Niyogi, SK. Shigellosis. Journal of Microbiology, 2005; 43: 133.
Zhang, Y, Peng, B. Hiller, JE. Weather and the transmission of bacillary dysentery in Jinan, northern China: a time-series analysis. Public Health Reports
2008; 123: 61–66.
Walker, CLF, et al.
Estimating diarrhea mortality among young children in low and middle income countries. PLoS ONE
2012; 7: e29151.
Wang, X, et al.
Trend and disease burden of bacillary dysentery in China (1991–2000). Bulletin of the World Health Organization
2006; 84: 561–568.
Gao, L, et al.
Meteorological variables and bacillary dysentery cases in Changsha City, China. American Journal of Tropical Medicine and Hygiene
2014; 90: 697–704.
Sui, J, et al.
Surveillance of bacillary dysentery in China, 2009. Disease Surveillance
2010; 25: 947–950.
Guan, P, et al.
Bacillary dysentery and meteorological factors in northeastern china: a historical review based on classification and regression trees. Japanese Journal of Infectious Diseases
2008; 61: 356–360.
Huang, D, et al.
Investigating the effects of climate variations on bacillary dysentery incidence in northeast China using ridge regression and hierarchical cluster analysis. BMC Infectious Diseases
2008; 8: 130.
Curriero, FC, et al.
The association between extreme precipitation and waterborne disease outbreaks in the United States, 1948–1994. American Journal of Public Health
2001; 91: 1194–1199.
Wu, H, et al.
The effect of meteorological factors on adolescent hand, foot, and mouth disease and associated effect modifiers. Global Health Action
2014; 7: 24664.
Li, Z, et al.
Identifying high-risk areas of bacillary dysentery and associated meteorological factors in Wuhan, China. Scientific Reports
2013; 3: 3239.
Zhou, X, et al.
High temperature as a risk factor for infectious diarrhea in Shanghai, China. Journal of Epidemiology
2013. 23: 418.
Zhang, Y, et al.
Climate variations and bacillary dysentery in northern and southern cities of China. Journal of Infection
2007; 55: 194–200.
Xu, Z, et al.
Spatiotemporal pattern of bacillary dysentery in china from 1990 to 2009: what is the driver behind?
2014; 9: e104329.
Wang, L, et al.
Emergence and control of infectious diseases in China. Lancet
2008; 372: 1598–1605.
Dominici, F, et al.
On the use of generalized additive models in time-series studies of air pollution and health. American Journal of Epidemiology
2002; 156: 193–203.
Lin, HL, et al.
Short term effects of El Nino-Southern Oscillation on hand, foot, and mouth disease in Shenzhen, China. PLoS ONE
2013; 8: e65585.
Curriero, FC, et al.
Temperature and mortality in 11 cities of the eastern United States. American Journal of Epidemiology
2002; 155: 80–87.
Wong, CM, et al.
Public health and air pollution in Asia (PAPA): a multicity study of short-term effects of air pollution on mortality. Environmental Health Perspectives
2008; 116: 1195–1202.
Qiu, H, et al.
Greater temperature variation within a day associated with increased emergency hospital admissions for asthma. Science of the Total Environment
2015; 505: 508–513.
Belsley, DA, Kuh, E. Welsch, RE. Regression Diagnostics: Identifying Influential Data and Sources of Collinearity, vol. 571. Wiley-Interscience, 2005.
Kan, H, et al.
Differentiating the effects of fine and coarse particles on daily mortality in Shanghai, China. Environment International
2007; 33: 376–384.
Ma, W, et al.
Applied mixed generalized additive model to assess the effect of temperature on the incidence of bacillary dysentery and its forecast. PLoS ONE
2013; 8: e62122.
Gasparrini, A. Armstrong, B. Time series analysis on the health effects of temperature: Advancements and limitations. Environmental Research
2010; 110: 633–638.
Peng, RD, Dominici, F. Louis, TA. Model choice in time series studies of air pollution and mortality. Journal of the Royal Statistical Society: Series A
2006; 169: 179–203.
Alexander, KA, et al.
Climate change is likely to worsen the public health threat of diarrheal disease in Botswana. International Journal of Environmental Research and Public Health
2013; 10: 1202–1230.
Shuman, EK. Global climate change and infectious diseases. New England Journal of Medicine
2010; 362: 1061–1063.
Lin, H, et al.
Time series analysis of Japanese encephalitis and weather in Linyi City, China. International Journal of Public Health
2012; 57: 289–296.
Lin, HL, et al.
Spatial and temporal distribution of falciparum malaria in China. Malaria Journal
2009; 8: 130.
Lu, L, et al.
Time series analysis of dengue fever and weather in Guangzhou, China. BMC Public Health
2009; 9: 395.
Patrick, ME, et al.
Effects of climate on incidence of Campylobacter spp. in humans and prevalence in broiler flocks in Denmark. Applied and Environmental Microbiology
2004; 70: 7474–7480.
Li, T, Yang, Z. Wang, M. Temperature and atmospheric pressure may be considered as predictors for the occurrence of bacillary dysentery in Guangzhou, Southern China. Revista da Sociedade Brasileira de Medicina Tropical
2014; 47: 382–384.
Checkley, W, et al.
Effects of EI Niño and ambient temperature on hospital admissions for diarrhoeal diseases in Peruvian children. Lancet
2000; 355: 442–450.
Kovats, R, et al.
The effect of temperature on food poisoning: a time-series analysis of salmonellosis in ten European countries. Epidemiology and Infection
2004; 132: 443–453.
Lean, JL. Rind, DH. How will Earth's surface temperature change in future decades?
Geophysical Research Letters
2009; 36: L15708.
Singh, RB, et al.
The influence of climate variation and change on diarrheal disease in the Pacific Islands. Environmental Health Perspectives
2001; 109: 155–159.
Chou, WC, et al.
Modeling the impact of climate variability on diarrhea-associated diseases in Taiwan (1996–2007). Science of The Total Environment
2010; 409: 43–51.
Auld, H, MacIver, D. Klaassen, J. Heavy rainfall and waterborne disease outbreaks: the Walkerton example. Journal of Toxicology and Environmental Health Part A
2004; 67: 1879–1887.
Hashizume, M, et al.
Association between climate variability and hospital visits for non-cholera diarrhoea in Bangladesh: effects and vulnerable groups. International Journal of Epidemiology
2007; 36: 1030–1037.
Bandyopadhyay, S, Kanji, S. Wang, L. The impact of rainfall and temperature variation on diarrheal prevalence in Sub-Saharan Africa. Applied Geography
2012; 33: 63–72.