Finding inhabited settlements and tracking vaccination progress: the application of satellite imagery analysis to guide the immunization response to confirmation of previously-undetected, ongoing endemic wild poliovirus transmission in Borno State, Nigeria.

IF 3 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Jeff Higgins, Usman Adamu, Kehinde Adewara, Adeshina Aladeshawe, Aron Aregay, Inuwa Barau, Andrew Berens, Omotayo Bolu, Nina Dutton, Nnaemeka Iduma, Bryant Jones, Brian Kaplan, Sule Meleh, Melton Musa, Gatei Wa Nganda, Vincent Seaman, Anupma Sud, Stephane Vouillamoz, Eric Wiesen
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引用次数: 17

Abstract

Background: Four wild polio-virus cases were reported in Borno State, Nigeria 2016, 1 year after Nigeria had been removed from the list of polio endemic countries by the World Health Organization. Resulting from Nigeria's decade long conflict with Boko Haram, health officials had been unable to access as much as 60% of the settlements in Borno, hindering vaccination and surveillance efforts. This lack of accessibility made it difficult for the government to assess the current population distribution within Borno. This study aimed to use high resolution, visible band satellite imagery to assess the habitation of inaccessible villages in Borno State.

Methods: Using high resolution (31-50 cm) imagery from DigitalGlobe, analysts evaluated the habitation status of settlements in Borno State identified by Nigeria's Vaccination Tracking System. The analysts looked at imagery of each settlement and, using vegetation (overgrowth vs. cleared) as a proxy for human habitation, classified settlements into three categories: inhabited, partially abandoned, and abandoned. Analysts also classified the intact percentage of each settlement starting at 0% (totally destroyed since last assessment) and increasing in 25% intervals through 100% (completely intact but not expanded) up to 200+% (more than doubled in size) by looking for destroyed buildings. These assessments were then used to adjust previously established population estimates for each settlement. These new population distributions were compared to vaccination efforts to determine the number of children under 5 unreached by vaccination teams.

Results: Of the 11,927 settlements assessed 3203 were assessed as abandoned (1892 of those completely destroyed), 662 as partially abandoned, and 8062 as fully inhabited as of December of 2017. Comparing the derived population estimates from the new assessments to previous assessment and the activities of vaccination teams shows that an estimated 180,155 of the 337,411 under five children who were unreached in 2016 were reached in 2017 (70.5% through vaccination efforts in previously inaccessible areas, 29.5% through displacement to accessible areas).

Conclusions: This study's methodology provides important planning and situation awareness information to health workers in Borno, Nigeria, and may serve as a model for future data gathering efforts in inaccessible regions.

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寻找有人居住的定居点和跟踪疫苗接种进展:应用卫星图像分析来指导免疫反应,以确认尼日利亚博尔诺州以前未发现的、正在发生的地方性野生脊髓灰质炎病毒传播。
背景:在尼日利亚被世界卫生组织从脊髓灰质炎流行国家名单中除名一年后,2016年在尼日利亚博尔诺州报告了4例野生脊髓灰质炎病毒病例。由于尼日利亚与博科圣地长达十年的冲突,卫生官员无法进入博尔诺州多达60%的定居点,阻碍了疫苗接种和监测工作。由于缺乏可达性,政府难以评估博尔诺州目前的人口分布。本研究旨在使用高分辨率可见光波段卫星图像来评估博尔诺州无法进入的村庄的居住情况。方法:利用来自DigitalGlobe的高分辨率(31-50厘米)图像,分析人员评估了尼日利亚疫苗接种跟踪系统确定的博尔诺州定居点的居住状况。分析人员查看了每个定居点的图像,并使用植被(过度生长与清除)作为人类居住的代表,将定居点分为三类:有人居住、部分废弃和废弃。分析人员还通过寻找被摧毁的建筑物,将每个定居点的完整百分比从0%(自上次评估以来完全被摧毁)开始分类,并以25%的间隔增加,从100%(完全完好但未扩展)到200%以上(面积增加了一倍以上)。然后利用这些评估来调整以前确定的每个定居点的人口估计数。将这些新的人口分布与疫苗接种工作进行比较,以确定疫苗接种小组未覆盖的5岁以下儿童人数。结果:截至2017年12月,在评估的11,927个定居点中,3203个被评估为废弃(其中1892个被完全摧毁),662个被部分废弃,8062个被完全居住。将新评估得出的人口估计数与以前的评估和疫苗接种小组的活动进行比较,结果表明,在2016年未获得疫苗接种的337,411名五岁以下儿童中,估计有180155人在2017年获得了疫苗接种(70.5%通过在以前无法到达的地区开展疫苗接种工作,29.5%通过流离失所到可到达的地区)。结论:本研究的方法为尼日利亚博尔诺州的卫生工作者提供了重要的规划和情况意识信息,并可作为未来在交通不便地区开展数据收集工作的模型。
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来源期刊
International Journal of Health Geographics
International Journal of Health Geographics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH -
CiteScore
10.20
自引率
2.00%
发文量
17
审稿时长
12 weeks
期刊介绍: A leader among the field, International Journal of Health Geographics is an interdisciplinary, open access journal publishing internationally significant studies of geospatial information systems and science applications in health and healthcare. With an exceptional author satisfaction rate and a quick time to first decision, the journal caters to readers across an array of healthcare disciplines globally. International Journal of Health Geographics welcomes novel studies in the health and healthcare context spanning from spatial data infrastructure and Web geospatial interoperability research, to research into real-time Geographic Information Systems (GIS)-enabled surveillance services, remote sensing applications, spatial epidemiology, spatio-temporal statistics, internet GIS and cyberspace mapping, participatory GIS and citizen sensing, geospatial big data, healthy smart cities and regions, and geospatial Internet of Things and blockchain.
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