2021
DOI: 10.1016/j.vaccine.2021.01.021
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Application of the Geographic Information System (GIS) in immunisation service delivery; its use in the 2017/2018 measles vaccination campaign in Nigeria

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Cited by 9 publications
(9 citation statements)
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“… [91] , [113] , [129] , [135] Using real-time performance data 4 Using real-time performance data improved coverage of vaccination campaigns (e.g., leveraging existing polio reporting structures; analyzing and report daily campaign data; providing feedback). [99] , [129] , [136] , [137] Coordinating campaign group members 1 Using WhatsApp for campaign group members improved planning, coordination, and data sharing. [79] a Ardo are leaders in Fulani (typically nomad) sociocultural settings.…”
Section: Resultsmentioning
confidence: 99%
“… [91] , [113] , [129] , [135] Using real-time performance data 4 Using real-time performance data improved coverage of vaccination campaigns (e.g., leveraging existing polio reporting structures; analyzing and report daily campaign data; providing feedback). [99] , [129] , [136] , [137] Coordinating campaign group members 1 Using WhatsApp for campaign group members improved planning, coordination, and data sharing. [79] a Ardo are leaders in Fulani (typically nomad) sociocultural settings.…”
Section: Resultsmentioning
confidence: 99%
“…Across the studies, a range of techniques were implemented as sensitivity analyses for the derived HFCA. These included deriving several HFCA for the same study area while using different; i) methods [23,34,59], ii) assumptions on healthcare-seeking behaviour [38], iii) population thresholds [80], iv) travel speed [71,88], v) radii for the buffer approach [54,73], vi) several teams validating the generated HFCA [81], and vii) using information criterion to select the best statistical model [35]. Finally, AccessMod and ArcMap were the most used software to derive HFCA.…”
Section: Resultsmentioning
confidence: 99%
“…Overall, in SSA, there is a scarcity of geocoded data on patients' residential addresses linked with the facility where care was sought which is the gold standard in defining a HFCA (Table 2). As a result, only six studies utilized such data [8][9][10]12,[83][84][85][86][87], while six other studies either relied on MoH-derived HFCA [26,28,36] or used participatory GIS to collect data needed to delineate spatial extents of HFCAs [13,[80][81][82]. The rest of the approaches used a variety of methods, with varying degrees of representativeness to delineate HFCA Three commonly used approaches; administrative boundaries, buffers, and Thiessen polygons are limited because they oversimplify socio-demographic, epidemiological and health-seeking characteristics of communities when deriving HFCA (Table 1).…”
Section: Discussionmentioning
confidence: 99%
“…Specifically, GIS mapping was used to geo-locate population centres to inform the positioning of fixed-sites for the campaign, and resulted in a reduction in the number of wards with zero vaccination coverage by comparison with states where standard population estimation approaches were used. The mechanisms by which this intervention were thought to have worked included [i] more accurate enumeration of target populations especially in the context of ongoing population movement, and [ii] a clearer view of ward boundaries than conventional (hand-drawn) approaches – both of which improved microplanning accuracy (65). The second study looked at the use of rapid monitoring approaches to gauge coverage and help improve campaign targeting in post-earthquake Haiti (66).…”
Section: Resultsmentioning
confidence: 99%