02129nas a2200205 4500000000100000008004100001653002500042653003200067653001700099653002200116100001100138700002300149700001800172245007800190856007700268300001300345490000600358520154500364022001401909 2015 d10aspatial data quality10aNeglected Tropical Diseases10aEpidemiology10aEarth observation1 aHamm N1 aSoares Magalhaes R1 aClements AC A00aEarth observation, spatial data quality, and neglected tropical diseases. uhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC4683053/pdf/pntd.0004164.pdf ae00041640 v93 a

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.

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