About: Sumiko R. Mekaru

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An Entity of Type : wikibase:Item, within Data Space : wikidata.demo.openlinksw.com associated with source document(s)

veterinarian and epidemiologist

Attributes	Values
rdf:type	Item
description	Forscher (de) 연구원 (ko) investigador (es) araştırmacı (tr) chercheur (fr) wetenschapper (nl) дослідниця (uk) эрдэмтэн (mn) изилдөөчү (ky) 研究者 (zh) 研究員 (ja) veterinarian and epidemiologist (en)
rdfs:label	Sumiko Mekaru (es) Sumiko Mekaru (nl) Sumiko R. Mekaru (en)
skos:prefLabel	Sumiko Mekaru (es) Sumiko Mekaru (nl) Sumiko R. Mekaru (en)
name	Sumiko Mekaru (es) Sumiko Mekaru (nl) Sumiko R. Mekaru (en)
instance of	wds:Q87836469-2233e7be-438b-4279-af36-24f567f0ffe9
instance of	Homo sapiens
Google Scholar author ID	wds:Q87836469-6dea7c35-4ff3-274b-8d65-48cf61790243
Google Scholar author ID	Jyv8aoQAAAAJ
skos:altLabel	Sumiko Mekaru (en) Sumiko R Mekaru (en) Sumiko R Mekaru (nl)
occupation	wds:Q87836469-EFF9E15B-D709-41F2-B924-CC978B8FF918
X username	wds:Q87836469-e684f3a3-42f6-d52c-922f-edeabd99279c
sex or gender	wds:Q87836469-30874f47-474e-ffcf-d858-99ebe0aaf46f
educated at	wds:Q87836469-4C68CC89-3807-4B1B-887F-B0711DFDC5E5 wds:Q87836469-53EC294C-A021-47CB-B175-13369A5F8DAD
social media followers	wds:Q87836469-6a198dc1-ad97-4a8d-9dda-f3e04609957f wds:Q87836469-b6166a2b-6a13-4511-abc4-f771d5380516
occupation	researcher
X username	sumiko_Mekaru
sex or gender	female organism
educated at	Boston University Tufts University
social media followers	1397 (xsd:decimal)
ORCID iD	wds:Q87836469-39991575-0F99-4F3A-B02A-6C22A9CCEC92
ORCID iD	https://orcid.org/0000-0002-9782-3833
ORCID iD	0000-0002-9782-3833
is owl:sameAs of	Sumiko R. Mekaru
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q87836469
is author of	Participatory epidemiology: use of mobile phones for community-based health reporting The perfect storm of information: combining traditional and non-traditional data sources for public health situational awareness during hurricane response Global database of leishmaniasis occurrence locations, 1960-2012. Influenza A (H7N9) and the importance of digital epidemiology Anticipating the international spread of Zika virus from Brazil Global distribution maps of the leishmaniases Online reporting for malaria surveillance using micro-monetary incentives, in urban India 2010-2011 Mapping the zoonotic niche of Ebola virus disease in Africa Accuracy of epidemiological inferences based on publicly available information: retrospective comparative analysis of line lists of human cases infected with influenza A(H7N9) in China Drivers of Emerging Infectious Disease Events as a Framework for Digital Detection Digital surveillance: a novel approach to monitoring the illegal wildlife trade Information technology and global surveillance of cases of 2009 H1N1 influenza Using clinicians' search query data to monitor influenza epidemics Substandard vaccination compliance and the 2015 measles outbreak Utilizing Nontraditional Data Sources for Near Real-Time Estimation of Transmission Dynamics During the 2015-2016 Colombian Zika Virus Disease Outbreak Surveillance for Neisseria meningitidis Disease Activity and Transmission Using Information Technology Mortality Risk Factors for Middle East Respiratory Syndrome Outbreak, South Korea, 2015. Searching the Web for Influenza Vaccines: HealthMap Vaccine Finder. The Role of Social Mobilization in Controlling Ebola Virus in Lofa County, Liberia Comparison of direct immunofluorescence, immunoassays, and fecal flotation for detection of Cryptosporidium spp. and Giardia spp. in naturally exposed cats in 4 Northern California animal shelters Epidemiological data from the COVID-19 outbreak, real-time case information Predicting social response to infectious disease outbreaks from internet-based news streams Monitoring disease trends using hospital traffic data from high resolution satellite imagery: a feasibility study 2014 ebola outbreak: media events track changes in observed reproductive number Preparing for infectious disease threats at mass gatherings: the case of the Vancouver 2010 Olympic Winter Games Modeling to predict cases of hantavirus pulmonary syndrome in Chile Comparing timeliness, content, and disease severity of formal and informal source outbreak reporting Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks Global Capacity for Emerging Infectious Disease Detection, 1996–2014 Vaccine compliance and the 2016 Arkansas mumps outbreak Online surveillance of media health event reporting in Nepal: digital disease detection from a One Health perspective Yellow fever vaccination coverage heterogeneities in Luanda province, Angola Epidemiological inferences using public information, influenza H7N9epidemic in China. MoH+: A Global, Integrated, and Automated View of Official Outbreak Reporting Development of a Vietnamese Language Outbreak Mapping and Surveillance System
is author of	wds:Q30741657-1FF9EDF3-FD53-4722-BF06-5E5DAC77D1F1 wds:Q28646119-F93E76DC-97CC-4C8B-A217-3906A04D7F42 wds:Q35628776-8C50F39A-80C9-4FF3-942B-7B8C9FC66664 wds:Q43223324-52584E90-8403-4ED9-8A31-08E78618A676 wds:Q28652458-0124AC71-07C2-4131-B37D-3F1DDCC90CD6 wds:Q24289616-05728989-8E6B-4E57-970A-6C1CB426C45D wds:Q24289616-6C34960D-DBF1-4ABE-AC01-E2A7BBC003D3 wds:Q28710380-F0E54806-29B7-4F09-AA9A-ACE72A8DD94D wds:Q28744399-25DD353A-6A81-4434-B3FC-25A29D801423 wds:Q35766750-1BD8250A-8284-4185-B630-0BDDC9EFD4B1 wds:Q33753833-37911585-31DF-4BE6-90F7-B1C30D454E56 wds:Q35156997-3CBC692F-DD1C-4761-8516-B0F5858D157B wds:Q40121746-20542800-520F-45BD-8165-00F66C3EAD86 wds:Q35204216-FDB09B2F-858A-4800-B67C-E3B11450DEBB wds:Q40086995-44C12D05-2C35-4468-A157-C054654774A3 wds:Q41691097-AC6DE56E-EF16-459C-B412-CADBC2918F8B wds:Q28749657-18C7FC3C-B0ED-466B-885E-900ECDBE0915 wds:Q30842248-BE2D4A67-7052-4F2A-8791-75236579B473

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