Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2009 Sep;15(9):1341-6.
doi: 10.3201/eid1509.081334.

Using satellite images of environmental changes to predict infectious disease outbreaks

Affiliations

Using satellite images of environmental changes to predict infectious disease outbreaks

Timothy E Ford et al. Emerg Infect Dis. 2009 Sep.

Abstract

Recent events clearly illustrate a continued vulnerability of large populations to infectious diseases, which is related to our changing human-constructed and natural environments. A single person with multidrug-resistant tuberculosis in 2007 provided a wake-up call to the United States and global public health infrastructure, as the health professionals and the public realized that today's ease of airline travel can potentially expose hundreds of persons to an untreatable disease associated with an infectious agent. Ease of travel, population increase, population displacement, pollution, agricultural activity, changing socioeconomic structures, and international conflicts worldwide have each contributed to infectious disease events. Today, however, nothing is larger in scale, has more potential for long-term effects, and is more uncertain than the effects of climate change on infectious disease outbreaks, epidemics, and pandemics. We discuss advances in our ability to predict these events and, in particular, the critical role that satellite imaging could play in mounting an effective response.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Modeling cholera outbreaks in Bangladesh. Adapted from R.R. Colwell and J. Calkins, unpub. data.
Figure 2
Figure 2
Components of a predictive model of infectious disease based on satellite imaging to assess environmental change. SST, sea surface temperature; SSH, sea surface height.

References

    1. Climate change 2007: synthesis report. Contribution of working groups I, II and III to the fourth assessment report of the Intergovernmental Panel on Climate Change. Geneva: Intergovernmental Panel on Climate Change; 2007. [cited 2008 Apr 19]. Available from http://www.ipcc.ch/pdf/assessment-report/ar4/syr/ar4_syr.pdf
    1. Morens DM, Folkers GK, Fauci AS. The challenge of emerging and re-emerging infectious diseases. Nature. 2004;430:242–9. 10.1038/nature02759 - DOI - PMC - PubMed
    1. Wilson ME, Levins R, Spielman A, eds. Disease in evolution: global changes and emergence of infectious diseases. New York: New York Academy of Sciences; 1994. - PubMed
    1. Curriero FC, Patz JA, Rose JB, Lele S. Analysis of the association between extreme precipitation and waterborne disease outbreaks in the United States, 1948–1994. Am J Public Health. 2001;91:1194–9. 10.2105/AJPH.91.8.1194 - DOI - PMC - PubMed
    1. Hoyois P, Scheuren J-M, Below R, Guha-Sapin D. Annual disaster statistical review: numbers and trends, 2006. Brussels: Center for Research on the Epidemiology of Disasters, School of Public Health, Catholic University of Louvain; 2007 [cited 2008 Apr 19]. Available from http://www.emdat.be/Documents/Publications/Annual%20Disaster%20Statistic...

Publication types