Title |
Can Digital Tools Be Used for Improving Immunization Programs?
|
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Published in |
Frontiers in Public Health, March 2016
|
DOI | 10.3389/fpubh.2016.00036 |
Pubmed ID | |
Authors |
Alberto E. Tozzi, Francesco Gesualdo, Angelo D’Ambrosio, Elisabetta Pandolfi, Eleonora Agricola, Pierluigi Lopalco |
Abstract |
In order to successfully control and eliminate vaccine-preventable infectious diseases, an appropriate vaccine coverage has to be achieved and maintained. This task requires a high level of effort as it may be compromised by a number of barriers. Public health agencies have issued specific recommendations to address these barriers and therefore improve immunization programs. In the present review, we characterize issues and challenges of immunization programs for which digital tools are a potential solution. In particular, we explore previously published research on the use of digital tools in the following vaccine-related areas: immunization registries, dose tracking, and decision support systems; vaccine-preventable diseases surveillance; surveillance of adverse events following immunizations; vaccine confidence monitoring; and delivery of information on vaccines to the public. Subsequently, we analyze the limits of the use of digital tools in such contexts and envision future possibilities and challenges. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Korea, Democratic People's Republic of | 1 | 10% |
United States | 1 | 10% |
Denmark | 1 | 10% |
Switzerland | 1 | 10% |
Sweden | 1 | 10% |
Unknown | 5 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 60% |
Practitioners (doctors, other healthcare professionals) | 4 | 40% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Portugal | 1 | <1% |
Unknown | 121 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 26 | 21% |
Researcher | 12 | 10% |
Student > Ph. D. Student | 11 | 9% |
Student > Postgraduate | 9 | 7% |
Student > Bachelor | 6 | 5% |
Other | 21 | 17% |
Unknown | 37 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 24 | 20% |
Computer Science | 13 | 11% |
Nursing and Health Professions | 10 | 8% |
Social Sciences | 7 | 6% |
Biochemistry, Genetics and Molecular Biology | 5 | 4% |
Other | 21 | 17% |
Unknown | 42 | 34% |