Using satellite imagery and GPS technology to create random sampling frames in high risk environments

Lin, Yihan; Kuwayama, David P.

doi:10.1016/j.ijsu.2016.06.044

Cited by 15 publications

(11 citation statements)

References 5 publications

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“…As Shannon et al [36] stated that, the images from the Google Earth database proved accurate and with a spatial resolution that allowed the interviewers to find themselves quite easily indeed, the scenes were taken from the images of the Digital Globe constellation that offers a metric resolution. Pearson et al [39] and Lin and Kuwayama [40] have also corroborated this state in their random surveys where the method used was also quite inexpensive. In fact, traditional methods of spatial data collection require heavy investments for census mappings prior to any intervention on the ground.…”

Section: Discussionmentioning

confidence: 73%

Using Google Earth™ and Geographical Information System data as method to delineate sample domains for an urban household surveys: the case of Maroua (Far North Region-Cameroon)

et al. 2019

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BackgroundGetting a random household sample during a survey can be expensive and very difficult especially in urban area and non-specialist. This study aimed to test an alternative method using freely available aerial imagery.MethodsA gridded map and random selection method was used to select households for interviews. A hundred numbered of points were put along the edges of an updated map of Maroua. Then two numbers were randomly draw at a time and a line was drawn between those two numbers. A lot of different kinds of shapes of different sizes obtained were numbered. Ten shapes were randomly draw and the one selected were considered as ‘neighbourhoods’. A grid of 30 m × 30 m was drawn over each and then numbered. 202 grids considered here as households were randomly selected from the ten neighbourhoods for interviews.ResultsOut of 202 households visited, only 4 were found to be something other than a house. In addition, 30 sampled households (14.85%) were abandoned or the occupants had relocated elsewhere. This method resulted in an accuracy level of 72%, its advantage is the ability to generate efficient random sample at relatively low cost as well the time required.ConclusionsThe method proposed in this study was efficient and cost-effective when compared to the infield generation of a household inventory or Global Positioning System (GPS) tracking of households. It can then be used by researchers in low-incomes countries where funding for research is a challenge. However, this method needs to train the investigators on how to use the GPS.

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Section: Discussionmentioning

confidence: 73%

Using Google Earth™ and Geographical Information System data as method to delineate sample domains for an urban household surveys: the case of Maroua (Far North Region-Cameroon)

et al. 2019

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“…The use of GNSS as a new tool for epidemiological research was discussed in a variety of articles [ 282 , 275 , 270 , 274 , 280 , 279 , 281 , 287 , 288 , 271 , 269 , 284 , 268 ]. GNSS use was reported to construct random sampling frames for surveys, mapping households, or determining population estimates [ 267 , 278 , 272 , 277 , 273 , 266 , 285 , 289 , 276 ]. The potential future impacts of GPS devices on medicine is discussed in Pager’s article, Impacts for medicine of global monitoring [ 283 ].…”

Section: Resultsmentioning

confidence: 99%

Applications of Space Technologies to Global Health: Scoping Review

Dietrich¹,

Dekova²,

Davy³

et al. 2018

J Med Internet Res

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BackgroundSpace technology has an impact on many domains of activity on earth, including in the field of global health. With the recent adoption of the United Nations’ Sustainable Development Goals that highlight the need for strengthening partnerships in different domains, it is useful to better characterize the relationship between space technology and global health.ObjectiveThe aim of this study was to identify the applications of space technologies to global health, the key stakeholders in the field, as well as gaps and challenges.MethodsWe used a scoping review methodology, including a literature review and the involvement of stakeholders, via a brief self-administered, open-response questionnaire. A distinct search on several search engines was conducted for each of the four key technological domains that were previously identified by the UN Office for Outer Space Affairs’ Expert Group on Space and Global Health (Domain A: remote sensing; Domain B: global navigation satellite systems; Domain C: satellite communication; and Domain D: human space flight). Themes in which space technologies are of benefit to global health were extracted. Key stakeholders, as well as gaps, challenges, and perspectives were identified.ResultsA total of 222 sources were included for Domain A, 82 sources for Domain B, 144 sources for Domain C, and 31 sources for Domain D. A total of 3 questionnaires out of 16 sent were answered. Global navigation satellite systems and geographic information systems are used for the study and forecasting of communicable and noncommunicable diseases; satellite communication and global navigation satellite systems for disaster response; satellite communication for telemedicine and tele-education; and global navigation satellite systems for autonomy improvement, access to health care, as well as for safe and efficient transportation. Various health research and technologies developed for inhabited space flights have been adapted for terrestrial use.ConclusionsAlthough numerous examples of space technology applications to global health exist, improved awareness, training, and collaboration of the research community is needed.

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“…The use of GPS based sampling for surveys in emergency contexts is not uncommon and has been used effectively in insecure environments or where traditional census data is absent to use as a sampling frame for random household selected 19 . The possible limitation around this method is that it favours households located in sparsely populated areas compared to densely populated areas.…”

Section: Discussionmentioning

confidence: 99%

Infectious Disease Risk and Vaccination in Northern Syria after 5 Years of Civil War: The MSF Experience

Pereira¹,

Southgate²,

Ahmed³

et al. 2018

PLoS Curr

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Using satellite imagery and GPS technology to create random sampling frames in high risk environments

Cited by 15 publications

References 5 publications

Using Google Earth™ and Geographical Information System data as method to delineate sample domains for an urban household surveys: the case of Maroua (Far North Region-Cameroon)

Using Google Earth™ and Geographical Information System data as method to delineate sample domains for an urban household surveys: the case of Maroua (Far North Region-Cameroon)

Applications of Space Technologies to Global Health: Scoping Review

Infectious Disease Risk and Vaccination in Northern Syria after 5 Years of Civil War: The MSF Experience

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