Climate variations and Salmonella infection in Australian subtropical and tropical regions

Zhang, Ying; Bi, Peng; Hiller, Janet E.

doi:10.1016/j.scitotenv.2009.10.068

Cited by 100 publications

(118 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…33 We found evidence of a stronger association of temperature with salmonellosis risk in Auckland as compared to Christchurch. Similar regional variations were observed in Australia, where Zhang et al (2010) found that lag times for the impact of temperature on salmonella infections were shorter in tropical Townsville compared to subtropical Brisbane. The authors suggested that this minor difference may be due to the narrower range of temperatures in tropical Townsville.…”

Section: Discussionsupporting

confidence: 75%

“…6,7 These findings suggest that future climate change will influence incidence patterns in NZ. While the positive association between non-typhoidal salmonellosis and increasing temperature has been reported from Europe, Canada, the United States, Australia and NZ, [7][8][9][10][11][12] there is limited information on the short-term (weekly) and temporally lagged association of temperature with salmonellosis risk across regions. As Salmonella spp.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Spatial and temporal variation in the association between temperature and salmonellosis in NZ

Lal

Hales

Kirk

et al. 2016

Australian and New Zealand Journal of Public Health

View full text Add to dashboard Cite

Objective: Modelling the relationship between weather, climate and infectious diseases can help identify high‐risk periods and provide understanding of the determinants of longer‐term trends. We provide a detailed examination of the non‐linear and delayed association between temperature and salmonellosis in three New Zealand cities (Auckland, Wellington and Christchurch). Methods: Salmonella notifications were geocoded to the city of residence for the reported case. City‐specific associations between weekly maximum temperature and the onset date for reported salmonella infections (1997–2007) were modelled using non‐linear distributed lag models, while controlling for season and long‐term trends. Results: Relatively high temperatures were positively associated with infection risk in Auckland (n=3,073) and Christchurch (n=880), although the former showed evidence of a more immediate relationship with exposure to high temperatures. There was no significant association between temperature and salmonellosis risk in Wellington. Conclusions: Projected increases in temperature with climate change may have localised health impacts, suggesting that preventative measures will need to be region‐specific. This evidence contributes to the increasing concern over the public health impacts of climate change.

show abstract

Section: Discussionsupporting

confidence: 75%

mentioning

confidence: 99%

Spatial and temporal variation in the association between temperature and salmonellosis in NZ

Lal

Hales

Kirk

et al. 2016

Australian and New Zealand Journal of Public Health

View full text Add to dashboard Cite

show abstract

“…Studies conducted in the United States (77), Taiwan (62), New Zealand (35), Australia (172), Bangladesh (182), Canada (428), and China (483) have found increased diarrhea-associated morbidity related to increased temperature and extreme rainfall days, although in Australia there were no differences in climate-associated increases in Salmonella infection rates between subtropical and tropical regions (482). Several authors have suggested that the seasonal incidence of infection with some enteric protozoa may be affected by increased rainfall, increased pollution from farm waste, or animal husbandry practices (172,206).…”

Section: Implications Of Climate-related Changesmentioning

confidence: 99%

Enteric Protozoa in the Developed World: a Public Health Perspective

et al. 2012

View full text Add to dashboard Cite

SUMMARY Several enteric protozoa cause severe morbidity and mortality in both humans and animals worldwide. In developed settings, enteric protozoa are often ignored as a cause of diarrheal illness due to better hygiene conditions, and as such, very little effort is used toward laboratory diagnosis. Although these protozoa contribute to the high burden of infectious diseases, estimates of their true prevalence are sometimes affected by the lack of sensitive diagnostic techniques to detect them in clinical and environmental specimens. Despite recent advances in the epidemiology, molecular biology, and treatment of protozoan illnesses, gaps in knowledge still exist, requiring further research. There is evidence that climate-related changes will contribute to their burden due to displacement of ecosystems and human and animal populations, increases in atmospheric temperature, flooding and other environmental conditions suitable for transmission, and the need for the reuse of alternative water sources to meet growing population needs. This review discusses the common enteric protozoa from a public health perspective, highlighting their epidemiology, modes of transmission, prevention, and control. It also discusses the potential impact of climate changes on their epidemiology and the issues surrounding waterborne transmission and suggests a multidisciplinary approach to their prevention and control.

show abstract

“…Previous studies have debated the correlation between climate factors and transmission of infectious diseases around the world (Patz et al, 1996;Altizer et al, 2006;Zhang et al, 2010;McCormick et al, 2013;Lee et al, 2015;Rika-Heke et al, 2015), including in many areas of China (Zhang et al, 2007a;Zhang et al, 2007b;Guan et al, 2008;Huang et al, 2011;Shen et al, 2015). Outbreaks of avian cholera are known to be frequently correlated with intensive poultry production, climate stress and possible predation in free range flocks (Elfaki et al, 2002).…”

Section: Discussionmentioning

confidence: 99%

“…Rainfall, especially heavy rainfall may adversely affect the frequency and level of drinking water contamination (Zhang et al, 2007b;Zhang et al, 2010). In addition, precipitation after a long drought usually results in an increase in pathogen numbers, leading to a disease outbreak (Wilby et al, 2005).…”

Section: Discussionmentioning

confidence: 99%

Climate Variability and Avian Cholera Transmission in Guangxi, China

Qin

et al. 2017

Rev. Bras. Cienc. Avic.

View full text Add to dashboard Cite

In recent years, Guangxi has become one of the most severely affected provinces by epidemics of avian cholera in China. To date, the major determinant climatic factors of the disease in the region have remained largely unknown, making it difficult to effectively target countermeasures for avian cholera surveillance and control. This study aimed to quantify the relationship between climatic variables and cases of avian cholera in subtropical areas of China. Data relating to local meteorological variables and notified cases of avian cholera were supplied by the relevant authorities between January 2006 and December 2015. Spearman correlation, co-linearity statistics and crosscorrelation analysis were applied to the data, controlling for co-linearity and lag effects. A time-series Poisson regression analysis was conducted to examine the degree of correlation between the climate variables and avian cholera transmission. The results indicated that monthly mean temperature, relative humidity, rainfall and the multivariate El Niño Southern Oscillation Index, with 2-3 months lag, were correlated with avian cholera incidence. The final model had good predictive ability for the occurrence of avian cholera. Overall, the findings indicate that climate variability plays an important role in avian cholera transmission in Guangxi province. Adoption of the model presented in this study could usefully inform avian cholera surveillance strategies, making them significantly simpler and more effective. The model could also serve as a decision support tool for veterinary professionals and health authorities.

show abstract

Climate variations and Salmonella infection in Australian subtropical and tropical regions

Cited by 100 publications

References 23 publications

Spatial and temporal variation in the association between temperature and salmonellosis in NZ

Spatial and temporal variation in the association between temperature and salmonellosis in NZ

Enteric Protozoa in the Developed World: a Public Health Perspective

Climate Variability and Avian Cholera Transmission in Guangxi, China

Contact Info

Product

Resources

About