Surveillance methods, such as satellites and video cameras, are commonly used in San Mateo CA to carry out surveillance. Other examples include the use of a Remote Surveillance Trailer in San Mateo CA, remote listening devices, flying drones, infrared goggles, and locator beacons. Infrared goggles are particularly useful for officers conducting investigations at night. In San Mateo CA, computer surveillance often involves monitoring data and Internet traffic.
In the United States, for example, under the Law Enforcement Communications Assistance Act, all telephone calls and broadband Internet traffic (emails, web traffic, instant messaging, etc.) There is too much data on the Internet for human researchers to search for it manually. Therefore, automated Internet surveillance computers examine the enormous amount of intercepted Internet traffic to identify and inform human researchers about traffic that is considered interesting or suspicious. This process is regulated by focusing on certain trigger words or phrases, visiting certain types of websites, or communicating via email or online chat with suspicious individuals or groups. Agencies, such as the NSA, the FBI and the now defunct Office of Information Awareness, spend billions of dollars a year to develop, purchase, implement and operate systems such as Carnivore, NarusInsight and ECHELON to intercept and analyze all of this data and extract only the information that is useful to intelligence and law enforcement agencies. The purpose of the SSNA algorithm program is to extend social network analysis techniques to help distinguish potential terrorist cells from legitimate groups of people.
To be successful, the SSNA will need information about the social interactions of most people around the world. Since the Department of Defense cannot easily distinguish between peaceful citizens and terrorists, it will be necessary for them to collect data on innocent civilians and on potential terrorists. Aerial surveillance is the collection of surveillance data, usually visual images or videos, from an airborne vehicle, such as an unmanned aerial vehicle, helicopter, or spy plane. Military surveillance aircraft use a series of sensors (e.g., reverse surveillance is the practice of reversing the surveillance of other individuals or groups) (e.g., well-known examples include George Holliday's recording of the beating of Rodney King) and the organization Copwatch, which attempts to monitor police officers to prevent police brutality. Counter-surveillance can also be used in applications to prevent corporate espionage or to track other criminals by certain criminal entities. It can also be used to prevent harassment methods used by various entities and organizations.
For example, police can use surveillance cameras to monitor a busy public area for suspicious behavior, or private investigators can track a person's activities as part of a case. The goal is always to anticipate potential problems and keep people and places safe. When a news publication reports that COVID cases have fallen by a certain percentage or that there has been a recent increase in preventable deaths from the flu, where does that data come from? The answer is as important as it is intriguing. In fact, the data are the result of an actively functioning public health surveillance system. Public health surveillance is an ongoing systematic process that effectively collects, compiles, analyzes and disseminates data relevant to public health.
Having a reliable and effective public health surveillance system is of paramount importance. It provides essential information related to public health risk assessment and the most current monitoring data for diseases, viruses and other potential threats. The more data collected through this type of system, the better able government health agencies and other emergency response teams can coordinate their strategy to contain the problem. Obtaining vital surveillance data is by no means a simple process, and government health agencies are constantly striving to improve it.
To fully understand what public health surveillance is, the system must be broken down into its individual parts. Each part has a specific objective or outcome, allowing the system to refine data and reveal meaningful information. Understanding how each part of the system connects to the next is the best way to get a holistic view of public health surveillance. Public health surveillance is what represents the first phase of the general approach to public health. It is a system for collecting patient records and data that helps in the study of infectious diseases. The World Health Organization (WHO) and the CDC are the two main agencies that use this type of system; however, there are other public health institutions that collect data from state and local health departments for analysis and interpretation.
Institutions that oversee public health use databases and automated electronic notification systems that effectively track, monitor and collect data related to specific diseases. Examples of diseases being monitored include influenza, COVID-19 and its variants, HIV, AIDS, and whooping cough. Surveillance systems are made possible by the cooperation of state and local health departments, as well as hospitals, private offices and other healthcare providers that report cases of diseases. Of course, the law requires them to do so, but that doesn't minimize the value of the role these providers play in collecting critical public health data.
Having large samples of recent and reliable data through disease records allows health agencies to do their jobs effectively. This involves tracing the location and date of each case, mitigating the spread of outbreaks, and developing and executing prevention and intervention plans. In addition, the data can be used to make informed projections by studying the patterns and trends found in them. It is also worth noting that the validity of surveillance data is statistically greater than that of data collected through surveys, because the data comes directly from patient records, diagnoses and laboratory tests.
Public health surveillance is the systematic and continuous collection, analysis and interpretation of health-related data. To be effective, the system must meet the following 10 key attributes. The goal of any public health surveillance system is to represent each attribute in a solid way. If this is achieved, it means that the system has the highest chance of delivering useful, accurate, and actionable data. However, one or two poor attributes can hamper the entire system.
For example, a system that is strong in all 10 attributes, except for stability, will have long periods of interruption due to failures and other errors. In turn, the image created by the data will be fragmented. Public health surveillance provides meaningful information and actionable data to those working to track and contain potential public health problems. What are the uses of surveillance data? According to the CDC, the following are some of the primary uses, including some measures that can be taken due to public health surveillance. Public health surveillance is divided into two main categories: passive and active.
Passive surveillance is the status quo of public health surveillance. It is ongoing and is not linked to any specific research or to a large scale public health threat. In passive surveillance, the health care provider takes the initiative to file a report following a list of notifiable diseases published by their state's health department. A health agency waits for these reports to be submitted and collects the data to study and analyze them. Passive surveillance is simple and affordable, but it's also less comprehensive than active surveillance.
As part of active surveillance, regular contact is made with potential informants to report on specific diseases or viruses. It is often used to validate data that appears in passive notifications, or it can be used in conjunction with specific epidemiological research. Active systems are often used for short periods or for specific purposes, such as during the investigation of outbreaks or seasonal events such as the flu. The results of an active surveillance system are more comprehensive, but its operation is also more expensive. Given this definition of the nature and uses of public health surveillance, it will make more sense to break down the typical components of the surveillance process.
The five phases of the monitoring process are as follows. Once it has been clearly determined how the data will be captured, how it will be used and other related factors, the next step in the public health surveillance process is the analysis of the data. For the second phase of the process to move forward, the first stage of data collection must have been effective. Otherwise, it's not worth analyzing the data.
The first to fourth phases of the public health surveillance process culminate in the final phase: the link to action. The link to action phase determines what must be done to mitigate the spread of public health threats, often with the goal of containing them. Some examples may include the distribution of a certain medication, a change in behavior, social (physical) distancing, or other methods. If a link to the action fails or is insufficient, it usually means that something was not done correctly in the first through fourth phases.
Public health surveillance continues to evolve as the system is refined and technology advances. A big advantage of advancing technology is our current ability to collect terabytes of public health data compared to the small sample sizes we had before the Internet. Big data in public health will continue to play an increasing role in the way in which public health surveillance data is collected and then analyzed, interpreted and they disseminate. According to Accenture, the COVID-19 pandemic revealed significant gaps in the public health surveillance system and its methods.
This has motivated CDC to redouble its efforts to make the surveillance process more reliable in terms of connectivity, more resilient to interruptions, and more adaptable and ready to respond. By modernizing the way public health data is monitored and reported through the Data Modernization Initiative (DMI), officials hope to develop the public health surveillance system to achieve something more similar to levels of real-time collection with very few delays and interruptions in connectivity. Just as Internet speeds increased when moving from a telephone connection to broadband, the DMI aims to achieve similar advances when it comes to public health data and at the speed at which it is being reported. Given the enormous amount of sensitive health data being reported and collected by CDC, WHO and other public health-related organizations, some may wonder about the legal and ethical considerations of surveillance initiatives.
Article 12 of the 12 Amendments to the Constitution of the United States states: “Powers not delegated to the United States by the Constitution, nor prohibited by it to the States, are reserved to the States, respectively, or to the people. The interpretation of the article is that legal authority in matters of public health, including surveillance, lies with the states. However, the federal government is responsible for promoting the general well-being of individuals. The federal government has authority over interstate commerce, which means that the CDC can respond when a disease has interstate implications that affect the country's overall well-being. Otherwise, a state must normally invite CDC to participate in research or to carry out surveillance activities within state boundaries, based on notifiable disease reporting systems.
These declarable disease systems are mandated by legislators through state law. In some states, legislators give the state health official the authority to order reporting on a specific illness or condition. Public health surveillance, while complex, is essential for providing reliable and critical information related to diseases and viruses to appropriate parties. What the CDC and the World Health Organization do with this public health information ultimately serves to create a response to problems such as COVID-19, HIV and other major public health threats.
Accenture, “Building Next Generation BMJ Public Health Surveillance Journals,” Glossary for Public Health Surveillance in the Age of Data Science, Centers for Disease Control and Prevention, Introduction to Public Health Surveillance, Centers for Disease Control and Prevention, Public Health Series 101, National Library of Medicine, Health Surveillance, World Health Organization, Disease Surveillance, World Health Organization, World Health Organization, World Health Organization, Global Influenza Surveillance and Response System ( GISRS) Emergencies World Health Organization, WHO Global Surveillance and Monitoring System. An excellent example of outdoor surveillance is remote sensing technology, which is rapidly improving. Until recently, the spatial resolution of these sensors wasn't good enough to see or track people, but now there are several companies and government agencies that offer air and space sensors that can easily track people and cars. Some commercial systems can track all the people and cars in a city over the course of hours, and military and government systems are much better. Military-level surveillance techniques can even be applied to, for example, detaining suspected criminals in American cities or tracking literally thousands of cars at the same time as they drive through city streets.