Predicting the incidence of infectious diarrhea with symptom surveillance data using a stacking-based ensembled model.

"Declarations Ethics approval and consent to participateThis study did not involve any human trials. All methods were in accordance with relevant guidelines and regulation. All experimental protocols were approved by Guangzhou center for disease control and prevention. The use of influenza data was permitted by Guangzhou center for disease control and prevention. The need of informed consent was deemed unnecessary by the Ethics Review Committee of Guangzhou center for disease control and prevention, because the data used in this study was anonymized and did not contain personal and health information that could be connected back to the original identifiers. The study was approved by the Ethics Review Committee of Guangzhou center for disease control and prevention. Consent for publicationNot applicable. Competing interestsThe authors have no relevant financial or non-financial interests to disclose. Competing interests The authors have no relevant financial or non-financial interests to disclose."

"Funding This work was supported by National Natural Science Foundation of China (81973150), National Natural Science Foundation of China (82103947) and Science and Technology Program of Guangzhou, China (202206080003). Professor Yuantao Hao gratefully acknowledges the support of K.C. Wong Education Foundation."