Identifying Environmental Risk Factors of Cholera in a Coastal Area with Geospatial Technologies
Bibliographic Data
| ID | 15475854 |
|---|---|
| Authors | Min Xu (0000-0002-8940-1614, Chinese Academy of Sciences, corresponding author), Chunxiang Cao (0000-0002-4007-1546, Chinese Academy of Sciences), Duochun Wang (0000-0003-2372-1532, Chinese Center For Disease Control and Prevention), Biao Kan (0000-0002-6141-4552, Chinese Center For Disease Control and Prevention) |
| Year | 2014 |
| Volume | 12 |
| Issue | 1 |
| Pages | 354-370 |
| Publication date | 2014-12-29 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph120100354 |
| PMID | 25551518 |
| PMCID | PMC4306866 |
| OpenAlex | W2057251887 |
| Language | EN |
| Citations received | 3 |
| References cited | 34 |
Satellites contribute significantly to environmental quality and public health. Environmental factors are important indicators for the prediction of disease outbreaks. This study reveals the environmental factors associated with cholera in Zhejiang, a coastal province of China, using both Remote Sensing (RS) and Geographic information System (GIS). The analysis validated the correlation between the indirect satellite measurements of sea surface temperature (SST), sea surface height (SSH) and ocean chlorophyll concentration (OCC) and the local cholera magnitude based on a ten-year monthly data from the year 1999 to 2008. Cholera magnitude has been strongly affected by the concurrent variables of SST and SSH, while OCC has a one-month time lag effect. A cholera prediction model has been established based on the sea environmental factors. The results of hot spot analysis showed the local cholera magnitude in counties significantly associated with the estuaries and rivers
Cholera · Environmental planning · Environmental resource management · Geography · Geospatial analysis · Remote sensing · Environmental Science · Medicine · Vibrio bacteria research studies · Virology
| Citations per year | 0.43 |
|---|---|
| Citation span | 2019 - 2020 (2) |
| Highly cited | No |