\/doi.org\/10.1080\/17439760.2023.2218342<\/a><\/li>\n<li>Dean, M., <strong>Kim, M. J.<\/strong>, Dimauro, S., Tannenbaum, S., Graham, G., Liang, B. T., &amp; Kim, A. S. (2023). Cardiac and noncardiac biomarkers in patients undergoing anthracycline chemotherapy\u2013a prospective analysis.\u00a0<em>Cardio-Oncology<\/em>,\u00a0<em>9<\/em>(1), 1-10. <a href=\"https:\/\/doi.org\/10.1186\/s40959-023-00174-1\">https:\/\/doi.org\/10.1186\/s40959-023-00174-1<\/a><\/li>\n<li>Dieckhaus, K. D., <strong>Kim, M. J.<\/strong>, Shen, J. B., et al. (2023). SARS-CoV-2 Antibody Dynamics in Healthcare Workers after mRNA Vaccination.\u00a0<em>Vaccines<\/em>,\u00a0<em>11<\/em>(2), 358. <a href=\"https:\/\/doi.org\/10.3390\/vaccines11020358\" class=\"broken_link\">https:\/\/doi.org\/10.3390\/vaccines11020358<\/a><\/li>\n<li>Dykes PC<span>,\u00a0<\/span>Curtin-Bowen M<span>,\u00a0<\/span>Lipsitz S, Franz, C, Adelman, J., Adkison, L., Bogaisky, M., Carroll, D., <strong>Carter E<\/strong>., et al. (2023). Cost of Inpatient Falls and Cost-Benefit Analysis of Implementation of an Evidence-Based Fall Prevention Program.\u00a0<em>JAMA Health Forum <\/em>4(1):e225125. <a href=\"https:\/\/doi.org\/10.1001\/jamahealthforum.2022.5125\">https:\/\/doi.org\/10.1001\/jamahealthforum.2022.5125<\/a><\/li>\n<li>Gernant, S. A., Nigro, S. C., Cruess, D. G., Smith, M., &amp; <strong>Rickles, N. M<\/strong>. (2023). Age, gender, and setting's effect on community pharmacists' stress and confidence in the COVID-19 pandemic.\u00a0<em>Exploratory Research in Clinical and Social Pharmacy<\/em>,\u00a0<em>9<\/em>, 100239. <a href=\"https:\/\/doi.org\/10.1016\/j.rcsop.2023.100239\">https:\/\/doi.org\/10.1016\/j.rcsop.2023.100239<\/a><\/li>\n<li><strong>Hunter, A. A.<\/strong>, Schwab-Reese, L., DiVietro, S., &amp; Green, C. (2023). An examination of factors contributing to the racial disparity and disproportionality of pediatric firearm-related homicide: a mixed-methods analysis using the national violent death reporting system (NVDRS).\u00a0<em>Injury Prevention<\/em>. <a href=\"http:\/\/dx.doi.org\/10.1136\/ip-2022-044733\">http:\/\/dx.doi.org\/10.1136\/ip-2022-044733<\/a><\/li>\n<li>Hunyong Cho, Yixiang Qu, Chuwen Liu, Boyang Tang, Ruiqi Lyu, Bridget M Lin, Jeffrey Roach, M Andrea Azcarate-Peril, Apoena Aguiar Ribeiro, Michael I Love, Kimon Divaris, Di Wu, Comprehensive evaluation of methods for differential expression analysis of metatranscriptomics data,\u00a0<em>Briefings in Bioinformatics<\/em>, Volume 24, Issue 5, September 2023, bbad279,<a href=\"https:\/\/doi.org\/10.1093\/bib\/bbad279\">\u00a0https:\/\/doi.org\/10.1093\/bib\/bbad279<\/a><\/li>\n<li><span>Kamolova M., Chen Y, Etuk,R., \u00a0<strong>Sacco SJ, <\/strong>Kraus SW<\/span>\u00a0<span>(2023).<\/span>\u00a0<span>Differences within: Hypersexuality, Sensation Seeking and Pornography Viewing Behaviors in a Sample of Heterosexual, Gay, Bisexual, and Uncertain Men,<\/span>\u00a0<span><em>Sexual Health &amp; Compulsivity,<\/em><\/span>\u00a0<span>30:1,<\/span>\u00a0<span>100-122,<\/span>\u00a0<a href=\"https:\/\/doi.org\/10.1080\/26929953.2022.2162652\">https:\/\/doi.org\/10.1080\/26929953.2022.2162652<\/a><\/li>\n<li><strong>Kim, M. J<\/strong>., <strong>Aseltine, R.,<\/strong> &amp; Tabtabai, S. (2023). Predicting 30-day Readmission In Patients With A Primary Versus Secondary Diagnosis Of Heart Failure.\u00a0<em>Journal of Cardiac Failure<\/em>,\u00a0<em>29<\/em>(4), 681. <a href=\"https:\/\/doi.org\/10.1016\/j.cardfail.2022.10.335\">https:\/\/doi.org\/10.1016\/j.cardfail.2022.10.335<\/a><\/li>\n<li><strong>Kim, M<\/strong>., <strong>Aseltine, R<\/strong>., &amp; Tabtabai, S. (2023). Readmission Patterns In Patients Admitted With Primary Or Secondary Diagnosis Of Heart Failure.\u00a0<em>Journal of Cardiac Failure<\/em>,\u00a0<em>29<\/em>(4), 682. <a href=\"https:\/\/doi.org\/10.1016\/j.cardfail.2022.10.337\">https:\/\/doi.org\/10.1016\/j.cardfail.2022.10.337<\/a><\/li>\n<li>Khullar, D., Zhang, Y., <strong>Zang, C<\/strong>., Zu C., <strong>Wang F<\/strong>.,\u00a0<em>et al.<\/em>\u00a0Racial\/Ethnic Disparities in Post-acute Sequelae of SARS-CoV-2 Infection in New York: an EHR-Based Cohort Study from the RECOVER Program.\u00a0<em>J GEN INTERN MED<\/em>\u00a0<strong>38<\/strong>, 1127\u20131136 (2023). <a href=\"https:\/\/doi.org\/10.1007\/s11606-022-07997-1\">https:\/\/doi.org\/10.1007\/s11606-022-07997-1<\/a><\/li>\n<\/ul>\n<ul>\n<li>Kronish IM<span>,\u00a0<\/span>Phillips E<span>,\u00a0<\/span>Alc\u00e1ntara C, <strong>Carter E<\/strong> et al. A Multifaceted Implementation Strategy to Increase Out-of-Office Blood Pressure Monitoring<span>:\u00a0The EMBRACE Cluster Randomized Clinical Trial<\/span>.\u00a0<em>JAMA Netw Open.<\/em>2023;6(9):e2334646. <a href=\"doi:10.1001\/jamanetworkopen.2023.34646\">doi:10.1001\/jamanetworkopen.2023.34646<\/a><\/li>\n<\/ul>\n<ul>\n<li>Lautier, JP., Pozdnyakov, V, <strong>Yan J<\/strong> (2023). Estimating a discrete distribution subject to random left-truncation with an application to structured finance. <em>Econometrics and Statistics,<\/em> available online June2, 2023.\u00a0 <a href=\"https:\/\/doi.org\/10.1016\/j.ecosta.2023.05.005\">https:\/\/doi.org\/10.1016\/j.ecosta.2023.05.005<\/a><\/li>\n<li>Lee JW, <strong>Harel, O.<\/strong> (2023). Incomplete clustering analysis via multiple imputation.\u00a0 <em>Journal of Applied Statistics, <\/em>\u00a050(9), 1962-1979. <a href=\"https:\/\/doi.org\/10.1080\/02664763.2022.2060952\">https:\/\/doi.org\/10.1080\/02664763.2022.2060952<\/a><\/li>\n<li>Li, G., Li, Y., <strong>Chen, K<\/strong>. (2023). It\u2019s all relative: Regression analysis with compositional predictors. <em>Biometric Methodology<\/em> 79(2)1318-1329. \u00a0<a href=\"https:\/\/doi.org\/10.1111\/biom.13703\">https:\/\/doi.org\/10.1111\/biom.13703<\/a><\/li>\n<li>Li, Y., <strong>Chen, K<\/strong>., <strong>Yan, J.<\/strong>, &amp; Zhang, X. (2023). Regularized fingerprinting in detection and attribution of climate change with weight matrix optimizing the efficiency in scaling factor estimation.\u00a0<em>The Annals of Applied Statistics<\/em>,\u00a0<em>17<\/em>(1), 225-239.<a href=\"https:\/\/doi.org\/10.1214\/22-AOAS1624\"> https:\/\/doi.org\/10.1214\/22-AOAS1624<\/a><\/li>\n<li>Londonono Tobon, L.,<strong> Condon, E<\/strong>., Slade, A., et al. (2023). Participation in an Attachment-Based Home Visiting Program Is Associated with Lower Child Salivary C-Reactive Protein Levels at Follow-Up.\u00a0 <em>Journal of Developmental &amp; Behavioral Pediatrics.<\/em> 44(4)e292-e299(8).\u00a0 <a href=\"https:\/\/doi.org\/10.1097\/DBP.0000000000001180\">https:\/\/doi.org\/10.1097\/DBP.0000000000001180<\/a><\/li>\n<li><span>Park CL, <strong>Sacco<\/strong> <strong>SJ<\/strong>, Kraus SW, Mazure CM, Hoff RA<\/span>\u00a0<span>(2023).<\/span>\u00a0<span>Demographic, deployment and post-deployment experiences predict trajectories of meaning in life in OEF\/OIF\/OND veterans,<\/span>\u00a0<span><em>The Journal of Positive Psychology,<\/em><\/span>\u00a0<span>18:1,<\/span>\u00a0<span>167-177 <\/span>\u00a0<a href=\"https:\/\/doi.org\/10.1080\/17439760.2021.1991452\">https:\/\/doi.org\/10.1080\/17439760.2021.1991452<\/a><\/li>\n<li>Park, C. L., Silverman, E. J., <strong>Sacco, S. J.<\/strong>, Kim, D., Hall, M., McMartin, J., Kapic,K., Shannonhouse, L. David, AB. &amp; Aten, J. (2023). When suffering contradicts belief: measuring theodical struggling. <em>Current Psychology<\/em>, 1-13. <a href=\"https:\/\/doi.org\/10.1007\/s12144-023-04642-w\">https:\/\/doi.org\/10.1007\/s12144-023-04642-w<\/a><\/li>\n<li>Rawat BPS, Reisman J, Pogoda TK, Liu W, Rongali S<strong>, Aseltine RH Jr<\/strong>, <strong>Chen K<\/strong>, Tsai J, Berlowitz D, Yu H, Carlson KF. Intentional Self-Harm Among US Veterans With Traumatic Brain Injury or Posttraumatic Stress Disorder: Retrospective Cohort Study From 2008 to 2017. JMIR Public Health Surveill. 2023 Jul 24;9:e42803. <a href=\"https:\/\/doi.org\/10.2196\/42803\">https:\/\/doi.org\/10.2196\/42803<\/a>. PMID: 37486751; PMCID: PMC10407646.<\/li>\n<\/ul>\n<ul><\/ul>\n<ul>\n<li><strong>Rickles, N. M<\/strong>., Mulrooney, M., Sobieraj, D., et al (2023). A systematic review of primary care-focused, self-reported medication adherence tools.\u00a0<em>Journal of the American Pharmacists Association<\/em>,\u00a0<em>63<\/em>(2), 477-490. <a href=\"https:\/\/doi.org\/10.1016\/j.japh.2022.09.007\">https:\/\/doi.org\/10.1016\/j.japh.2022.09.007<\/a><\/li>\n<li><strong>Rogers, Steven C. <\/strong>Youth Suicide is 100% Preventable: 4 Things Parents Need to Know <a href=\"https:\/\/www.connecticutchildrens.org\/behavioral-health\/youth-suicide-prevention-tips-parents\/\">CCMC Blog<\/a> 02\/25\/2023<\/li>\n<li><strong>Sacco, S. J<\/strong>., <strong>Chen, K.<\/strong>, <strong>Wang, F<\/strong>., &amp; <strong>Aseltine, R.<\/strong> (2023). Target-based fusion using social determinants of health to enhance suicide prediction with electronic health records.\u00a0<em>PLoS one<\/em>,\u00a0<em>18<\/em>(4), e0283595. <a href=\"https:\/\/doi.org\/10.1371\/journal.pone.0283595\">https:\/\/doi.org\/10.1371\/journal.pone.0283595<\/a><\/li>\n<li>Shannonhouse L., McMartin J., <strong>Sacco, SJ<\/strong>, et al. (2023) \u00a0\u00a0M Hall, CL Park, D Kim, Measurement of an emic Christian religious coping strategy.\u00a0<em>Spirituality in Clinical Practice.<\/em>\u00a0<span> The Journal of Positive Psychology, <\/span>Advance online publication. <a href=\"https:\/\/doi.org\/10.1080\/17439760.2023.2218342\">https:\/\/doi.org\/10.1080\/17439760.2023.2218342<\/a><\/li>\n<\/ul>\n<ul>\n<li><span> <\/span>Stockton, B., Strange, C.C. &amp; <strong>Harel, O<\/strong>. Now You See It, Now You Don\u2019t: A Simulation and Illustration of the Importance of Treating Incomplete Data in Estimating Race Effects in Sentencing. J Quant Criminol (2023). <a href=\"https:\/\/doi.org\/10.1007\/s10940-023-09577-w\">https:\/\/doi.org\/10.1007\/s10940-023-09577-w<\/a><\/li>\n<\/ul>\n<ul>\n<li>Swan, S., <strong>Hunter, A.<\/strong>, Nowobilski, M., Knod, J., &amp; Smith, S. (2022). Rates of Firearm-related Injuries in Children during COVID. (2022) \u00a0<em>J. Investigative Medicine<\/em>,\u00a0<em>70<\/em>(4), 1068-1069, Abstract#107. <a href=\"https:\/\/jim.bmj.com\/content\/70\/4\/977\">https:\/\/jim.bmj.com\/content\/70\/4\/977<\/a><\/li>\n<li><strong>Wang, F<\/strong>., Wang, H., &amp;<strong> Yan, J.<\/strong> (2023). Diagnostic Tests for the Necessity of Weight in Regression With Survey Data.\u00a0<em>International Statistical Review<\/em>,\u00a0<em>91<\/em>(1), 55-71. <a href=\"https:\/\/doi.org\/10.1111\/insr.12509\">https:\/\/doi.org\/10.1111\/insr.12509<\/a><\/li>\n<li><strong>Wang W<\/strong>., Luo, C., <strong>Aseltine, R.H., Wang F., Yan J., Chen, K<\/strong> (2023)\u00a0Survival Modeling of Suicide Risk with Rare and Uncertain Diagnoses.\u00a0<em>Stat Biosci<\/em>\u00a0(2023). <a href=\"https:\/\/doi.org\/10.1007\/s12561-023-09374-w\">https:\/\/doi.org\/10.1007\/s12561-023-09374-w<\/a><\/li>\n<li>Xu, J., Wang, F., <strong>Zang, C<\/strong>.\u00a0<em>et al.<\/em>\u00a0Comparing the effects of four common drug classes on the progression of mild cognitive impairment to dementia using electronic health records.\u00a0<em>Sci Rep<\/em>\u00a0<strong>13<\/strong>, 8102 (2023). <a href=\"https:\/\/doi.org\/10.1038\/s41598-023-35258-6\">https:\/\/doi.org\/10.1038\/s41598-023-35258-6<\/a><\/li>\n<li><strong>Zang C., Hou Y., Jin J., Sacco S, Chen K., Aseltine R., Wang F<\/strong>. (2023). Accuracy and generalizability of machine learning models for adolescent suicide prediction with longitudinal clinical records. PREPRINT <a href=\"https:\/\/assets.researchsquare.com\/files\/rs-2790491\/v1\/df60c471-6f8f-4e53-8d32-7a18c55db976.pdf?c=1686929251\" class=\"broken_link\">https:\/\/doi.o<\/a><a href=\"https:\/\/assets.researchsquare.com\/files\/rs-2790491\/v1\/df60c471-6f8f-4e53-8d32-7a18c55db976.pdf?c=1686929251\" class=\"broken_link\">rg\/10.2suevu1203\/rs.3.rs-2790491\/v1<\/a><\/li>\n<\/ul>\n<ul>\n<li><strong>Zang, C.<\/strong>, Pan, W., &amp; Wang, F. (2023, August). Mining Electronic Health Records for Real-World Evidence. In\u00a0<em>Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining<\/em>(pp. 5837-5838).<\/li>\n<\/ul>\n<ul>\n<li><strong>Zang, C.,<\/strong> Zhang, Y., Xu, J.\u00a0<em>et al.<\/em>\u00a0Data-driven analysis to understand long COVID using electronic health records from the RECOVER initiative.\u00a0<em>Nat Commun<\/em>\u00a0<strong>14<\/strong>, 1948 (2023). <a href=\"https:\/\/doi.org\/10.1038\/s41467-023-37653-z\">https:\/\/doi.org\/10.1038\/s41467-023-37653-z<\/a><\/li>\n<li>Zhang, H., <strong>Zang, C.,<\/strong> Xu, Z.\u00a0<em>et al.<\/em>\u00a0Data-driven identification of post-acute SARS-CoV-2 infection subphenotypes.\u00a0<em>Nat Med<\/em>\u00a0<strong>29<\/strong>, 226\u2013235 (2023). <a href=\"https:\/\/doi.org\/10.1038\/s41591-022-02116-3\">https:\/\/doi.org\/10.1038\/s41591-022-02116-3<\/a><\/li>\n<li>Zhang Y., Hu H., Fokaidis V., Lewis C, Jie Xu V, <strong>Zang C, <\/strong>Xu Z., <strong>Wang F<\/strong>., et al (2023). Identifying environmental risk factors for post-acute sequelae of SARS-CoV-2 infection: An EHR-based cohort study from the recover program, 11 <a href=\"https:\/\/doi.org\/10.1016\/j.envadv.2023.100352\">https:\/\/doi.org\/10.1016\/j.envadv.2023.100352<\/a><\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"<p>Allotey, PA; Harel, O. Modeling geostatistical incomplete spatially correlated survival data with applications to COVID-19 mortality in Ghana (2023) Spatial Statistics 54:100730, Elsevier https:\/\/doi.org\/10.1016\/j.spasta.2023.100730 Allotey, P., Harel, O. Bayesian Spatial Modeling of Incomplete Data with Application to HIV Prevalence in Ghana.\u00a0Sankhya B(2023). https:\/\/doi.org\/10.1007\/s13571-023-00308-6 Carter, E. J., Zavez, K., Rogers, S. C., deMayo, R., Harel, O., [&hellip;]<\/p>\n","protected":false},"author":1235,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"acf":[],"publishpress_future_action":{"enabled":false,"date":"2026-04-22 20:01:25","action":"change-status","newStatus":"draft","terms":[],"taxonomy":""},"_links":{"self":[{"href":"https:\/\/health.uconn.edu\/population-health\/wp-json\/wp\/v2\/pages\/5241"}],"collection":[{"href":"https:\/\/health.uconn.edu\/population-health\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/health.uconn.edu\/population-health\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/health.uconn.edu\/population-health\/wp-json\/wp\/v2\/users\/1235"}],"replies":[{"embeddable":true,"href":"https:\/\/health.uconn.edu\/population-health\/wp-json\/wp\/v2\/comments?post=5241"}],"version-history":[{"count":22,"href":"https:\/\/health.uconn.edu\/population-health\/wp-json\/wp\/v2\/pages\/5241\/revisions"}],"predecessor-version":[{"id":6194,"href":"https:\/\/health.uconn.edu\/population-health\/wp-json\/wp\/v2\/pages\/5241\/revisions\/6194"}],"wp:attachment":[{"href":"https:\/\/health.uconn.edu\/population-health\/wp-json\/wp\/v2\/media?parent=5241"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}