{"id":123,"date":"2022-05-03T10:15:37","date_gmt":"2022-05-03T14:15:37","guid":{"rendered":"https:\/\/systems.jhu.edu\/gonzalo\/?page_id=123"},"modified":"2025-09-12T13:58:35","modified_gmt":"2025-09-12T17:58:35","slug":"publications","status":"publish","type":"page","link":"https:\/\/systems.jhu.edu\/gonzalo\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"\n<h3 class=\"wp-block-heading\"><strong>Publications<\/strong><\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">Journal Papers<\/h4>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Pita, G., Michati, F. and Xu, S. (2025). Building condition assessment methodology to support public finance and disaster risk management. <a href=\"https:\/\/doi.org\/10.1016\/j.ress.2025.111641\"><em>Reliability Engineering &amp; System Safety<\/em>, 111641<\/a>.<\/li>\n\n\n\n<li>Pita. G. (2023). Expert-opinion depth-damage functions: what\u2019s the variability introduced by the survey setup? <a href=\"https:\/\/doi.org\/10.1016\/j.ijdrr.2023.104077\"><em>Int&#8217;l Journal of Disaster Risk reduction.<\/em> Vol. 98, 104077<\/a>.<\/li>\n\n\n\n<li>Pita, G. (2022). Foundation and Development of Natural Catastrophe Risk Modeling. <a href=\"https:\/\/doi.org\/10.1061\/(ASCE)NH.1527-6996.0000567\"><em>Natural Hazards Review. <\/em>Vol. 23, No. 4.<\/a><\/li>\n\n\n\n<li>Pita, G., Albornoz, B., Zaracho, J. (2021). Derivation of Flood Depth-Damage and Fragility Functions with Structured Expert Judgment. <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0022169421010325\"><em>J. of Hydrology, 603, B, 126982<\/em>.<\/a><\/li>\n\n\n\n<li>Silva, A., Pereira, E., Pita, G., Siqueira, G., Vieira, L. (2021). Damage assessment of RC Buildings subjected to Induced Seismicity in Brazil. <a href=\"https:\/\/doi.org\/10.1016\/j.engstruct.2021.111904\"><em>Engineering Structures. 234, 111904<\/em><\/a><\/li>\n\n\n\n<li>Silva, A., Pita, G., J. Inaudi, L. Vieira (2020). Probabilistic Loss Assessment of Induced Seismicity in Manaus, Brazil. <a href=\"https:\/\/journals.sagepub.com\/doi\/10.1177\/8755293020944178\"><em>Earthquake Spectra, 37, 1, 180-203<\/em><\/a>.<\/li>\n\n\n\n<li>Pita, G., Pinelli, J.-P., Gurley, K., Weekes, J., Cocke, S. (2016). Hurricane Vulnerability Model for Mid\/High-Rise Residential Buildings. <a href=\"http:\/\/koreascience.or.kr\/article\/JAKO201634347320629.page\"><em>Wind &amp; Structures, vol. 23, No. 5, 449-464<\/em><\/a>.<\/li>\n\n\n\n<li>Pita, G. &amp; M.L.A. de Schwarzkopf (2016). Urban Downburst Vulnerability and Damage Assessment from a Case Study in Argentina. <a href=\"https:\/\/link.springer.com\/article\/10.1007\/s11069-016-2323-z\"><em>Natural Hazards.<\/em> 83(1), 445-463.<\/a><\/li>\n\n\n\n<li>Pita, G., Pinelli, J.-P., K. Gurley, J. Mitrani-Reiser (2015). State of the Art of Hurricane Vulnerability Estimation Methods: A Review. <a href=\"https:\/\/ascelibrary.org\/doi\/10.1061\/%28ASCE%29NH.1527-6996.0000153\"><em>Natural Hazards Review 16(2), 04014022<\/em>.<\/a><\/li>\n\n\n\n<li>Pita, G., Pinelli, J.-P., K. Gurley (2013). Hurricane Vulnerability Modeling: Development and Future Trends. <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0167610512002851?via%3Dihub\"><em>J. Wind Eng. &amp; Ind. Aerod, (114), 96-105<\/em>.<\/a><\/li>\n\n\n\n<li>Pita, G. Pinelli, J.-P., S. Cocke, K. Gurley, J. Mitrani-Reiser, J. Weekes (2011). Assessment of Hurricane Induced Internal Damage to Low-rise buildings in the Florida Public Hurricane Loss Model. <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0167610512000803?via%3Dihub\"><em>J. Wind Eng. &amp; Ind. Aerod (104-106) 76-87.<\/em><\/a><\/li>\n\n\n\n<li>Pinelli, J.-P., Pita, G., K. Gurley, B. Torkian, C. Subramanian (2010). Damage Characterization: Application to Florida Public Hurricane Loss Model. <a href=\"https:\/\/ascelibrary.org\/doi\/10.1061\/%28ASCE%29NH.1527-6996.0000051\"><em>Natural Hazards Review 12(4), 190-195.<\/em><\/a><\/li>\n\n\n\n<li>Pinelli, J.-P., K.R. Gurley, C.S. Subramanian, S.S. Hamid, Pita, G. (2008). Validation of a probabilistic model for hurricane insurance loss projections in Florida. <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0951832008001129?via%3Dihub\"><em>Reliability Engineering &amp; System Safety, 93(13), 1896-1905<\/em>.<\/a><\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">In the News<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/hub.jhu.edu\/2023\/11\/27\/better-flood-damage-forecasting\/\">Making Waves With Better Flood Damage Forecasting<\/a>; <a href=\"https:\/\/www.preventionweb.net\/news\/making-waves-better-flood-damage-forecasting\">PreventionWeb<\/a>; <a href=\"https:\/\/www.futurity.org\/river-flood-damage-natural-disasters-3003992\/\">Futurity.org<\/a>. Nov\/2023.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.nbcnews.com\/science\/science-news\/wildfires-hurricanes-heat-extreme-weather-bombards-us-rcna100950\"><em>NBC News<\/em> &#8211; Wildfires, hurricanes and heat: The US is getting hit by extremes from all sides<\/a>. 08\/22\/2023.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.theverge.com\/2023\/8\/22\/23840516\/weather-disaster-new-location-climate-change\"><em>The Verge<\/em> &#8211; Climate change is redrawing the disaster map.<\/a> 2023, Aug 22.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.theverge.com\/2023\/8\/21\/23839976\/california-tropical-storms-hurricane-hilary-climate-change\"><em>The Verge<\/em> &#8211; Should California expect more tropical storms like Hurricane Hilary?<\/a> 2023, Aug 21.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.washingtonpost.com\/weather\/2022\/03\/02\/hurricane-wind-surge-simulator-facility\/\"><em>Washington Post<\/em> &#8211; Florida university to design \u2018Category 6\u2019 hurricane wind and surge simulator<\/a>. 2022, March 2.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.wbaltv.com\/article\/2022-hurricane-season-starts-maryland-should-prepare\/40165528\"><em>WBAL-TV 11 Baltimore<\/em> &#8211; Marylanders need to prepare for active hurricane season, potential flooding<\/a>. 2022, June 1.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Working Papers<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Development of a storm catalog and gust return periods for Anguilla simulating the wind fields of historical storms with incomplete information.<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Conference Papers<\/h4>\n\n\n\n<ol class=\"wp-block-list\">\n<li><a href=\"https:\/\/systems.jhu.edu\/gonzalo\/wp-content\/uploads\/2022\/07\/Pita_et_al_SanJuan_ICONHIC_ID_388.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">Pita, G., Pereira, E. Margonari, A., Silva, A., Siqueira, G. Vieira, L., Costa, C. (2022) Study of the effect of recent and future earthquakes on the current building inventory of San Juan, Argentina. ICONHIC 2022<\/a>.<\/li>\n\n\n\n<li>Silva, A., Pita, G., Inaudi, J., Vieira, L. (2019), A risk assessment framework for induced seismicity in Manaus, Brazil. 2nd International Conference on Natural Hazards &amp; Infrastructure, 23 \u2013 26 June 2019, Chania, Greece.<\/li>\n\n\n\n<li>Silva, A. Pita, G. Fl\u00f3rez-Lopez, J., Siqueira, G. Santos, T., Coelho, K. Pic\u00f3n, R. Vieira, L. (2018) Study of Reinforced Concrete Structures Subjected to Induced Seismicity using Lumped Damage Mechanics Modeling. CILAMCE 2018<\/li>\n\n\n\n<li>Albornoz, B., Pita, G., Natalini, B. (2017) Flood Risk Analysis in an Underserved area of Chaco, Argentina and Identification of Mitigation Strategies. Disaster Risk Reduction Summit, GFP\/Hydro-Met sessions. Buenos Aires. NASA-CoNAE.<\/li>\n\n\n\n<li>Kappes, M., Joseph, M., Martinez, J., Pita, G. (2015) Information-Based Prioritization of Vulnerability Reduction Investments for Hurricane Shelters in the Commonwealth of Dominica. 9th Caribbean Conference on Comprehensive Disaster Management. Bahamas.<\/li>\n\n\n\n<li>Pita, G., R. Gunasekera, O. Ishizawa (2015), Windstorm Hazard Model for Disaster Risk Assessment in Central America. Proc. of the 14th International Conference on Wind Engineering. Porto Alegre, Brazil.<\/li>\n\n\n\n<li>Ishizawa, O., Gunasekera, R., Pita, G. (2015) Development of Country Disaster Risk Profiles for Central America: Towards a General Methodology to Assess Disaster Risk at the National Level. Proc. of the SECED 2015 Conference. Cambridge University, UK.<\/li>\n\n\n\n<li>Pita, G., J. Inaudi, R. Gunasekera, O. Ishizawa (2015), Probabilistic Seismic Vulnerability Development Tool for Common Building Typologies in Central America. Proc. of the SECED 2015 Conference. Cambridge University, UK.<\/li>\n\n\n\n<li>R. Gunasekera, O. Ishizawa, C. Aubrecht, Pita, G., A. Pomonis, K. Fane, S. Murray, B. Blankespoor, I. Scott (2014) Developing an Adaptive Exposure Model to Support the Generation of Country Disaster Risk Profiles. Vol. 16, EGU2014-16168. European Geosciences Union General Assembly 2014. Vienna. Austria.<\/li>\n\n\n\n<li>Pinelli, J.-P., T. Johnson, A. Chowdhury, T. Baheru, K. Gurley, J. Weekes, Pita, G. (2014) Prediccion del Da\u00f1o Interior Causado por Lluvia en Edificios de Vivienda durante Huracanes. XXXVI Jornadas Sudamericanas de Ingenieria Estructural. Montevideo, Uruguay.<\/li>\n\n\n\n<li>Pita, G., J. Mitrani-Reiser (2013), Modeling Hurricane-Induced Building Downtime. Proc. 12th Americas Conference on Wind Engineering (12ACWE)<\/li>\n\n\n\n<li>Pita, G., Pinelli, J.-P. (2013), Analytical Model for Low-Rise Buildings&#8217; Vulnerability Curves. Proc. 12th Americas Conference on Wind Engineering (12ACWE).<\/li>\n\n\n\n<li>Pinelli, J.-P., K. Gurley, J. Weekes, Pita, G., T. Johnson, S. Cocke, and S. Hamid (2013), Vulnerability Model for Mid\/High-Rise Buildings Subjected to Hurricane Winds and Rain. 12th Americas Conference on Wind Engineering (12ACWE).<\/li>\n\n\n\n<li>Pinelli, J.-P., K. Gurley, Pita, G., T. Johnson, J. Weekes (2013), \u201cModeling the vulnerability of mid\/high rise commercial residential buildings to wind and rain in tropical cyclones,\u201d Proceedings, 11th International Conference on Structural Safety &amp; Reliability (ICOSSAR13), June 16-20, 2013, Columbia University New York, NY.<\/li>\n\n\n\n<li>Pita, G., Pinelli, J.-P., J. Mitrani-Reiser, S. Cocke, K. Gurley, (2012). Analysis of Hurricane Andrew Insurance Claim Data for Residential Buildings. ATC-SEI Advances in Hurricane Engineering: Learning from Our Past, Miami, FL. pp. 1047-1055.<\/li>\n\n\n\n<li>Pinelli, J.-P., K. Gurley, Pita, G., T. Johnson, (2012). Life-cycle assessment of personal residential roof decking and cover under hurricane threat. ATC-SEI Advances in Hurricane Engineering Conference, Miami, FL.<\/li>\n\n\n\n<li>Pita, G., J-.P. Pinelli, K. Gurley, S. Cocke, J. Weekes, S. Hamid, (2012). Probabilistic Hurricane Rain Model for the Evaluation of Mid\/High-Rise Buildings Damage due to Water Penetration. ESREL 2012. Finland.<\/li>\n\n\n\n<li>Z. Liu, J. Mitrani-Reiser, S. Guikema, R. Francis, G. Pita, Pinelli, J.-P. (2011). Imputation Models for Use in Hurricane Building-Risk Analysis. SRA Annual Meeting, Salt Lake City, UT.<\/li>\n\n\n\n<li>Pita, G. Pinelli, J.-P., S. Cocke, K. Gurley, J. Weekes, J. Mitrani-Reiser (2011). Assessment of hurricane induced internal damage to low-rise buildings in the Florida Public Hurricane Loss Model. Proc. of the 13th Int&#8217;l Conf. on Wind Engineering (13ICWE). Amsterdam, Netherlands.<\/li>\n\n\n\n<li>B. Torkian, T. Johnson, Pita, G., Pinelli, J.-P., (2011). Criteria for Selection of Wind Vulnerability Matrices for Single-Family Buildings. Proc. of the 13th Int&#8217;l Conf. on Wind Engineering (13ICWE). Amsterdam, Netherlands.<\/li>\n\n\n\n<li>Pinelli, J.-P., Pita, G., K. Gurley, S. Hamid, (2011). Management of Hurricane Risk in Florida. Proc. ESREL 2011. Troyez, France.<\/li>\n\n\n\n<li>Pita, G., Pinelli, J.-P., (2011). Analytical Method for Low Rise Building Vulnerability Curves. ESREL 2011, Troyez, France.<\/li>\n\n\n\n<li>Pita, G.\u2014R. Francis, Z. Liu, J. Mitrani-Reiser, S. Guikema, Pinelli, J.-P., (2011), Bayesian Belief Networks for Predicting Input Data of Risk Analysis Models, Proc. International Congress on Vulnerability and Risk Analysis Management (ICVRAM&#8217;11) 468-476. College Park, MD.<\/li>\n\n\n\n<li>Pita, G., Pinelli, J.-P., (2011). Wind Vulnerability Curves Assessment in the Florida Public Hurricane Loss Model, Proc. International Congress on Vulnerability and Risk Analysis Management (ICVRAM&#8217;11) 618-625. College Park, MD<\/li>\n\n\n\n<li>Pita, G., Pinelli, J.-P., K. Gurley, J. Weekes, T. Johnson, S. Hamid (2011). Challenges in Developing the Florida Public Hurricane Loss Model for Residential and Commercial-Residential structures, ICASP11.<\/li>\n\n\n\n<li>Pinelli, J.-P., Pita, G., B.Torkian, T. Johnson, K.Gurley, S.Hamid (2011). Parameter Identification in a Catastrophe Model: the Case of the Florida Public Model, 2011 Structures Congress.<\/li>\n\n\n\n<li>Pinelli, J.-P., K. Gurley, Pita, G., (2010). Hurricane Risk Management in Florida, Australasian Wind Engineering Society, (14&#8217;AWES). Canberra, Australia.<\/li>\n\n\n\n<li>Pinelli, J.-P., K. Gurley, Pita, G., (2010). Hurricane Vulnerability Assessment: Latest Experience and Development in the Florida Public Hurricane Loss Model, IDRiM&#8217;10. Vienna. Austria<\/li>\n\n\n\n<li>Pinelli, J.-P., Pita, G., K.Gurley, C. Subramanian, S.Hamid, (2010). Commercial-Residential Buildings&#8217; Vulnerability Component of the Florida Public Hurricane Loss Model, SC-NASCC Conference 2010<\/li>\n\n\n\n<li>Pinelli, J.-P. , S. Hamid , K. Gurley , Pita, G., (2009). Florida Public Hurricane Loss Model: Vulnerability Modeling, Loss Prediction, and Certification Process, 2nd Int&#8217;l Conference on Asian Catastrophe Insurance, Beijing, China December, 2009<\/li>\n\n\n\n<li>Pita, G., Pinelli, J.-P., J. Mitrani-Reiser, K.Gurley, S.Hamid, N. Jones (2009). Risk analysis of Buildings with the Florida Public Hurricane Loss Model, Society of Risk Analysis Annual Meeting, Baltimore, December 2009.<\/li>\n\n\n\n<li>Pita, G., Pinelli, J.-P., K.Gurley, J. Weekes, S.Hamid (2009). Vulnerability of mid-high rise commercial-residential buildings in the Florida Public Hurricane Loss Model, ESREL 2009. Prague. Czech Republic.<\/li>\n\n\n\n<li>Pita, G., Pinelli, J.-P., K.Gurley, C. Subramanian, S.Hamid (2009). Vulnerability of low-rise commercial-residential buildings in the Florida Public Hurricane Loss Model, 11th American Conference of Wind Engineering, Puerto Rico.<\/li>\n\n\n\n<li>J. Weekes, A. Balderrama, K. Gurley, Pinelli, J.-P., Pita, G., S. Hamid (2009). Physical Damage Modeling of Commercial-Residential Structures in Hurricane Winds, 11th American Conference of Wind Engineering, Puerto Rico.<\/li>\n\n\n\n<li>Pita, G., Pinelli, J.-P., C.S. Subramanian, K. Gurley, S.Hamid, (2008). Hurricane Vulnerability of Multi-Story Residential Buildings in Florida, ESREL 2008, Valencia, Spain.<\/li>\n\n\n\n<li>Pinelli, J.-P., S. Hamid, K. R. Gurley, Pita, G., C.S. Subramanian (2008). Impact of the 2004 Hurricane Season on the Florida Public Hurricane Loss Model, 2008 ASCE-IABSE-IStructE Structures Congress, Vancouver, Canada.<\/li>\n\n\n\n<li>Pita, G., A. Lainati, and J.R. Saravia, (2004). Design Topics for a Restricted Horizontal Force Arch Bridge, Steelbridge 2004, Int&#8217;l Symposium on Steel Bridges, Millau, France.<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Posters and Other publications<\/h4>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Albornoz, B., Pita, G., Natalini, B. (2018) Flood Risk Analysis in an Underserved area of Chaco, Argentina and Identification of Mitigation Strategies. Advanced School on Water, Energy, and Food &#8211; NEXUS. Poster presentation.<\/li>\n\n\n\n<li>O. Ishizawa, J. Rivera, J. Miranda, J. Suarez, L. Jimenez, M. Boyer, Pita, G. (2015) Weathering Storms: Understanding the Impact of Natural Disasters on the Poor in Central America. .Regional Study Workshop Aggregated Shocks, Poverty and ex-ante Risk Management in Latin America and the Caribbean. The World Bank. Washington, DC. Aug. 31, 2015.<\/li>\n\n\n\n<li>J. Mitrani-Reiser, Pita, G., Pinelli, J.-P., K. Gurley, J. Weekes, (2011). Development of Hurricane Damage Models for Residential Buildings, 2011 NSF Engineering Research and Innovation Conference, Atlanta, GA.<\/li>\n\n\n\n<li>Baheru, T., Pita, G., Chowdhury, A., and Pinelli, J.-P. (2012) Hurricane-Induced Interior Damage to Low-Rise Buildings: A Status Report of Ongoing Research at Florida International University. 3rd American Association for Wind Engineering Workshop. Hyannis, MA. August 12 &#8211; 14, 2012.<\/li>\n\n\n\n<li>Pita, G., Pinelli, J.-P., J. Mitrani-Reiser, K. Gurley, J. Weekes (2010). Latest Improvements in the Florida Public Hurricane Loss Model, AAWE Workshop 2010. Marco Island. FL.<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Exhibits<\/h4>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Gonzalo Pita, the Sheridan Libraries, and the NIST Museum. 2020. Landmarks in the History of Natural Catastrophe Modeling: An exhibit from Johns Hopkins University and the NIST Museum. Gaithersburg, MD: National Institute of Standards and Technology. <a href=\"https:\/\/www.nist.gov\/nist-museum\/landmarks-history-natural-catastrophe-modeling\">https:\/\/www.nist.gov\/nist-museum\/landmarks-history-natural-catastrophe-modeling<\/a><\/li>\n\n\n\n<li>Gonzalo Pita, the Sheridan Libraries. 2019. Landmarks in the History of Natural Catastrophe Modeling. Eisenhower Library. JHU. <a href=\"https:\/\/engineering.jhu.edu\/case\/2019\/10\/11\/now-showing-landmarks-in-the-history-of-natural-catastrophe-modeling\">https:\/\/engineering.jhu.edu\/case\/2019\/10\/11\/now-showing-landmarks-in-the-history-of-natural-catastrophe-modeling<\/a><\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Publications Journal Papers In the News Working Papers Conference Papers Posters and Other publications Exhibits<\/p>\n","protected":false},"author":5,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-123","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/systems.jhu.edu\/gonzalo\/wp-json\/wp\/v2\/pages\/123","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/systems.jhu.edu\/gonzalo\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/systems.jhu.edu\/gonzalo\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/systems.jhu.edu\/gonzalo\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/systems.jhu.edu\/gonzalo\/wp-json\/wp\/v2\/comments?post=123"}],"version-history":[{"count":17,"href":"https:\/\/systems.jhu.edu\/gonzalo\/wp-json\/wp\/v2\/pages\/123\/revisions"}],"predecessor-version":[{"id":758,"href":"https:\/\/systems.jhu.edu\/gonzalo\/wp-json\/wp\/v2\/pages\/123\/revisions\/758"}],"wp:attachment":[{"href":"https:\/\/systems.jhu.edu\/gonzalo\/wp-json\/wp\/v2\/media?parent=123"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}