Sec. Public Health Education and Promotion
Volume 2 - 2014 | https://doi.org/10.3389/fpubh.2014.00224
Public health in the twenty-first century: the role of advanced technologies
- 1Robert Stempel College of Public Health and Social Work, Florida International University, Miami, FL, USA
- 2College of Business, Florida Atlantic University, Boca Raton, FL, USA
Nanotechnology and Public Health
What is Nanotechnology?
Nanotechnology is the science, which involves the design, synthesis and application of materials and devices, which have smallest functional organization on the nanometer scale in at least one dimension (3). According to Pautler and Brenner, “the most widely accepted definition of scale for nanotechnology is 1–100 nm” (4). For the purposes of advancing public health, there are several advantages to engineering materials on such a small scale. For example, using “nanomedicine” approaches allows researchers to apply drug therapies to human cancer cells with previously unachievable accuracy and fewer treatment related adverse effects (4). Other examples include biomedical technology that can monitor patient’s metabolic systems from inside the body, and nano-engineered bone prostheses that could be implanted with the highest achievable precision (5). Thus, the use of such complex medical technologies with individual based approaches could significantly improve population health over time with indirect advantages to public health.
Nanotechnology in Public Health
Protecting the Human Right to Clean Water
One specific use of nanotechnology, which can improve public health, is environmental nanotechnology, which can produce clean and safe drinking water for human consumption and use. In the modern world, availability of water continues to be a problem on an international level due to factors like global warming, drought, and unprecedented population growth (6). For example, nanotechnology can be used to make water-testing sensors to purify water for safe consumption (5–7). This can improve public health on a global level by reducing the numbers of people harmed or killed by health problems associated with unsanitary water (7). Furthermore, safe drinking water can help primary education in several developing countries in Africa, Asia, and Latin America, where children are often unable to attend schools due to the lack of clean water sources (7).
Reducing the Global Disease Burden
Nanotechnology could also improve public health through advanced drug administration strategies. For example, there are many cancer-fighting drugs such as Abraxane® (for breast cancer) and Doxil® (for ovarian cancer), which are “nanoenabled” and have already been approved by the Food and Drug Administration (FDA) (4). Nanotechnology is also being used to manufacture single dose regimens of hepatitis B vaccine with better penetrance and immune activation profiles compared to the currently administrated four dose regimen. This can be considered a major advance in public health because many more vaccines can be derived with single dose options thereby increasing compliance and effectiveness (4).
Nanotechnology is already being used for manufacturing thousands of consumer products marketed globally. For example, nanoparticles are used in popular sunscreen brands such as Burt’s Bees® and Coppertone® (4). However, there are still questions about the long-term effects of nanotechnology on general health and environment. There are no FDA regulations within the U.S. that govern the use of such materials in consumer products. Many researchers have expressed concerns because safety controls and monitoring systems are lacking for nanotechnological products both within the U.S., and globally (5, 6, 8, 9).
Artificial Intelligence and Public Health
What is Artificial Intelligence?
Artificial intelligence, often abbreviated as “AI,” is defined as “the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically observable” (10). Broadly speaking, AI involves the creation of “intelligent” systems capable of performing complex data analyses, which are superior to the ones performed by existing data systems without the use of AI.
Artificial Intelligence in Public Health
The use of AI for public health spans back to the 1960s, when professionals from disciplines like computer science, chemistry, and biology began using AI programs in complex medical researches (11). Several researchers convened at the conference Artificial Intelligence in Medicine in Europe (AIME) in 2007 to discuss the role of AI in modern medicine, and their opinions were collectively published in the year 2009 (11). In our opinion, AI can best serve the goals of public health only with cross-disciplinary expansions and collaborations. This entails not only the development of computer science but also incorporating advancements from fields like epidemiology, biology, genetics, modern medicine, and public health policy.
Artificial Intelligence in Disease Surveillance
According to Neill (12), public health surveillance may be defined as “the process of detecting, characterizing, tracking, and responding to disease outbreaks, other health threats (such as a bioterrorist attack, radiation leak, or contamination of the food or water supply), and other patterns relevant to the health of populations (such as obesity, drug abuse, mental health, or malnutrition).” This type of surveillance is conducted at multiple levels, ranging from local community levels all the way up to global community health settings (12, 13). It also spans across several types of public and private entities such as government agencies, healthcare clinics, hospitals, pharmacies, and health corporations (13).
National Institutes of Health in the U.S. has several ongoing studies targeting the use of AI for improving surveillance of both communicable and non-communicable diseases (13). Modern disease surveillance systems use AI to help automate the process of disease surveillance so that there is less reliance on human labor; to make the process more expedited so that real-time and predictive surveillance can occur; to allow for data to come from a much wider variety of sources than traditional systems; and to allow the results of such data to be disseminated to public health officials and the general public on a wider and faster basis (14). A new type of system has emerged specifically for using digital data to improve public health surveillance. This has been referred to as “digital surveillance” and it “attempts to provide knowledge of public health issues by analysis of health information stored digitally, and the distribution and patterns governing access to these data” (15). Data gathered from Internet sources used to feed a digital surveillance system is one such advancement. Milinovich et al. (15) offer many examples of such Internet-based health surveillance systems. These include tracking communicable and non-communicable diseases, mental health trends, illegal drug use trends, and the impact of health policies. Disease surveillance systems using AI can help in tracking health issues as they occur and predict health issues in the future. For example, one such system was able to predict a rise in U.S. flu cases approximately 1–3 weeks before they occurred and was based on Yahoo search queries for related health information variables (16). In addition to data from search engines, data from social media have also been used to feed digital surveillance systems. For example, Lee et al. (17) built a flu and cancer surveillance system, which relies on Twitter data to give real time estimates of trends such as severity of disease, progression, symptoms being experienced, and treatments being implemented.
There is significant evidence to state that Internet-based disease surveillance systems offer advantages over traditional disease surveillance systems. Traditional disease surveillance systems are typically fed by data from public health officials working in hospitals and agency settings, whereas Internet-based systems can offer more data over different, and oftentimes larger population segments (16). Systems such as “Google Flu Trends” have predicted flu outbreaks earlier than traditional disease surveillance systems. However, there are some disadvantages to these systems as well because it relies on data provided by people who have access to Internet and use it for health information. In spite of advanced web delivery options, Internet use continues to be low in many underdeveloped and developing nations. Also, there are privacy concerns over the use of data within these systems (16). While such systems may offer advancements to modern day disease surveillance, Polgreen et al. (16) argues that “they do not have the capacity to replace traditional surveillance systems and they should not be viewed as an alternative, but rather an extension” to traditional disease surveillance systems. Our opinion is that these systems should be integrated into traditional systems in the coming years.
When opining about the future of AI for disease surveillance, Neill states that this field is now experiencing a “major paradigm shift” because compared to the past, today’s surveillance systems are relying on ever increasing volumes of data and data from non-traditional sources like online news feeds and Twitter feeds (12, 15).
There are several other technologies that hold promise for advancing the public health in the twenty-first century. Some of the major ones include mHealth (mobilehealth), virtual reality, biosensors for healthcare, disappearing technology, etc. mHealth is defined as, “the practice of medicine and public health, supported by mobile communication devices for health services and information” (18). mHealth and e-health are widely used in interventions for adult and pediatric obesity (18, 19). Another promising technology includes virtual reality, where a computer generated advanced interface could simulate a real word scenario and communicate the healthcare advice. For example, virtual reality enhanced cognitive behavioral therapy was more effective in weight reduction strategies when compared to other strategies like inpatient multimodal treatment and standard cognitive behavior therapy (20). The use of biosensors could revolutionize public health delivery in the twenty-first century. Micro-miniaturized sensors could be permanently implanted in biological fluids for continuous evaluations of biomedical parameters in diabetes, cancers, and cardiovascular diseases (21). Through the use of yet another modern application known as disappearing technology, public health could expand to dimensions hither to unknown. This technology uses bio/eco-resorbable chips implanted into the body. Though majority of the applications of this technology are currently limited to clinical medicine, public health prospects could be subsequently researched (22).
Table 1 shows how advanced technologies can impact essential public health services.
We think that there should be increased awareness among public health professionals and policy makers about the use of advanced technologies to improve health care and address newer health challenges. This would also lead to improved and widespread implementation of modern technologies. The continued use and advancement of such technologies cannot be isolated within the dimensions of abstract science. It should be directed toward public awareness for increased support and funding. The researchers and practitioners of these technologies rely on the public support, and therefore, these technologies should be oriented toward the public whom they intend to serve. Indeed, Currall et al. (28) have shown that public perceptions about tools, such as nanotechnology, play a vital role in how these technologies progress. They argue that “understanding public sentiment toward any new innovation is pivotal because, historically, public perceptions, and attitudes have shaped the direction and pace of scientific activity in a number of fields.” Today’s populace is very supportive for scientific and technological progress. Thus, we predict that public health will continue to advance into the twenty-first century and take full advantage of today’s popular support. It is clear that dedicated research efforts, driven by public education will establish a megatrends of highest use of technology for improved public health outcomes.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Authors would like to thank Dr. William W. Darrow for his valuable comments and suggestions.
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Keywords: public health, megatrend, twenty-first century, nanotechnology, artificial intelligence
Citation: Rubens M, Ramamoorthy V, Saxena A and Shehadeh N (2014) Public health in the twenty-first century: the role of advanced technologies. Front. Public Health 2:224. doi: 10.3389/fpubh.2014.00224
Received: 28 September 2014; Accepted: 21 October 2014;
Published online: 10 November 2014.
Edited by:Roger A. Harrison, The University of Manchester, UK
Reviewed by:Milka Dančević-Gojković, Public Health Institute of Federation of Bosnia and Herzegovina, Bosnia and Herzegovina
Gianluca Castelnuovo, Università Cattolica del Sacro Cuore, Italy
Copyright: © 2014 Rubens, Ramamoorthy, Saxena and Shehadeh. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.