Abstract:Objective
Contact tracing is one of the key public health response actions to control the outbreak of a novel virus. This paper describes the preparation process, activation and operational experience for contact tracing of individuals in response to confirmed COVID-19 cases in Wales.
Study design
A descriptive approach has been adopted and lessons learned from our initial public health response to COVID-19 will be used to develop a new operational model for contact tra… Show more
“…A total of 17 lessons, derived from 47 studies [8][9][10]12,15,16,[20][21][22][25][26][27][29][30][31]36,37,43,44,[47][48][49]55,57,58,60,70,[72][73][74][75]77,80,81,87,[101][102][103][104][105][106][107][108][109][110][111][112] and quoted on 167 single occasions, were referred to this pillar: among them, 30 citations referred to AFRO region, 16 to EMRO region, 25 to EURO region, 52 to AMRO region, 29 to SEARO, and 15 to WPRO region (see Figure S3).…”
“…A total of 7 lessons, derived from 59 studies [10,12,[14][15][16][17]20,22,25,30,31,36,37,45,47,48,51,55,62,64,65,69,70,[72][73][74]76,[79][80][81][82][83][84]86,88,90,102,[106][107][108][111][112][113]116,[121][122][123][124][125][126][127][128]<...…”
Section: Pillar 6: Infection Prevention and Control And Protection Of...mentioning
confidence: 99%
“…A total of 7 lessons, derived from 29 studies [9][10][11][12][13]20,27,28,31,45,55,64,67,70,72,73,75,78,84,85,87,111,112,122,134,[136][137][138][139] and quoted on 50 single occasions, were referred to this pillar: among them, 8 citations were referred to AFRO region, 4 to EMRO region, 10 to EURO region, 15 to AMRO region, 11 to SEARO, and 2 to WPRO region (see Figure S7).…”
Section: Pillar 7: Case Management Clinical Operations and Therapeuticsmentioning
confidence: 99%
“…A total of 10 lessons, derived from 61 studies [7,8,[10][11][12][14][15][16][17]19,20,23,25,28,30,33,39,43,45,[48][49][50][51]54,55,57,58,60,63,65,67,[71][72][73]78,82,83,85,91,96,101,116,118,[121][122][123]129,131,[136][137][138][140]…”
Section: Pillar 8: Operational Support and Logistics And Supply Chainsmentioning
(1) Objectives: to investigate the main lessons learned from the public health (PH) response to COVID-19, using the global perspective endorsed by the WHO pillars, and understand what countries have learned from their practical actions. (2) Methods: we searched for articles in PubMed and CINAHL from 1 January 2020 to 31 January 2022. 455 articles were included. Inclusion criteria were PH themes and lessons learned from the COVID-19 pandemic. One hundred and forty-four articles were finally included in a detailed scoping review. (3) Findings: 78 lessons learned were available, cited 928 times in the 144 articles. Our review highlighted 5 main lessons learned among the WHO regions: need for continuous coordination between PH institutions and organisations (1); importance of assessment and evaluation of risk factors for the diffusion of COVID-19, identifying vulnerable populations (2); establishment of evaluation systems to assess the impact of planned PH measures (3); extensive application of digital technologies, telecommunications and electronic health records (4); need for periodic scientific reviews to provide regular updates on the most effective PH management strategies (5). (4) Conclusion: lessons found in this review could be essential for the future, providing recommendations for an increasingly flexible, fast and efficient PH response to a healthcare emergency such as the COVID-19 pandemic.
“…A total of 17 lessons, derived from 47 studies [8][9][10]12,15,16,[20][21][22][25][26][27][29][30][31]36,37,43,44,[47][48][49]55,57,58,60,70,[72][73][74][75]77,80,81,87,[101][102][103][104][105][106][107][108][109][110][111][112] and quoted on 167 single occasions, were referred to this pillar: among them, 30 citations referred to AFRO region, 16 to EMRO region, 25 to EURO region, 52 to AMRO region, 29 to SEARO, and 15 to WPRO region (see Figure S3).…”
“…A total of 7 lessons, derived from 59 studies [10,12,[14][15][16][17]20,22,25,30,31,36,37,45,47,48,51,55,62,64,65,69,70,[72][73][74]76,[79][80][81][82][83][84]86,88,90,102,[106][107][108][111][112][113]116,[121][122][123][124][125][126][127][128]<...…”
Section: Pillar 6: Infection Prevention and Control And Protection Of...mentioning
confidence: 99%
“…A total of 7 lessons, derived from 29 studies [9][10][11][12][13]20,27,28,31,45,55,64,67,70,72,73,75,78,84,85,87,111,112,122,134,[136][137][138][139] and quoted on 50 single occasions, were referred to this pillar: among them, 8 citations were referred to AFRO region, 4 to EMRO region, 10 to EURO region, 15 to AMRO region, 11 to SEARO, and 2 to WPRO region (see Figure S7).…”
Section: Pillar 7: Case Management Clinical Operations and Therapeuticsmentioning
confidence: 99%
“…A total of 10 lessons, derived from 61 studies [7,8,[10][11][12][14][15][16][17]19,20,23,25,28,30,33,39,43,45,[48][49][50][51]54,55,57,58,60,63,65,67,[71][72][73]78,82,83,85,91,96,101,116,118,[121][122][123]129,131,[136][137][138][140]…”
Section: Pillar 8: Operational Support and Logistics And Supply Chainsmentioning
(1) Objectives: to investigate the main lessons learned from the public health (PH) response to COVID-19, using the global perspective endorsed by the WHO pillars, and understand what countries have learned from their practical actions. (2) Methods: we searched for articles in PubMed and CINAHL from 1 January 2020 to 31 January 2022. 455 articles were included. Inclusion criteria were PH themes and lessons learned from the COVID-19 pandemic. One hundred and forty-four articles were finally included in a detailed scoping review. (3) Findings: 78 lessons learned were available, cited 928 times in the 144 articles. Our review highlighted 5 main lessons learned among the WHO regions: need for continuous coordination between PH institutions and organisations (1); importance of assessment and evaluation of risk factors for the diffusion of COVID-19, identifying vulnerable populations (2); establishment of evaluation systems to assess the impact of planned PH measures (3); extensive application of digital technologies, telecommunications and electronic health records (4); need for periodic scientific reviews to provide regular updates on the most effective PH management strategies (5). (4) Conclusion: lessons found in this review could be essential for the future, providing recommendations for an increasingly flexible, fast and efficient PH response to a healthcare emergency such as the COVID-19 pandemic.
“…Nurses, as the largest group of healthcare providers, play an important role in responding to disasters and are actively involved in maintaining health in disaster conditions 7 . Past experiences have demonstrated their important role in relief and rehabilitation in disasters 8 as they provide the most healthcare services in hospitals during crises 9 . Due to the variety of experience and clinical conditions, they are unique among the first groups to appear on the scene and admit the injured people and provide care services 10 …”
Background and AimsThe reasons for the unfavorable performance of hospitals in providing care to Coronavirus Disease 2019 (COVID‐19) patients include the lack of preparation, knowledge, and relevant skills, making it necessary to evaluate the preparedness of nurses to respond to COVID‐19. Therefore, the present study aimed to investigate the preparedness of hospitals affiliated with Shahrekord University of Medical Sciences during the COVID‐19 pandemic in 2022.MethodsIn this analytical study, data were collected from 350 randomly selected nurses who worked in three hospitals affiliated with Shahrekord University of Medical Sciences; demographic information tools and the preparation of nurses for COVID‐19 patients were used to collect the data. We analyzed the data using SPSS software version 26.ResultsThe mean and standard deviation of the total preparation score was 118.85 ± 0.98. The lowest (6.80 ± 0.18) and highest (23.35 ± 0.19) average values belonged to risk assessment and management and COVID‐19, respectively. The score of nurses' preparedness to deal with COVID‐19 was not statistically correlated with age, work experience, and so on. The average preparation score was significantly different in different treatment departments (operating room and COVID‐19).ConclusionThe preparation of nurses was low in dealing with COVID‐19. Thus, managers of nursing services should design and implement educational programs to strengthen the nurses' weaknesses and ultimately increase their awareness and skills in dealing with disasters.
Background: The quality of COVID-19 data from surveillance information systems is still an issue in low-middle-income countries (LMIC), including Indonesia, which uses various applications that have the potential to affect surveillance performance. Purpose: To explore the procedures and obstacles to using various digital surveillance applications at Public Health Centers (PHCs) in Indonesia. Methods: Qualitative research with exploratory studies was used. The setting was in the PHC in Kuningan, Majalengka, and Indramayu, City of Cirebon, Indonesia, with surveillance officer participants and contact tracer data manager, as many as 8. Data was collected by interviewing and using snowball sampling techniques between May 12 and 20, 2022. Data were analyzed using content analysis. Results: The initial data collection procedure involves obtaining data from various health facilities. Data recording was with SILACAK and the New All-Recorded application. Data analysis with descriptive epidemiology was reported to the head. Data quality was achieved with monitoring. Obstacles in data collection were rejection, community paradigm, and fear. The obstacles of the application are maintenance, not immediately updating that day, not entering at that time, sometimes it does not run smoothly, there are no tools for visualization, and data distribution per place not yet available. Conclusion: In COVID-19 surveillance procedures, from initial data collection, data recording, data analysis, data reporting, and data quality assurance, there are obstacles to data collection in the community and to applications used for surveillance. The District Health Office must compile new procedures that include data management stages, epidemiological data analysis, and visualization.
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