Epidemic Surveillance of Covid-19: Considering Uncertainty and Under-Ascertainment

Peixoto, Vasco Ricoca; Nunes, Carla; Abrantes, Alexandre

doi:10.1159/000507587

Cited by 49 publications

(37 citation statements)

References 11 publications

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“… Quantitative, Follow-up study B 12. Ricoca Peixoto V, et al 2020[ 12 ] To present and discuss early evidence on under-ascertainment of COVID-19 and its motifs, options for surveillance, and reflections around their importance to tailor public health measures. Review D 13.…”

Section: Methodsmentioning

confidence: 99%

“…This surveillance method can be also monitors trends by time and compare between intra-country data [ 13 ]. The challenge facing the application of comprehensive surveillance is the huge cost of testing all suspected cases, considering both the testing capacity, prices, manpower and safety [ 12 ]. So, it is impossible to be applied low income, or developing countries.…”

Section: - Comprehensive Routine Surveillancementioning

confidence: 99%

“…Surveillance can influence the timeliness of policy application, public risk perception and decision making [ 12 ]. All levels of government and healthcare system need detailed and timely information about the availability and shortages of the key resources [ 7 , 12 ]. This can slow Covid-19 growth, or even ending the pandemic [ 24 ].…”

Section: - Event-based Surveillance (29)mentioning

confidence: 99%

“…The testing capacity may be also limited for only severe cases. The clinically detected cases represent only the tip of ice-berg of the actual infected Covid-19 cases [ 12 ]. Furthermore, the generalized under-detection of the imported cases is another limitation.…”

Section: - Event-based Surveillance (29)mentioning

confidence: 99%

“…A study conducted using a susceptible-exposed-infectious-removed (SEIR) model to estimate Covid-19 epidemiological parameters before the implementation of preventive measures in Wuhan, China. Results revealed that if the measures had been started 1, 2, or 3 weeks earlier, the cases could had been reduced by 66%, 86%, and 95%, respectively [ 12 ], These findings magnify the importance of surveillance in controlling Covid-19.…”

Section: Introductionmentioning

confidence: 99%

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Epidemiologic surveillance for controlling Covid-19 pandemic: types, challenges and implications

Ibrahim

2020

Journal of Infection and Public Health

200

167

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The objectives of the study was to determine the types, challenges and implications of surveillance methods for controlling Covid-19 pandemic. An integrative article review was done. The source of data were documents from WHO, Euro-surveillance, CDC, Saudi CDC, MOH, and journals from PubMed, Medline, etc. The inclusion searching criteria were surveillance, Covid-19, types, benefits and challenges, during the period 2005−2020. Published studies, reviews and guidelines that determined these criteria were collected. Data extraction and analysis were completed for all included articles. A critical appraisal was done based on the University of Michigan Practice Guideline’s levels of evidence. The final sample for the integrative review comprised 30 studies. Results revealed that types of Covid-9 surveillance includes routine surveillance (comprehensive, case-based, and aggregated weakly methods), active, wildlife, syndromic, sentinel and sentinel-syndromic methods. Laboratory and hospital-based surveillance are another important types. Help-lines, surveys, participatory electronic, digital and event-based surveillance are relatively new cost-effective methods. Many surveillance indicators can be calculated. Timely and accurate of surveillance data is an essential element for effective Covid-19 interventions. Regarding challenges, the quality of surveillance in developing countries is constrained by resources and training. The main limitations of surveillance are under-ascertainment/under-reporting, lack of timeliness and completeness of surveillance data. In conclusion, surveillance is a cornerstones for controlling Covid-19 pandemic. Enhancing Covid-19 surveillance is vital for rapid cases detection, containing spread & ending pandemic.

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Section: Methodsmentioning

confidence: 99%

Section: - Comprehensive Routine Surveillancementioning

confidence: 99%

Section: - Event-based Surveillance (29)mentioning

confidence: 99%

Section: - Event-based Surveillance (29)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Epidemiologic surveillance for controlling Covid-19 pandemic: types, challenges and implications

Ibrahim

2020

Journal of Infection and Public Health

200

167

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Organisation of the State, model of health system and COVID‐19 health outcomes in six European countries, during the first months of the COVID‐19 epidemic in 2020

Simões

Magalhães

Biscaia³

et al. 2021

Health Planning & Management

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The time and type of the States' responses to the COVID‐19 pandemic varied with the severity of the epidemiological situation, the perceived risk, the political organisation and the model of health system of the country. We discuss the response of Germany, Spain, France, Italy, Portugal and the United Kingdom during the first months of the COVID‐19 epidemic in 2020, considering the political organisation of the country and its health system model. We analyse public health measures implemented to contain or mitigate the pandemic, as well as those related to governance, resources and reorganisation of services, financing mechanisms, response of the health system itself and health outcomes. To measure the burden of COVID‐19, we use several indicators. The adoption of measures, to contain and mitigate epidemic varied in degree and time of adoption. All countries reorganised their governance structure and the provision of care, despite the differences in political models and health systems (ranging from a more unitary and centralised political organisational model—France and Portugal; to a decentralised matrix—Germany, Spain, Italy and the United Kingdom). Rather than the differences in political models and health systems, the explanation for the success in tackling the epidemic seems to lay in other social determinants of health.

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Framework and Model for Surveillance of COVID-19 Pandemic

Prabhu

Subramanyam

2021

Algorithms for Intelligent Systems

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Epidemic Surveillance of Covid-19: Considering Uncertainty and Under-Ascertainment

Cited by 49 publications

References 11 publications

Epidemiologic surveillance for controlling Covid-19 pandemic: types, challenges and implications

Epidemiologic surveillance for controlling Covid-19 pandemic: types, challenges and implications

Organisation of the State, model of health system and COVID‐19 health outcomes in six European countries, during the first months of the COVID‐19 epidemic in 2020

Framework and Model for Surveillance of COVID-19 Pandemic

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