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Items: 1 to 20 of 102

1.

The effect of climate change on cholera disease: The road ahead using artificial neural network.

Asadgol Z, Mohammadi H, Kermani M, Badirzadeh A, Gholami M.

PLoS One. 2019 Nov 6;14(11):e0224813. doi: 10.1371/journal.pone.0224813. eCollection 2019.

2.

Future ozone-related acute excess mortality under climate and population change scenarios in China: A modeling study.

Chen K, Fiore AM, Chen R, Jiang L, Jones B, Schneider A, Peters A, Bi J, Kan H, Kinney PL.

PLoS Med. 2018 Jul 3;15(7):e1002598. doi: 10.1371/journal.pmed.1002598. eCollection 2018 Jul.

3.

SWAT-MODSIM-PSO optimization of multi-crop planning in the Karkheh River Basin, Iran, under the impacts of climate change.

Fereidoon M, Koch M.

Sci Total Environ. 2018 Jul 15;630:502-516. doi: 10.1016/j.scitotenv.2018.02.234. Epub 2018 Feb 24.

PMID:
29486443
4.

Cholera in Cameroon, 2000-2012: Spatial and Temporal Analysis at the Operational (Health District) and Sub Climate Levels.

Ngwa MC, Liang S, Kracalik IT, Morris L, Blackburn JK, Mbam LM, Ba Pouth SF, Teboh A, Yang Y, Arabi M, Sugimoto JD, Morris JG Jr.

PLoS Negl Trop Dis. 2016 Nov 17;10(11):e0005105. doi: 10.1371/journal.pntd.0005105. eCollection 2016 Nov.

5.

Climate changes, environment and infection: facts, scenarios and growing awareness from the public health community within Europe.

Bezirtzoglou C, Dekas K, Charvalos E.

Anaerobe. 2011 Dec;17(6):337-40. doi: 10.1016/j.anaerobe.2011.05.016. Epub 2011 Jun 2.

PMID:
21664978
6.

Potential impacts of climate change on groundwater level through hybrid soft-computing methods: a case study-Shabestar Plain, Iran.

Jeihouni E, Mohammadi M, Eslamian S, Zareian MJ.

Environ Monit Assess. 2019 Sep 6;191(10):620. doi: 10.1007/s10661-019-7784-6.

PMID:
31493149
7.

Temporal neural networks for downscaling climate variability and extremes.

Dibike YB, Coulibaly P.

Neural Netw. 2006 Mar;19(2):135-44. Epub 2006 Mar 9.

PMID:
16527456
8.

[Simulation study on the effects of climate change on aboveground biomass of plantation in southern China: Taking Moshao forest farm in Huitong Ecological Station as an example].

Dai EF, Zhou H, Wu Z, Wang XF, Xi WM, Zhu JJ.

Ying Yong Sheng Tai Xue Bao. 2016 Oct;27(10):3059-3069. doi: 10.13287/j.1001-9332.201610.011. Chinese.

PMID:
29726129
9.

Impacts of projected change in climate on water balance in basins of East Africa.

Gebrechorkos SH, Bernhofer C, Hülsmann S.

Sci Total Environ. 2019 Sep 10;682:160-170. doi: 10.1016/j.scitotenv.2019.05.053. Epub 2019 May 6.

PMID:
31112817
10.

The costs of climate change: a study of cholera in Tanzania.

Trærup SL, Ortiz RA, Markandya A.

Int J Environ Res Public Health. 2011 Dec;8(12):4386-405. doi: 10.3390/ijerph8124386. Epub 2011 Nov 28.

11.

Climate variability and the outbreaks of cholera in Zanzibar, East Africa: a time series analysis.

Reyburn R, Kim DR, Emch M, Khatib A, von Seidlein L, Ali M.

Am J Trop Med Hyg. 2011 Jun;84(6):862-9. doi: 10.4269/ajtmh.2011.10-0277. Erratum in: Am J Trop Med Hyg. 2011 Jul;85(1):191.

12.

Impact assessment of projected climate change on diffuse phosphorous loss in Xin'anjiang catchment, China.

Zhai X, Zhang Y.

Environ Sci Pollut Res Int. 2018 Feb;25(5):4570-4583. doi: 10.1007/s11356-017-0790-8. Epub 2017 Nov 30.

PMID:
29190035
13.

Climate change effects on extreme flows of water supply area in Istanbul: utility of regional climate models and downscaling method.

Kara F, Yucel I.

Environ Monit Assess. 2015 Sep;187(9):580. doi: 10.1007/s10661-015-4808-8. Epub 2015 Aug 22.

PMID:
26293893
14.

Projection of Future Extreme Precipitation and Flood Changes of the Jinsha River Basin in China Based on CMIP5 Climate Models.

Yuan Z, Xu J, Wang Y.

Int J Environ Res Public Health. 2018 Nov 8;15(11). pii: E2491. doi: 10.3390/ijerph15112491.

15.

Future climate change scenarios in Central America at high spatial resolution.

Imbach P, Chou SC, Lyra A, Rodrigues D, Rodriguez D, Latinovic D, Siqueira G, Silva A, Garofolo L, Georgiou S.

PLoS One. 2018 Apr 25;13(4):e0193570. doi: 10.1371/journal.pone.0193570. eCollection 2018.

16.

Model of cholera dissemination using geographic information systems and fuzzy clustering means: case study, Chabahar, Iran.

Pezeshki Z, Tafazzoli-Shadpour M, Mansourian A, Eshrati B, Omidi E, Nejadqoli I.

Public Health. 2012 Oct;126(10):881-7. doi: 10.1016/j.puhe.2012.07.002. Epub 2012 Aug 9.

PMID:
22884859
17.
18.

Modeling Future Projections of Temperature-Related Excess Morbidity due to Infectious Gastroenteritis under Climate Change Conditions in Japan.

Onozuka D, Gasparrini A, Sera F, Hashizume M, Honda Y.

Environ Health Perspect. 2019 Jul;127(7):77006. doi: 10.1289/EHP4731. Epub 2019 Jul 19.

19.

Cholera dynamics and El Niño-Southern Oscillation.

Pascual M, Rodó X, Ellner SP, Colwell R, Bouma MJ.

Science. 2000 Sep 8;289(5485):1766-9.

20.

A global map of suitability for coastal Vibrio cholerae under current and future climate conditions.

Escobar LE, Ryan SJ, Stewart-Ibarra AM, Finkelstein JL, King CA, Qiao H, Polhemus ME.

Acta Trop. 2015 Sep;149:202-11. doi: 10.1016/j.actatropica.2015.05.028. Epub 2015 Jun 3.

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