Kumanan Wilson

Dr. Kumanan Wilson

orcid

Research Focus & Metrics

Academic Career Length

30Years (1997-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 January 2010 in Tobacco Induced Diseases
Verified
Journal Article
Open access
EMEdward J Mills
Edward J Mills
PWPing Wu
Ping Wu
ILIan Lockhart
Ian Lockhart
KWKumanan Wilson
Kumanan Wilson
JEJon Ebbert
Jon Ebbert
Background: Nicotine replacement therapy (NRT) is the most common form of smoking cessation pharmacotherapy and has proven efficacy for the treatment of tobacco dependence. Although expectations of mild adverse effects have been observed to be independent predictors of reduced motivation to use...

1 October 2011 in Infection and Drug Resistance
Verified
Journal Article
Open access
KWKumanan Wilson
Kumanan Wilson
TNTrang Nguyen
Trang Nguyen
HHHoldt Henningsen
Holdt Henningsen
JBJamie C Brehaut
Jamie C Brehaut
EHErica Hoe
Erica Hoe
Peer reviewed article authored by (Nguyen T, Holdt Henningsen K, Brehaut JC, Hoe E, Wilson K). Read article or submit your manuscript for publishing.

13 September 2018 in npj Digital Medicine
Verified
Journal Article
Open access
PDF file
KWKumanan Wilson
Kumanan Wilson
CBCameron Bell
Cameron Bell
LWLindsay Wilson
Lindsay Wilson
HWHolly Witteman
Holly Witteman
Mobile health (mHealth) technology is increasingly being used, but academic evaluations supporting its use are not keeping pace. This is partly due to the disconnect between the traditional pharmaceutical approach to product evaluation, with its incremental approach, and the flexible way in which mHealth products are developed. An important step to addressing these problems lies in establishing agile research methods that complement the agile development methodologies used to create modern digital health applications. We describe an mHealth research model that mirrors traditional clinical research methods in its attention to safety and efficacy, while also accommodating the rapid and iterative development and evaluation required to produce effective, evidence-based, and sustainable digital products. This approach consists of a project identification stage followed by four phases of clinical evaluation: Phase 1: User Experience Design, Development, & Alpha Testing; Phase 2: Beta testing; Phase 3: Clinical Trial Evaluation; and Phase 4: Post-Market Surveillance. These phases include sample gating questions and are adapted to accommodate the unique nature of digital product development.

1 February 2018 in Vaccine
Verified
Journal Article
Closed access
LWLindsay Wilson
Lindsay Wilson
TRTaylor Rubens-Augustson
Taylor Rubens-Augustson
MMMalia Murphy
Malia Murphy
CJCindy Jardine
Cindy Jardine
NCNatasha Sarah Crowcroft
Natasha Sarah Crowcroft
KWKumanan Wilson
Kumanan Wilson

13 April 2009 in Canadian Medical Association Journal
Verified
Journal Article
Closed access
PDF file
KWKumanan Wilson
Kumanan Wilson
JBJohn S. Brownstein
John S. Brownstein
Rapidly identifying an infectious disease outbreak is critical, both for effective initiation of public health intervention measures and timely alerting of government agencies and the general public. Surveillance capacity for such detection can be costly, and many countries lack the public health

25 October 2009 in BMC International Health and Human Rights
Verified
Journal Article
Open access
PDF file
DMDavid M Maslove
David M Maslove
AMAnisa Mnyusiwalla
Anisa Mnyusiwalla
EMEdward J Mills
Edward J Mills
JMJessie McGowan
Jessie McGowan
AAAmir Attaran
Amir Attaran
KWKumanan Wilson
Kumanan Wilson
Background: In Africa, an estimated 300-500 million cases of malaria occur each year resulting in approximately 1 million deaths. More than 90% of these are in children under 5 years of age. To identify commonly held beliefs about malaria that might present barriers to its successful treatment and prevention, we conducted a systematic review of qualitative studies examining beliefs and practices concerning malaria in sub-Saharan African countries. Methods: We searched Medline and Scopus (1966-2009) and identified 39 studies that employed qualitative methods (focus groups and interviews) to examine the knowledge, attitudes, and practices of people living in African countries where malaria is endemic. Data were extracted relating to study characteristics, and themes pertaining to barriers to malaria treatment and prevention. Results: The majority of studies were conducted in rural areas, and focused mostly or entirely on children. Major barriers to prevention reported included a lack of understanding of the cause and transmission of malaria (29/39), the belief that malaria cannot be prevented (7/39), and the use of ineffective prevention measures (12/39). Thirty-seven of 39 articles identified barriers to malaria treatment, including concerns about the safety and efficacy of conventional medicines (15/39), logistical obstacles, and reliance on traditional remedies. Specific barriers to the treatment of childhood malaria identified included the belief that a child with convulsions could die if given an injection or taken to hospital (10/39). Conclusion: These findings suggest that large-scale malaria prevention and treatment programs must account for the social and cultural contexts in which they are deployed. Further quantitative research should be undertaken to more precisely measure the impact of the themes uncovered by this exploratory analysis.