Spanish Chinese Russian German French Japanese Portuguese Hindi Telugu Tamil
Flyer

Archives of Medicine

  • ISSN: 1989-5216
  • Journal h-index: 17
  • Journal CiteScore: 4.25
  • Journal Impact Factor: 3.58
  • Average acceptance to publication time (5-7 days)
  • Average article processing time (30-45 days) Less than 5 volumes 30 days
    8 - 9 volumes 40 days
    10 and more volumes 45 days
Awards Nomination 20+ Million Readerbase
PMC/PubMed Indexed Articles

Metabolic Effects of Androgen-associated Body Mass in Klinefelter Syndrome

Catching and Correcting Unreported, Under-Reported Accidents (Near-Misses) among Healthcare Provider in Thailand

Google Scholar citation report
Citations : 1259

Archives of Medicine received 1259 citations as per Google Scholar report

Flyer image
Archives of Medicine peer review process verified at publons
Flyer image
Indexed In
  • Genamics JournalSeek
  • China National Knowledge Infrastructure (CNKI)
  • Directory of Research Journal Indexing (DRJI)
  • OCLC- WorldCat
  • Proquest Summons
  • Publons
  • Geneva Foundation for Medical Education and Research
  • Euro Pub
  • Google Scholar
  • Secret Search Engine Labs
View More
Share This Page

The use of remote sensing and GIS in public health: A case study: Geospatial risk analysis for Schistosomiasis in Turkana, Kenya

Joint Event on 36th International Conference on Psychiatry and Psychosomatic Medicine & 9th International Conference on Addiction Psychiatry & Mental Health & 25th International Conference on Advanced Clinical Res
September 16-17, 2019 Rome, Italy

John Muthuka

Kenya

Posters & Accepted Abstracts: Arch Med

Abstract:

Using Remote Sensing and Geographical Information System (GIS) is a very useful tool for Public Health practice and research, for disease mapping, risk prediction and visualization of the spatial pattern of health and disease phenomena.

Statement of the Problem: The locality encompasses cupule of pastoralist activities that set an ideal environment conducive for Schistosomiasis the problem is for public health decision makers to locate these sites in order to direct care and health programs where needed that reduce the physical and human resources wasted where no need for it.

Objective: To locate high/low Risk of Schistosomiasis areas in form of a map.

Methods: A cross sessional study where Hazard factors and vulnerability factors data acquired from the survey, records and remotely sensed data are formulated in Raster data set in order to be calculated to obtain a risk map using a GIS software.

Results: A risk map showing high /low risk of Schistosomiasis transmission in term of socioeconomic and environmental suitability been conducted.

Discussion: The resulted risk map showed areas with high-risk, while others were shown as a moderate risk area; those results were validated with the epidemiological survey for Schistosoma Haematobium and Schistosoma Mansoni for school children in several basic schools in the locality.

Conclusion: Using Remote Sensing and GIS is a very valuable tool for Public Health Practice and Research, for can be helpful for health decision maker to guide them where to direct health policies and better to visualize health problem.

Recommendations: For Public Health Practitioners and Researchers to consider the use of remote sensing and GIS.

Keywords: Geospatial Risk analysis, Schistosomiasis, Remote Sensing, GIS, Environmental suitability

PDF HTML