Research |
Climate and Health
|
The availability of on-line and real-time sources of big data sets gives us the opportunity to monitor how climate variables (among many other factors) influence the spread of Dengue, Antibiotic Resistance, and other outbreaks around the world.
|
Figure. Antibiotic Resistant outbreaks across pathogens shown on the left panel and Minimum Air Temeprature on the right panel.
From: MacFadden DR, McGough SF, Fisman D, Santillana M, Brownstein JS. Antibiotic Resistance Increases with Local Temperature Nature Climate Change 8 (2018), pp 510-514. (PDF) |
Related publications
|
Antibiotic Resistance Increases with Local Temperature
MacFadden DR, McGough SF, Fisman D, Santillana M, Brownstein JS. Nature Climate Change. 2018;8 :510–514. |
|
Rates of increase of antibiotic resistance and ambient temperature in Europe: a cross-national analysis of 28 countries between 2000-2016
McGough S, MacFadden DR, Hattab MW, Mølbak K, Santillana M. Eurosurveillance. 2020;25 (45) :1900414. |
|
The Role of Environmental Factors on Transmission Rates of the COVID-19 Outbreak: An Initial Assessment in Two Spatial Scales
Poirier C, Luo W, Majumder MS, Liu D, Mandl K, Mooring T, Santillana M. Scientific Reports. 2020;10 :17002. |
|
Using heterogeneous data to identify signatures of dengue outbreaks at fine spatio-temporal scales across Brazil
Castro LA, Generous N, Luo W, y Piontti AP, Martinez K, Gomes MFC, Osthus D, Fairchild G, Ziemann A, Vespignani A, et al. PLoS Neglected Tropical Diseases. 2021. |
|
A dynamic, ensemble learning approach to forecast dengue fever epidemic years in Brazil using weather and population susceptibility cycles
McGough S, Kutz NJ, Clemente LC, Santillana M. Journal of the Royal Society Interface. 2021;18 (179) |
|
Evaluating the performance of infectious disease forecasts: A comparison of climate-driven and seasonal dengue forecasts for Mexico
Johansson MA, Reich NG, Hota A, Brownstein JS, Santillana M. Scientific Reports. 2016;6 (33707). |
