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Based on the Takagi\u2013Sugeno (T\u2013S) fuzzy model, the original nonlinear system is approximated as a fuzzy LPV-PDE system. To reduce the number of sensors, pointwise measurements are introduced, based on which a spatiotemporal event-triggered mechanism is employed to alleviate the communication burden. Furthermore, a disturbance observer is developed to estimate the unknown disturbances modeled by an exogenous system. A fuzzy anti-disturbance point controller is then designed by combining the observer output with traditional state feedback. Sufficient conditions for the fuzzy LPV-PDE system to be exponentially stable are given by constructing a Lyapunov\u2013Krasovskii functional (LKF). Finally, a numerical example is presented to demonstrate the effectiveness of the proposed strategy.<\/jats:p>","DOI":"10.1177\/09596518261416995","type":"journal-article","created":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T02:23:03Z","timestamp":1771813383000},"page":"867-880","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Spatiotemporal event-triggered anti-disturbance control for Markov jump LPV-PDE systems via disturbance observer"],"prefix":"10.1177","volume":"240","author":[{"given":"Ao","family":"Shang","sequence":"first","affiliation":[{"name":"School of Information Engineering, Henan University of Science and Technology, Luoyang, P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yulong","family":"Song","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Henan University of Science and Technology, Luoyang, P.R. 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