<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Yang SJ</submitter><funding>The Ganzi Prefecture Workgroup Projects for Echinococcosis Prevention and Control, China CDC</funding><funding>the NHC Key Laboratory of Echinococcosis Prevention and Control Project,Supported by the Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences,</funding><funding>the Key R &amp; D Transformation Projects, Qinghai</funding><funding>the Key R &amp;amp; D Transformation Projects, Qinghai</funding><pagination>50</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8042360</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>10(1)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>As a neglected cross-species parasitic disease transmitted between canines and livestock, echinococcosis remains a global public health concern with a heavy disease burden. In China, especially in the epidemic pastoral communities on the Qinghai-Tibet Plateau, the harsh climate, low socio-economic status, poor overall hygiene, and remote and insufficient access to all owned dogs exacerbate the difficulty in implementing the ambitious control programme for echinococcosis. We aimed to design and implement a remote management system (RMS) based on internet of things (IoT) for control and surveillance of echinococcosis by combining deworming devices to realise long-distance smart deworming control, smooth statistical analysis and result display. New methods and tools are urg</pubmed_abstract><journal>Infectious diseases of poverty</journal><pubmed_title>A remote management system for control and surveillance of echinococcosis: design and implementation based on internet of things.</pubmed_title><pmcid>PMC8042360</pmcid><funding_grant_id>2016, 2017, 2018,2019</funding_grant_id><funding_grant_id>2020-SF-133</funding_grant_id><funding_grant_id>2019PT320004</funding_grant_id><pubmed_authors>Xiao N</pubmed_authors><pubmed_authors>Ma JY</pubmed_authors><pubmed_authors>Quzhen GS</pubmed_authors><pubmed_authors>Zhang T</pubmed_authors><pubmed_authors>Yi SC</pubmed_authors><pubmed_authors>Feng Y</pubmed_authors><pubmed_authors>Yu Q</pubmed_authors><pubmed_authors>Yang SJ</pubmed_authors><pubmed_authors>Zhou XN</pubmed_authors><pubmed_authors>Li JZ</pubmed_authors></additional><is_claimable>false</is_claimable><name>A remote management system for control and surveillance of echinococcosis: design and implementation based on internet of things.</name><description>&lt;h4>Background&lt;/h4>As a neglected cross-species parasitic disease transmitted between canines and livestock, echinococcosis remains a global public health concern with a heavy disease burden. In China, especially in the epidemic pastoral communities on the Qinghai-Tibet Plateau, the harsh climate, low socio-economic status, poor overall hygiene, and remote and insufficient access to all owned dogs exacerbate the difficulty in implementing the ambitious control programme for echinococcosis. We aimed to design and implement a remote management system (RMS) based on internet of things (IoT) for control and surveillance of echinococcosis by combining deworming devices to realise long-distance smart deworming control, smooth statistical analysis and result display. New methods and tools are urg</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Apr</publication><modification>2025-04-26T08:22:55.686Z</modification><creation>2022-02-09T15:37:36.33Z</creation></dates><accession>S-EPMC8042360</accession><cross_references><pubmed>33849655</pubmed><doi>10.1186/s40249-021-00833-4</doi></cross_references></HashMap>