Difference between revisions of "Team:Lambert GA/CALM REFERENCES"
| Line 240: | Line 240: | ||
<div id="afterhome"> | <div id="afterhome"> | ||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
<div id="maincontent"> | <div id="maincontent"> | ||
<br><br><br> | <br><br><br> | ||
Revision as of 17:47, 17 October 2018
C A L M R E F E R E N C E S
References
Almagro-Moreno, S., & Taylor, R. K. (2014). Cholera: Environmental Reservoirs and Impact on Disease Transmission. ASM Press, 1(2), 149- 165. https://doi.org/10.1128/microbiolspec.OH-0003-2012
Al Jazeera. (2017, August 27). Cholera outbreak in yemen [Photograph]. Retrieved from https://www.aljazeera.com/mritems/Images/2017/9/5/d4be60b186c14c4a9f6c8ef2ba7cdff0_7.jpg
Azman, D. A. S., Parker, L. A., Rumunu, J., Tadesse, F., Grandesso, F., Deng, L. L., … Luquero, F. J. (2016). Effectiveness of one dose of oral cholera vaccine in response to an outbreak: a case-cohort study. The Lanclet, 4(11), 856–863.
Camacho, A., Bouhenia, M., Alyusfi, R., Alkohlani, A., Naji, M. A. M., Radiguès, X., … Luquero, F. J. (2018). Cholera epidemic in Yemen, 2016–18: an analysis of surveillance data. The Lancelet Global Health, 6,680–690. https://doi.org/10.1016/S2214109X(18)30230-4
Chen, T., Guestrin, C. (2016). XGBoost: A scalable tree boosting system. Unpublished manuscript, University of Washington, Seattle, WA.
Cholera - Vibrio cholerae infection. (2018). Retrieved from https://www.cdc.gov/cholera/general/index.html
Cole, S. (2018, August 28). NASA Investment in Cholera Forecasts Helps Save Lives in Yemen [Press Release]. Retrieved from https://www.nasa.gov/press-release/nasa-investment-in-cholera-forecasts-helps-save-lives-in-yemen
Doldersum, T. (2013). The role of water in cholera diffusion Improvements of a cholera diffusion model for Kumasi, Ghana. University of Twente: Water Engineering and Management Geo-Information Processing. Retrieved from . Retrieved from https://essay.utwente.nl/63456/1/DoldersumT_0138827_openbaar.pdf
Emch, M., Feldacker, C., Islam, M. S., & Ali, M. (2008). Seasonality of cholera from 1974 to 2005: a review of global patterns. International Journal of Health Geographics, 7, 31. http://doi.org/10.1186/1476-072X-7-31
Grad, Y. H., Miller, J. C., & Lipsitch, M. (2012). Cholera Modeling: Challenges to Quantitative Analysis and Predicting the Impact of Interventions. National Center for Biotechnological Information, 23(4), 523–530. https://doi.org/10.1097/EDE.0b013e3182572581
Jutla, A. S., Akanda, A. S., & Islam, S. (2010). Satellite remote sensing-based forecasting of cholera outbreaks in the Bengal Delta. AHS-AISH publication, 241-243. Retreived from https://iahs.info/uploads/dms/15080.65-241-243-Jutla-et-al.pdf
Jutla, A., Akanda, A., Unnikrishnan, A., Huq, A., & Colwell, R. (2015). Predictive Time Series Analysis Linking Bengal Cholera with Terrestrial Water Storage Measured from Gravity Recovery and Climate Experiment Sensors. The American Journal of Tropical Medicine and Hygiene, 93(6), 1179–1186. http://doi.org/10.4269/ajtmh.14-0648
Jutla, A., Whitcombe, E., Hasan, N., Haley, B., Akanda, A., Huq, A., … Colwell, R. (2013). Environmental Factors Influencing Epidemic Cholera. The American Journal of Tropical Medicine and Hygiene, 89(3), 597–607. https://doi.org/0.4269/ajtmh.12-0721
London School of Hygiene & Tropical Medicine. (2018, May 03). Upcoming rainy season likely to trigger renewed cholera outbreak in Yemen. Retrieved from https://www.lshtm.ac.uk/newsevents/news/2018/upcoming-rainy-season-likely-trigger-renewed-cholera-outbreak-yemen
Nishiura, H., Tsuzuki, S., & Asai, Y. (2018). Forecasting the size and peak of cholera epidemic in Yemen, 2017. Future Medicine, 13(4), 399–402. https://doi.org/060-8638
Nishiura, H., Tsuzuki, S., Yuan, B., Yamaguchi, T., & Asai, Y. (2017). Transmission dynamics of cholera in Yemen, 2017: a real time forecasting. Theoretical Biology & Medical Modelling, 14, 14. http://doi.org/10.1186/s12976-017-0061-x
Pezeshki, Z., Shadpour-Tafazzoli, M., Nejadgholi, I., Mansourian, A., & Rahbar, M. (2016). Model of Cholera Forecasting Using Artificial Neural Network in Chabahar City, Iran. International Journal of Enteric Pathogens, 4(1), e31445. https://doi.org/10.17795/ijep31445
Raleigh, C., & Dowd, C. (2017). Armed Conflict Location and Event Data Project (ACLED) Codebook. Retrieved from https://www.acleddata.com/wpcontent/uploads/2017/01/ACLED_Codebook_2017.pdf
The Forgotten War: The Ongoing Disaster in Yemen. (2018). The Soufan Center. doi:10.1186/isrctn06195297
Yemen. (2014, February 21). Retrieved October 16, 2018, from http://www.citypopulation.de/Yemen.html
Yemen's Cholera Crisis: Fighting Disease During Armed Conflict. (n.d.). Retrieved from https://gheli.harvard.edu/news/yemens-cholera-crisis-fighting-disease-during-armed-conflict
Yemen Situation Reports. (n.d.). Retrieved from http://www.emro.who.int/yem/yemeninfocus/situation-reports.html Zegura, E., & DiSalvo, C. (2018). RatWatch. Retrieved from https://ratwatch.lmc.gatech.edu/
Al Jazeera. (2017, August 27). Cholera outbreak in yemen [Photograph]. Retrieved from https://www.aljazeera.com/mritems/Images/2017/9/5/d4be60b186c14c4a9f6c8ef2ba7cdff0_7.jpg
Azman, D. A. S., Parker, L. A., Rumunu, J., Tadesse, F., Grandesso, F., Deng, L. L., … Luquero, F. J. (2016). Effectiveness of one dose of oral cholera vaccine in response to an outbreak: a case-cohort study. The Lanclet, 4(11), 856–863.
Camacho, A., Bouhenia, M., Alyusfi, R., Alkohlani, A., Naji, M. A. M., Radiguès, X., … Luquero, F. J. (2018). Cholera epidemic in Yemen, 2016–18: an analysis of surveillance data. The Lancelet Global Health, 6,680–690. https://doi.org/10.1016/S2214109X(18)30230-4
Chen, T., Guestrin, C. (2016). XGBoost: A scalable tree boosting system. Unpublished manuscript, University of Washington, Seattle, WA.
Cholera - Vibrio cholerae infection. (2018). Retrieved from https://www.cdc.gov/cholera/general/index.html
Cole, S. (2018, August 28). NASA Investment in Cholera Forecasts Helps Save Lives in Yemen [Press Release]. Retrieved from https://www.nasa.gov/press-release/nasa-investment-in-cholera-forecasts-helps-save-lives-in-yemen
Doldersum, T. (2013). The role of water in cholera diffusion Improvements of a cholera diffusion model for Kumasi, Ghana. University of Twente: Water Engineering and Management Geo-Information Processing. Retrieved from . Retrieved from https://essay.utwente.nl/63456/1/DoldersumT_0138827_openbaar.pdf
Emch, M., Feldacker, C., Islam, M. S., & Ali, M. (2008). Seasonality of cholera from 1974 to 2005: a review of global patterns. International Journal of Health Geographics, 7, 31. http://doi.org/10.1186/1476-072X-7-31
Grad, Y. H., Miller, J. C., & Lipsitch, M. (2012). Cholera Modeling: Challenges to Quantitative Analysis and Predicting the Impact of Interventions. National Center for Biotechnological Information, 23(4), 523–530. https://doi.org/10.1097/EDE.0b013e3182572581
Jutla, A. S., Akanda, A. S., & Islam, S. (2010). Satellite remote sensing-based forecasting of cholera outbreaks in the Bengal Delta. AHS-AISH publication, 241-243. Retreived from https://iahs.info/uploads/dms/15080.65-241-243-Jutla-et-al.pdf
Jutla, A., Akanda, A., Unnikrishnan, A., Huq, A., & Colwell, R. (2015). Predictive Time Series Analysis Linking Bengal Cholera with Terrestrial Water Storage Measured from Gravity Recovery and Climate Experiment Sensors. The American Journal of Tropical Medicine and Hygiene, 93(6), 1179–1186. http://doi.org/10.4269/ajtmh.14-0648
Jutla, A., Whitcombe, E., Hasan, N., Haley, B., Akanda, A., Huq, A., … Colwell, R. (2013). Environmental Factors Influencing Epidemic Cholera. The American Journal of Tropical Medicine and Hygiene, 89(3), 597–607. https://doi.org/0.4269/ajtmh.12-0721
London School of Hygiene & Tropical Medicine. (2018, May 03). Upcoming rainy season likely to trigger renewed cholera outbreak in Yemen. Retrieved from https://www.lshtm.ac.uk/newsevents/news/2018/upcoming-rainy-season-likely-trigger-renewed-cholera-outbreak-yemen
Nishiura, H., Tsuzuki, S., & Asai, Y. (2018). Forecasting the size and peak of cholera epidemic in Yemen, 2017. Future Medicine, 13(4), 399–402. https://doi.org/060-8638
Nishiura, H., Tsuzuki, S., Yuan, B., Yamaguchi, T., & Asai, Y. (2017). Transmission dynamics of cholera in Yemen, 2017: a real time forecasting. Theoretical Biology & Medical Modelling, 14, 14. http://doi.org/10.1186/s12976-017-0061-x
Pezeshki, Z., Shadpour-Tafazzoli, M., Nejadgholi, I., Mansourian, A., & Rahbar, M. (2016). Model of Cholera Forecasting Using Artificial Neural Network in Chabahar City, Iran. International Journal of Enteric Pathogens, 4(1), e31445. https://doi.org/10.17795/ijep31445
Raleigh, C., & Dowd, C. (2017). Armed Conflict Location and Event Data Project (ACLED) Codebook. Retrieved from https://www.acleddata.com/wpcontent/uploads/2017/01/ACLED_Codebook_2017.pdf
The Forgotten War: The Ongoing Disaster in Yemen. (2018). The Soufan Center. doi:10.1186/isrctn06195297
Yemen. (2014, February 21). Retrieved October 16, 2018, from http://www.citypopulation.de/Yemen.html
Yemen's Cholera Crisis: Fighting Disease During Armed Conflict. (n.d.). Retrieved from https://gheli.harvard.edu/news/yemens-cholera-crisis-fighting-disease-during-armed-conflict
Yemen Situation Reports. (n.d.). Retrieved from http://www.emro.who.int/yem/yemeninfocus/situation-reports.html Zegura, E., & DiSalvo, C. (2018). RatWatch. Retrieved from https://ratwatch.lmc.gatech.edu/