Vote for your favorite mineral in #MinCup25! - Kosmochlor vs. Titanite
We're going for namesake-minerals as bright meteorite-derived green #kosmochlor is up against the wedge-shaped indicator mineral #titanite.
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

McBride, Graham, Tait, Andrew, Slaney, David (2014) Projected changes in reported campylobacteriosis and cryptosporidiosis rates as a function of climate change: a New Zealand study. Stochastic Environmental Research and Risk Assessment, 28 (8). 2133-2147 doi:10.1007/s00477-014-0920-5

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleProjected changes in reported campylobacteriosis and cryptosporidiosis rates as a function of climate change: a New Zealand study
JournalStochastic Environmental Research and Risk Assessment
AuthorsMcBride, GrahamAuthor
Tait, AndrewAuthor
Slaney, DavidAuthor
Year2014 (December)Volume28
Issue8
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s00477-014-0920-5Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9339942Long-form Identifiermindat:1:5:9339942:3
GUID0
Full ReferenceMcBride, Graham, Tait, Andrew, Slaney, David (2014) Projected changes in reported campylobacteriosis and cryptosporidiosis rates as a function of climate change: a New Zealand study. Stochastic Environmental Research and Risk Assessment, 28 (8). 2133-2147 doi:10.1007/s00477-014-0920-5
Plain TextMcBride, Graham, Tait, Andrew, Slaney, David (2014) Projected changes in reported campylobacteriosis and cryptosporidiosis rates as a function of climate change: a New Zealand study. Stochastic Environmental Research and Risk Assessment, 28 (8). 2133-2147 doi:10.1007/s00477-014-0920-5
In(2014, December) Stochastic Environmental Research and Risk Assessment Vol. 28 (8) Springer Science and Business Media LLC

See Also

These are possibly similar items as determined by title/reference text matching only.

Menezes, Raquel, Gonçalves, A. Manuela (2014) Spatio-temporal stochastic modelling (METMAVI). Stochastic Environmental Research and Risk Assessment, 28 (5). 1167-1169 doi:10.1007/s00477-014-0860-0
Kim, Soojun, Kim, Byung Sik, Jun, Hwandon, Kim, Hung Soo (2014) Assessment of future water resources and water scarcity considering the factors of climate change and social–environmental change in Han River basin, Korea. Stochastic Environmental Research and Risk Assessment, 28 (8). 1999-2014 doi:10.1007/s00477-014-0924-1
Hsieh, Nan-Hung, Cheng, Yi-Hsien, Liao, Chung-Min (2014) Changing variance and skewness as leading indicators for detecting ozone exposure-associated lung function decrement. Stochastic Environmental Research and Risk Assessment, 28 (8). 2205-2216 doi:10.1007/s00477-014-0887-2
Loveridge, Melanie, Rahman, Ataur (2014) Quantifying uncertainty in rainfall–runoff models due to design losses using Monte Carlo simulation: a case study in New South Wales, Australia. Stochastic Environmental Research and Risk Assessment, 28 (8). 2149-2159 doi:10.1007/s00477-014-0862-y
Loarca, Andrea Lira, Cobos, Manuel, Besio, Giovanni, Baquerizo, Asunción (2021) Projected wave climate temporal variability due to climate change. Stochastic Environmental Research and Risk Assessment, 35 (9) 1741-1757 doi:10.1007/s00477-020-01946-2
Shahriar, Anjuman, Sadiq, Rehan, Tesfamariam, Solomon (2014) Life cycle greenhouse gas footprint of shale gas: a probabilistic approach. Stochastic Environmental Research and Risk Assessment, 28 (8). 2185-2204 doi:10.1007/s00477-014-0874-7
Aliyu, Abubakar Sadiq, Ramli, Ahmad Termizi, Saleh, Muneer Aziz (2014) Environmental impact assessment of a new nuclear power plant (NPP) based on atmospheric dispersion modeling. Stochastic Environmental Research and Risk Assessment, 28 (7). 1897-1911 doi:10.1007/s00477-014-0856-9
Niu, Jun, Sivakumar, Bellie (2014) Study of runoff response to land use change in the East River basin in South China. Stochastic Environmental Research and Risk Assessment, 28 (4). 857-865 doi:10.1007/s00477-013-0690-5
Zhao, Jun, Jin, Juliang, Guo, Qizhong, Liu, Li, Chen, Yaqian, Pan, Mei (2014) Dynamic risk assessment model for flood disaster on a projection pursuit cluster and its application. Stochastic Environmental Research and Risk Assessment, 28 (8). 2175-2183 doi:10.1007/s00477-014-0881-8
Li, Bin, Chen, Fang (2015) Using the aridity index to assess recent climate change: a case study of the Lancang River Basin, China. Stochastic Environmental Research and Risk Assessment, 29 (4). 1071-1083 doi:10.1007/s00477-014-0998-9
Shafii, Mahyar, Tolson, Bryan, Matott, Loren Shawn (2014) Uncertainty-based multi-criteria calibration of rainfall-runoff models: a comparative study. Stochastic Environmental Research and Risk Assessment, 28 (6). 1493-1510 doi:10.1007/s00477-014-0855-x
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: September 21, 2025 10:29:49
Go to top of page