Earth Observation, Spatial Data Quality, and Neglected Tropical Diseases

被引:38
作者
Hamm, Nicholas A. S. [1 ]
Magalhaes, Ricardo J. Soares [2 ,3 ]
Clements, Archie C. A. [4 ]
机构
[1] Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, NL-7500 AE Enschede, Netherlands
[2] Univ Queensland, Sch Vet Sci, Brisbane, Qld, Australia
[3] Univ Queensland, Child Hlth Res Ctr, Brisbane, Qld, Australia
[4] Australian Natl Univ, Res Sch Populat Hlth, Canberra, ACT, Australia
来源
PLOS NEGLECTED TROPICAL DISEASES | 2015年 / 9卷 / 12期
基金
英国医学研究理事会;
关键词
GLOBAL LAND-COVER; TRANSMITTED HELMINTH INFECTIONS; SCHISTOSOMA-MANSONI; VECTOR-BORNE; ECHINOCOCCUS TRANSMISSION; ALVEOLAR ECHINOCOCCOSIS; POSITIONAL UNCERTAINTY; ENVIRONMENTAL-CHANGES; INFORMATION-SYSTEMS; SATELLITE IMAGERY;
D O I
10.1371/journal.pntd.0004164
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Earth observation (EO) is the use of remote sensing and in situ observations to gather data on the environment. It finds increasing application in the study of environmentally modulated neglected tropical diseases (NTDs). Obtaining and assuring the quality of the relevant spatially and temporally indexed EO data remain challenges. Our objective was to review the Earth observation products currently used in studies of NTD epidemiology and to discuss fundamental issues relating to spatial data quality (SDQ), which limit the utilization of EO and pose challenges for its more effective use. We searched Web of Science and PubMed for studies related to EO and echinococossis, leptospirosis, schistosomiasis, and soil-transmitted helminth infections. Relevant literature was also identified from the bibliographies of those papers. We found that extensive use is made of EO products in the study of NTD epidemiology; however, the quality of these products is usually given little explicit attention. We review key issues in SDQ concerning spatial and temporal scale, uncertainty, and the documentation and use of quality information. We give examples of how these issues may interact with uncertainty in NTD data to affect the output of an epidemiological analysis. We conclude that researchers should give careful attention to SDQ when designing NTD spatial-epidemiological studies. This should be used to inform uncertainty analysis in the epidemiological study. SDQ should be documented and made available to other researchers.
引用
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页数:24
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