{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Liu W"],"funding":["National Natural Science Foundation of China","Ningxia Key Research and Development Project"],"pagination":["1089"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10242608"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["23(1)"],"pubmed_abstract":["<h4>Background</h4>Various nonpharmaceutical interventions (NPIs) against COVID-19 continue to have an impact on socioeconomic and population behaviour patterns. However, the effect of NPIs on notifiable infectious diseases remains inconclusive due to the variability of the disease spectrum, high-incidence endemic diseases and environmental factors across different geographical regions. Thus, it is of public health interest to explore the influence of NPIs on notifiable infectious diseases in Yinchuan, Northwest China.<h4>Methods</h4>Based on data on notifiable infectious diseases (NIDs), air pollutants, meteorological data, and the number of health institutional personnel in Yinchuan, we first fitted dynamic regression time series models to the incidence of NIDs from 2013 to 2019 and then"],"journal":["BMC public health"],"pubmed_title":["The indirect impacts of nonpharmacological COVID-19 control measures on other infectious diseases in Yinchuan, Northwest China: a time series study."],"pmcid":["PMC10242608"],"funding_grant_id":["12061058","2021BEG02026"],"pubmed_authors":["Li Y","Zhao S","Wang R","Chen Y","Zhao Y","Liu W"],"additional_accession":[]},"is_claimable":false,"name":"The indirect impacts of nonpharmacological COVID-19 control measures on other infectious diseases in Yinchuan, Northwest China: a time series study.","description":"<h4>Background</h4>Various nonpharmaceutical interventions (NPIs) against COVID-19 continue to have an impact on socioeconomic and population behaviour patterns. However, the effect of NPIs on notifiable infectious diseases remains inconclusive due to the variability of the disease spectrum, high-incidence endemic diseases and environmental factors across different geographical regions. Thus, it is of public health interest to explore the influence of NPIs on notifiable infectious diseases in Yinchuan, Northwest China.<h4>Methods</h4>Based on data on notifiable infectious diseases (NIDs), air pollutants, meteorological data, and the number of health institutional personnel in Yinchuan, we first fitted dynamic regression time series models to the incidence of NIDs from 2013 to 2019 and then","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Jun","modification":"2025-04-19T07:21:15.513Z","creation":"2025-04-19T07:21:15.513Z"},"accession":"S-EPMC10242608","cross_references":{"pubmed":["37280569"],"doi":["10.1186/s12889-023-15878-3"]}}