Nevertheless, it is evident that the resources help in availing important information for managing these outbreaks through an increased level of situational awareness. The resources help in boosting risk communication information (Digital Resources for Disease Detection, 2013).
Although computer technologies also come with their problems, they have added an important element in the development of public health monitoring. For instance, in the US in 1991, the National Electronics Telecommunications Systems for Surveillance had connected all state health facilities and departments for regular collection, analysis and dissemination of processed data on conditions categorized as notifiable. The country’s CDC started implementing the National Electronic Disease Surveillance Systems in 2001, to manage the huge number of the existing systems for surveillance, and enable the Public Health Services to respond in a faster way to emerging threats. By 2007, 35 states had integrated their public health monitoring systems following the vision by NEDDS. Once NEDDS is implemented fully in the USA, officials from the Public Health section and other professionals in related disciplines will recognize and respond to public health threats faster (Choi, 2012).
France’s Minitel system has sown that office based surveillance is effective in public health matters. Monitoring of public health depends on information systems that include a range of data sources important to influence public health action (Choi, 2012).
According to Chowell et al (2016) news reports from the internet and health bulletins should be used to gather information on cohorts of patients and reconstruct transmission trees and reproduction figures by making use the lessons learnt from Middle East respiratory syndrome as well as the Ebola outbreak. Sources data from the news media can be a fast way to come up with accurate and timely assessment of the chains of transmission; an essential aspect, given the absence of surveillance data with sufficient details. This is the scenario that was witnessed in the Ebola outbreak of 2014. Although the authors used a manual search method, to extract and model information that is relevant, they state that the method can be expanded by scanning internet news and the creation of tools for language processing meant to point out transmission that is sequential. It is evident that the method that uses HealthMap (Harvard School of Public Health, 2016) approaches along with others on the internet could be the lead towards a productive channel for surveillance purposes in middle income and low-income countries. This is particularly true and most warranted in locations with scarce studies on transmission or when there is limited time to act. The apparent undeterred antimicrobial resistance and failure by the global medical experts to monitor the issue in good time has been cited by McFadden et al. The authors talk of Resistance Open, which is an online bacterial drug resistance monitoring platform. It is based on aggregation, analysis and dissemination of local and regional index reports for resistance. The method is a direct offshoot of…
References Brownlee, C. "The Bad Fight: Immune Systems Harmed 1918 Flu Patients." Science News, 30 September 2006, 211+. Grist, N.R. Pandemic Influenza 1918. 2009. Cape Town, South Africa: University of Cape Town. Online. Available from the Internet: http://web.uct.ac.za/depts/mmi/jmoodie/influen2.html, accessed 17 April 2009. Imperato, Pascal James. "America's Forgotten Pandemic. The Influenza of 1918." Journal of Community Health 29, no. 1 (2004): 100+. Irwin, Julia F. "An Epidemic without Enmity: Explaining the Missing Ethnic Tensions in
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