Correlation between mumps and meteorological factors in Xiamen City, China: A modelling study
Tài liệu tham khảo
Chen, 2020, A mathematical model for simulating the phase-based transmissibility of a novel coronavirus, Infectious Diseases of Poverty, 9, 24, 10.1186/s40249-020-00640-3
Chernov, 2020, Optimal vaccine allocation during the mumps outbreak in two SIR centres, Mathematical Medicine and Biology: A Journal of the IMA, 37, 303, 10.1093/imammb/dqz012
Court, 2006, Law of the People's Republic of China on the prevention and control of infectious diseases, Chinese Law and Government, 39, 12, 10.2753/CLG0009-4609390201
Czumbel, 2018, Management and control of communicable diseases in schools and other child care settings: Systematic review on the incubation period and period of infectiousness, BMC Infectious Diseases, 18, 199, 10.1186/s12879-018-3095-8
Hao, 2019, Time series analysis of mumps and meteorological factors in Beijing, China, BMC Infectious Diseases, 19, 435, 10.1186/s12879-019-4011-6
Hu, 2018, Meteorological factors and the incidence of mumps in Fujian Province, China, 2005-2013: Non-linear effects, The Science of the Total Environment, 619–620, 1286, 10.1016/j.scitotenv.2017.11.108
Hviid, 2008, Mumps. Lancet, 371, 932, 10.1016/S0140-6736(08)60419-5
Jiang, 2019, [Epidemiological characteristics of mumps in mainland China from 2004 to 2018 and key population for prevention and control], Zhong Guo Dang Dai Er Ke Za Zhi, 21, 441
Li, 2018, [Epidemiological and pathogenic characteristics of mumps in Fujian province, 2005-2017], Zhonghua Liuxingbingxue Zazhi, 39, 1356
Li, 2017, Modelling the transmission dynamics and control of mumps in mainland China, International Journal of Environmental Research and Public Health, 15, 10.3390/ijerph15010033
Liu, 2015, [Spatial temporal distribution of mumps in Gansu, 2009-2013], Zhonghua Liuxingbingxue Zazhi, 36, 1258
Lowen, 2007, Influenza virus transmission is dependent on relative humidity and temperature, PLoS Pathogens, 3, 1470, 10.1371/journal.ppat.0030151
Lu, 2020, The role of meteorological factors on mumps incidence among children in Guangzhou, Southern China, PLoS One, 15, 10.1371/journal.pone.0232273
Onozuka, 2011, Effect of weather variability on the incidence of mumps in children: A time-series analysis, Epidemiology and Infection, 139, 1692, 10.1017/S0950268810002967
Pan, 2012, Evaluation of outbreak control effect of varicella by time-delay discrete SEIR model in journal of mathematical medicine, Chinese Journal of Preventive Medicine, 343
Qu, 2017, A mumps model with seasonality in China, Infectious Disease Modelling, 2, 1, 10.1016/j.idm.2016.10.001
Richard, 2016, Influenza A virus transmission via respiratory aerosols or droplets as it relates to pandemic potential, FEMS Microbiology Reviews, 40, 68, 10.1093/femsre/fuv039
Shaman, 2009, Absolute humidity modulates influenza survival, transmission, and seasonality, Proceedings of the National Academy of Sciences of the United States of America, 106, 3243, 10.1073/pnas.0806852106
Stoddard, 2013, House-to-house human movement drives dengue virus transmission, Proceedings of the National Academy of Sciences, 110, 994, 10.1073/pnas.1213349110
Su, 2016, [Epidemic profile of mumps in China during 2004-2013], Zhonghua Yufang Yixue Zazhi, 50, 611
Wu, 2020, Effects of extreme meteorological factors on daily mumps cases in Hefei, China, during 2011-2016, Environmental Science and Pollution Research International, 27, 4489, 10.1007/s11356-019-07073-y
Yang, 2014, The relationship between meteorological factors and mumps incidence in Guangzhou, China, 2005-2012, Human Vaccines & Immunotherapeutics, 10, 2421, 10.4161/hv.29286
Yu, 2018, Spatial, temporal, and spatiotemporal analysis of mumps in Guangxi Province, China, 2005-2016, BMC Infectious Diseases, 18, 360, 10.1186/s12879-018-3240-4
Yu, 2018, Impact of meteorological factors on mumps and potential effect modifiers: An analysis of 10 cities in Guangxi, Southern China, Environmental Research, 166, 577, 10.1016/j.envres.2018.06.047
Zha, 2020, Effects of meteorological factors on the incidence of mumps and models for prediction, China, BMC Infectious Diseases, 20, 468, 10.1186/s12879-020-05180-7
Zhang, 2019, The relationship between meteorological factors and mumps based on Boosted regression tree model, The Science of the Total Environment, 695, 133758, 10.1016/j.scitotenv.2019.133758
Zhang, 2019, Short-term effects of extreme meteorological factors on childhood hand, foot, and mouth disease reinfection in Hefei, China: A distributed lag non-linear analysis, The Science of the Total Environment, 653, 839, 10.1016/j.scitotenv.2018.10.349
