| Literature DB >> 32855090 |
Abstract
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.Entities:
Keywords: COVID-19; Challenges; Implications; Indicators; Pandemic; SARS-CoV-2; Surveillance; Types
Mesh:
Year: 2020 PMID: 32855090 PMCID: PMC7441991 DOI: 10.1016/j.jiph.2020.07.019
Source DB: PubMed Journal: J Infect Public Health ISSN: 1876-0341 Impact factor: 3.718
A summary of reviewed surveillance articles.
| Author, year | Objectives | Methods | Level of evidence |
|---|---|---|---|
| 1. Helmy YA, et al. 2020L. [ | To provide the most recent information about SARS-CoV-2. | Review | D |
| 2. Rodriguez-Morales AJ, et al, 2020. [ | To summarize the clinical, laboratory, and image features, outcome of, risk factors, and comorbidities of COVID-19 confirmed case (from current available observational studies). | A systematic review and meta-analysis | A |
| 3. Schröder I. COVID-19: 2020. [ | To explore why COVID-19 is able to progress to a global pandemic that affects our daily lives to an extent not known in recent history. | Review | D |
| 4. Sohrabi C, et al. 2020[ | To summarize the current state of knowledge surrounding Covid-19 | WHO review | D |
| 5. Kummitha RKR. 2020[ | To determine how governments in China and Western democracies differ in their technological response to control the transmission of the pandemic. | Review | D |
| 6. Bong C–L, et al. 2020. [ | To outline the problems facing all countries in response to Covid-19, especially those with serious economic and health resource challenges, and possible ways to address them. | Review | D |
| 7. Ibrahim NK, Al Bar HM. 2009[ | To assess health facilities' performance and health workers' knowledge of surveillance activities for childhood vaccine-preventable diseases. | Quantitative, cross-sectional analytical study | C |
| 8. Sun K, et al. 2020. [ | To describe efforts to compile and disseminate epidemiological information on COVID-19 from news media and social networks. | Quantitative, Population-level observational study, | C |
| 9. Fan C, et al. 2020[ | To estimate the distribution and scale of the migrants residing in Wuhan after they returned to their hometown communities in Hubei Province or other provinces after the 2019-nCoV outbreak. | Quantitative, Quasi‐experimental analysis | B |
| 10. WHO. 2020. [ | To update Covid-19 case definition, define transmission pattern, revise the definition of a contact and update on global surveillance with aggregated data reporting | Guideline | D |
| 11. Prieto JT, et al. 2017[ | To evaluate the quality and characteristics of electronically collected data, the user acceptability of the symptom reporting platform, and the costs of running the system and of identifying ILI cases, and to use the collected data to characterize cases of reported ILI. | Quantitative, Follow-up study | B |
| 12. Ricoca Peixoto V, et al. 2020[ | 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. ECDC; 2020.[ | To purpose an updated strategy for COVID-19 surveillance at national and EU/EEA level that specifically aims to reconcile the data needs for effective pandemic response with what is still feasible in countries and within healthcare systems under siege, while taking into account guidance issued by the World Health Organization | Report from Euro-surveillance | D |
| 14. WHO. 2020. [ | To provide an overview of surveillance strategies that Member States should consider as part of comprehensive national surveillance for COVID-19. | WHO’s report | D |
| 15. Spiteri G, et al. 2020 [ | To give details about the epidemiology of the first European cases of Covid-19. | Quantitative, Retrospective study | C |
| 16. Pung R, et al. 2020 [ | To report data for the first three clusters of COVID-19 cases in Singapore, the epidemiological and clinical investigations done to ascertain disease characteristics and exposure types. | Quantitative, Prospective cohort | C |
| 17. CDC. 2020 [ | To monitor the spread and intensity of the pandemic, to enable contact tracing to slow transmission, and to identify disease clusters, to understand severity and spectrum of disease, identify risk factors and methods of preventing infection. | CDC’s report | D |
| 18. Pal M, et al. 2020 [ | To update the history, genetics, epidemiology, modes of transmission, pathogenicity, clinical features, laboratory diagnosis, public health implications, economic impact, treatment, control, and prevention of SARS-CoV-2. | Report | D |
| 19. Udugama B. [ | To summarize the current known biological properties of SARS-CoV-2, diagnostic tools and clinical results for detecting SARS-CoV-2, emerging diagnostics, and surveillance technology to curb the spread. | Report | D |
| 20. CDC. 2020. [ | To highlights guidance and recommendations for evaluating and identifying patients who should be tested for COVID-19 | CDC report. | D |
| 21. Zwald ML, et al. 2020 [ | To conduct rapid Sentinel Surveillance for COVID-19 — Santa Clara County, California, March 2020 | Quantitative, Follow up, Experimental study | B |
| 22. de Lusignan S, et al. 2020 [ | To identify whether there is undetected community transmission of COVID-19, estimate population susceptibility, and monitor the temporal and geographical distribution of COVID-19 infection in the community. | Quantitative,Experimental study | B |
| 23. Eurosurveillance 2020. [ | To provide regularly updated information on coronavirus disease-2019 (COVID-19) | Guideline from Eurosurveillance | D |
| 24. Ng Y, et al. 2020. [ | To analyse the first 100 COVID-19 patients in Singapore to determine the effectiveness of the surveillance and containment measures. | Quantitative,Follow-up study (retrospective) | C |
| 25. Saudi MOH, SCDC, 2020. [ | To provide guidance on COVID-19 surveillance in healthcare and community settings and enhance rapid detection of confirmed COVID-19. | Guidelines of Saudi CDC and MOH | D |
| 26. Domeika M, et al. 2009 [ | To present the introduction process of the electronic surveillance system for communicable diseases ULISAS in Lithuania. | Quantitative, Intervention study | B |
| 27. CDC. 2020 (4). [ | To improve public health surveillance builds on prior progress inside and outside CDC. | CDC Review. Booklets series | D |
| 28. Mahmood S, et al. 2020 [ | To provide several cases for infection control, home-based diagnosis and screening, empowerment through information, public health surveillance and epidemiology, and leveraging crowd-sourced data. | Review | D |
| 29. WHO. 2020. [ | To provide an overview of surveillance strategies that member States should consider as part of comprehensive national surveillance for COVID-19. | Guidance document by WHO | D |
| 30. Louis MS. 2012. [ | To propose a vision for improving access to and sharing of data useful for public health surveillance, identify challenges and opportunities, and suggest approaches to attain the vision. | Report arise from MMWR. CDC | D |
Summary of types and characteristics of Covid-19 surveillance.
| 1- Comprehensive (mass) routine surveillance | Complete testing of all suspected cases |
| 2- Case-based routine surveillance | Reporting cases of Covid-19 infection within 48 h of identification |
| 3- Aggregated routine surveillance | Weekly numbers of newly Covid-19 cases, deaths, etc. |
| 4- Active surveillance | Active search & contact tracing |
| 5- Syndromic (clinical) surveillance | Surveillance of health data about the clinical manifestations |
| 6- Sentinel surveillance | Healthcare providers or hospitals are recruited to regularly report Covid-19 data |
| 7- Sentinel syndromic surveillance: | Intergradation of Covid-19 surveillance with sentinel surveillance of ILI or ARI. |
| 8- Virological surveillance | Molecular testing of Covid-19 by PCR. |
| 9- Virological sentinel surveillance | Using clinical specimens obtained through national sentinel surveillance of ILI/ARI/SARI using RT-PCR |
| 10- Population Serological Surveillance | Collecting blood samples from persons coming for a routine blood testing |
| Used to identify risk groups for severe disease, clinical spectrum, measure impact and inform decisions on mitigation measure | |
| 11- Hospital-based surveillance for SARI | |
| 12- Routine surveillance of nosocomial outbreaks and outbreaks in long-term care facilities | |
| 13- Enhanced surveillance of hospitalized cases | |
| 14- Mortality surveillance | |
| 15- Health care surveillance | |
| 16- Surveillance of wildlife | Identification of possible reservoir & human behavioural risk factors |
| Cost- effective new types depending on using media | |
| 17- Help-lines, surveys, participatory surveillance | |
| 18- Electronic reporting systems | |
| 19- Digital surveillance | |
| 20- Event-based surveillance | |