<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Ngatu, Nlandu Roger</style></author><author><style face="normal" font="default" size="100%">Muzembo, Basilua Andre</style></author><author><style face="normal" font="default" size="100%">Choomplang, Nattadech</style></author><author><style face="normal" font="default" size="100%">Kanbara, Sakiko</style></author><author><style face="normal" font="default" size="100%">Wumba, Roger</style></author><author><style face="normal" font="default" size="100%">Ikeda, Mitsunori</style></author><author><style face="normal" font="default" size="100%">Mbelambela, Etongola Papy</style></author><author><style face="normal" font="default" size="100%">Muchanga, Sifa Marie-Joelle</style></author><author><style face="normal" font="default" size="100%">Suzuki, Tomoko</style></author><author><style face="normal" font="default" size="100%">Wada, Koji</style></author><author><style face="normal" font="default" size="100%">Al Mahfuz, Hasan</style></author><author><style face="normal" font="default" size="100%">Sugishita, Tomohiko</style></author><author><style face="normal" font="default" size="100%">Miyazaki, Hiroyuki</style></author><author><style face="normal" font="default" size="100%">Ikeda, Shunya</style></author><author><style face="normal" font="default" size="100%">Hirao, Tomohiro</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Malaria rapid diagnostic test (HRP2/pLDH) positivity, incidence, care accessibility and impact of community WASH Action programme in DR Congo: mixed method study involving 625 households</style></title><short-title><style face="normal" font="default" size="100%">Malaria Journal</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2021</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2021/02/27</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://doi.org/10.1186/s12936-021-03647-9</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">20</style></volume><pages><style face="normal" font="default" size="100%">117</style></pages><isbn><style face="normal" font="default" size="100%">1475-2875</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Malaria is one of the most prevalent and deadliest illnesses in sub-Saharan Africa. Despite recent gains made towards its control, many African countries still have endemic malaria transmission. This study aimed to assess malaria burden at household level in Kongo central province, Democratic Republic of Congo (DRC), and the impact of community participatory Water, Sanitation and Hygiene (WASH) Action programme.</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Sritart, Hiranya</style></author><author><style face="normal" font="default" size="100%">Miyazaki, Hiroyuki</style></author><author><style face="normal" font="default" size="100%">Kanbara, Sakiko</style></author><author><style face="normal" font="default" size="100%">Hara, Takashi</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Methodology and Application of Spatial Vulnerability Assessment for Evacuation Shelters in Disaster Planning</style></title><secondary-title><style face="normal" font="default" size="100%">Sustainability</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2020</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.mdpi.com/2071-1050/12/18/7355</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">12</style></volume><pages><style face="normal" font="default" size="100%">7355</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Evacuation shelters are the most important means for safeguarding people in hazardous areas and situations, and thus minimizing losses, particularly those due to a disaster. Therefore, evacuation shelter assignment and evacuation planning are some of the critical factors for reducing vulnerability and increasing resilience in disaster risk reduction. However, an imbalance of shelter distribution and spatial heterogeneity of a population are the critical issues limiting the accessibility of evacuation shelters in real situations. In this study, we propose a methodology for spatial assessment to reduce vulnerability and evaluate the spatial distribution of both shelter demand and resources, considering spatial accessibility. The method was applied to the case study of Mabi, in the context of a disaster caused by the 2018 flooding. We applied this approach to evaluate the area and identified the vulnerability of the evacuation shelters and the residents. The proposed method revealed that 54.55% of the designated evacuation shelters and 59% of the total population were physically vulnerable to the flood. The results highlight, using GIS maps, that the total shelter capacity was significantly decreased to 43.86%. The outcome assessment addressed specific vulnerable shelters and the imbalance between the demand for and resources of each shelter. Accordingly, this study provides practical information and a valuable reference for supporting local governments and stakeholders to improve future disaster planning, prevention, and preparedness.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">N. Lakmal Deshapriya</style></author><author><style face="normal" font="default" size="100%">Matthew N. Dailey</style></author><author><style face="normal" font="default" size="100%">Manzul Kumar Hazarika</style></author><author><style face="normal" font="default" size="100%">Hiroyuki Miyazaki</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Vec2Instance: Parameterization for Deep Instance Segmentation</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2020</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Weng, Qihao</style></author><author><style face="normal" font="default" size="100%">Gamba, Paolo</style></author><author><style face="normal" font="default" size="100%">Mountrakis, Giorgos</style></author><author><style face="normal" font="default" size="100%">Pesaresi, Martino</style></author><author><style face="normal" font="default" size="100%">Lu, Linlin</style></author><author><style face="normal" font="default" size="100%">Kemper, Thomas</style></author><author><style face="normal" font="default" size="100%">Heinzel, Johannes</style></author><author><style face="normal" font="default" size="100%">Xian, George</style></author><author><style face="normal" font="default" size="100%">Jin, Huiran</style></author><author><style face="normal" font="default" size="100%">Miyazaki, Hiroyuki</style></author><author><style face="normal" font="default" size="100%">Xu, Bing</style></author><author><style face="normal" font="default" size="100%">Quresh, Salman</style></author><author><style face="normal" font="default" size="100%">Keramitsoglou, Iphigenia</style></author><author><style face="normal" font="default" size="100%">Ban, Yifang</style></author><author><style face="normal" font="default" size="100%">Esch, Thomas</style></author><author><style face="normal" font="default" size="100%">Roth, Achim</style></author><author><style face="normal" font="default" size="100%">Elvidge, Christopher D.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Urban Observing Sensors</style></title><secondary-title><style face="normal" font="default" size="100%">Global Urban Monitoring and Assessment through Earth Observation</style></secondary-title><tertiary-title><style face="normal" font="default" size="100%">Remote Sensing Applications Series</style></tertiary-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2014</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://dx.doi.org/10.1201/b17012-6</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">CRC Press</style></publisher><pages><style face="normal" font="default" size="100%">49-80</style></pages><isbn><style face="normal" font="default" size="100%">978-1-4665-6449-7</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><notes><style face="normal" font="default" size="100%">doi:10.1201/b17012-6</style></notes></record></records></xml>