An epidemic situation trend prediction method and apparatus, and an electronic device and a storage medium, which are applied to the field of medical science and technology. The electronic device comprises a processor and a memory, wherein the memory is used for storing a computer program, the computer program comprises a program instruction, and the processor is configured to call the program instruction to execute the following steps: acquiring epidemic situation sequence data of a target area (S101); constructing, according to the epidemic situation sequence data, a target feature matrix corresponding to the epidemic situation sequence data (S102); and calling a pretrained time sequence model to carry out epidemic situation trend prediction according to the target feature matrix, so as to obtain a first epidemic situation trend prediction result, wherein the first epidemic situation trend prediction result comprises a predicted number of newly added cases and/or a predicted number of newly added deaths for each date within a second preset date range (S103). Epidemic situation trend prediction is carried out in view of multi-dimensional features, which has higher reference value. Blockchain technology is involved, and a first epidemic situation trend prediction result can be written into a blockchain.
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