scholarly journals Containment of COVID-19 cases among healthcare workers: The role of surveillance, early detection, and outbreak management

2020 ◽  
Vol 41 (7) ◽  
pp. 765-771 ◽  
Author(s):  
Liang En Wee ◽  
Xiang Ying Jean Sim ◽  
Edwin Philip Conceicao ◽  
May Kyawt Aung ◽  
Jia Qing Goh ◽  
...  

AbstractObjective:Staff surveillance is crucial during the containment phase of a pandemic to help reduce potential healthcare-associated transmission and sustain good staff morale. During an outbreak of SARS-COV-2 with community transmission, our institution used an integrated strategy for early detection and containment of COVID-19 cases among healthcare workers (HCWs).Methods:Our strategy comprised 3 key components: (1) enforcing reporting of HCWs with acute respiratory illness (ARI) to our institution’s staff clinic for monitoring; (2) conducting ongoing syndromic surveillance to obtain early warning of potential clusters of COVID-19; and (3) outbreak investigation and management.Results:Over a 16-week surveillance period, we detected 14 cases of COVID-19 among HCWs with ARI symptoms. Two of the cases were linked epidemiologically and thus constituted a COVID-19 cluster with intrahospital HCW–HCW transmission; we also detected 1 family cluster and 2 clusters among HCWs who shared accommodation. No transmission to HCWs or patients was detected after containment measures were instituted. Early detection minimized the number of HCWs requiring quarantine, hence preserving continuity of service during an ongoing pandemic.Conclusions:An integrated surveillance strategy, outbreak management, and encouraging individual responsibility were successful in early detection of clusters of COVID-19 among HCWs. With ongoing local transmission, vigilance must be maintained for intrahospital spread in nonclinical areas where social mingling of HCWs occurs. Because most individuals with COVID-19 have mild symptoms, addressing presenteeism is crucial to minimize potential staff and patient exposure.

BMC Medicine ◽  
2021 ◽  
Vol 19 (1) ◽  
Author(s):  
K. Lokuge ◽  
E. Banks ◽  
S. Davis ◽  
L. Roberts ◽  
T. Street ◽  
...  

Abstract Background Following implementation of strong containment measures, several countries and regions have low detectable community transmission of COVID-19. We developed an efficient, rapid, and scalable surveillance strategy to detect remaining COVID-19 community cases through exhaustive identification of every active transmission chain. We identified measures to enable early detection and effective management of any reintroduction of transmission once containment measures are lifted to ensure strong containment measures do not require reinstatement. Methods We compared efficiency and sensitivity to detect community transmission chains through testing of the following: hospital cases; fever, cough and/or ARI testing at community/primary care; and asymptomatic testing; using surveillance evaluation methods and mathematical modelling, varying testing capacities, reproductive number (R) and weekly cumulative incidence of COVID-19 and non-COVID-19 respiratory symptoms using data from Australia. We assessed system requirements to identify all transmission chains and follow up all cases and primary contacts within each chain, per million population. Results Assuming 20% of cases are asymptomatic and 30% of symptomatic COVID-19 cases present for testing, with R = 2.2, a median of 14 unrecognised community cases (8 infectious) occur when a transmission chain is identified through hospital surveillance versus 7 unrecognised cases (4 infectious) through community-based surveillance. The 7 unrecognised community upstream cases are estimated to generate a further 55–77 primary contacts requiring follow-up. The unrecognised community cases rise to 10 if 50% of cases are asymptomatic. Screening asymptomatic community members cannot exhaustively identify all cases under any of the scenarios assessed. The most important determinant of testing requirements for symptomatic screening is levels of non-COVID-19 respiratory illness. If 4% of the community have respiratory symptoms, and 1% of those with symptoms have COVID-19, exhaustive symptomatic screening requires approximately 11,600 tests/million population using 1/4 pooling, with 98% of cases detected (2% missed), given 99.9% sensitivity. Even with a drop in sensitivity to 70%, pooling was more effective at detecting cases than individual testing under all scenarios examined. Conclusions Screening all acute respiratory disease in the community, in combination with exhaustive and meticulous case and contact identification and management, enables appropriate early detection and elimination of COVID-19 community transmission. An important component is identification, testing, and management of all contacts, including upstream contacts (i.e. potential sources of infection for identified cases, and their related transmission chains). Pooling allows increased case detection when testing capacity is limited, even given reduced test sensitivity. Critical to the effectiveness of all aspects of surveillance is appropriate community engagement, messaging to optimise testing uptake and compliance with other measures.


Author(s):  
Kamalini Lokuge ◽  
Emily Banks ◽  
Stephanie Davis ◽  
Leslee Roberts ◽  
Tatum Street ◽  
...  

BackgroundFollowing successful implementation of strong containment measures by the community, Australia is now close to the point of eliminating detectable community transmission of COVID-19. We aimed to develop an efficient, rapid and scalable surveillance strategy for detecting all remaining COVID-19 community transmission through exhaustive identification of every active transmission chain. We also identified measures to enable early detection and effective management of any reintroduction of transmission once containment measures are lifted to ensure strong containment measures do not need to be reinstated.MethodsWe compared efficiency and sensitivity to detect community transmission chains through testing of: hospital cases; primary care fever and cough patients; or asymptomatic community members, using surveillance evaluation methods and mathematical modelling, varying testing capacities and prevalence of COVID-19 and non-COVID-19 fever and cough, and the reproduction number. System requirements for increasing testing to allow exhaustive identification of all transmission chains, and then enable complete follow-up of all cases and contacts within each chain, were assessed per million population.FindingsAssuming 20% of cases are asymptomatic and all symptomatic COVID-19 cases present to primary care, with high transmission (R=2.2) there are a median of 13 unrecognised community cases (5 infectious) when a transmission chain is identified through hospital surveillance versus 3 unrecognised cases (1 infectious) through primary care surveillance. 3 unrecognised community upstream community cases themselves are estimated to generate a further 22-33 contacts requiring follow-up. The unrecognised community cases rise to 5 if only 50% of symptomatic cases present to primary care. Screening for asymptomatic disease in the community cannot exhaustively identify all transmission under any of the scenarios assessed. The additional capacity required to screen all fever and cough primary care patients would be approximately 2,000 tests/million population per week using 1/16 pooling of samples.InterpretationScreening all syndromic fever and cough primary care presentations, in combination with exhaustive and meticulous case and contact identification and management, enables appropriate early detection and elimination of community transmission of COVID-19. If testing capacity is limited, interventions such as pooling allow increased case detection, even given reduced test sensitivity. Wider identification and testing of all upstream contacts, (i.e. potential sources of infection for identified cases, and their related transmission chains) is critical, and to be done exhaustively requires more resources than downstream contact tracing. The most important factor in determining the performance of such a surveillance system is community participation in screening and follow up, and as such, appropriate community engagement, messaging and support to encourage presentation and compliance is essential. We provide operational guidance on implementing such a system.FundingNo specific funding was received for this project, beyond the salary support the authors receive from their institutions and elsewhere. Professor Banks is supported by the National Health and Medical Research Council of Australia (Principal Research Fellowship 1136128).


2021 ◽  
Vol 9 (3) ◽  
pp. 49
Author(s):  
Mazin Barry ◽  
Asirvatham Alwin Robert ◽  
Mohamad-Hani Temsah ◽  
Syed Abdul Bari ◽  
Muhammad Yasin Akhtar ◽  
...  

Aim: To determine the frequency, mode of transmission, and outcome of Coronavirus Disease 2019 (COVID-19) among healthcare workers (HCWs) in a tertiary care cardiac center in the Kingdom of Saudi Arabia (KSA). Methods: This is a retrospective study of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infected HCWs and was conducted from 2 March to 31 December 2020. Data related to the presence of COVID-19 symptoms, mode of transmission, hospitalization, and mortality were collected from the patients’ medical records. Results: Of the 4462 patients tested for COVID-19 by real-time reverse transcriptase polymerase chain reaction (RT-PCR), 203 (4.5%) HCWs were positive; of these, 125 (61.6%) were males, and the most common age group was <40 years. The most commonly encountered health professionals were nurses (74, 36.4%), followed by therapists/technicians (48, 23.6%), housekeepers (25, 12.3%), and physicians (21, 10.4%). The majority (184, 90.6%) of the HCWs contracted COVID-19 in the community, and only 19 (9.4%) were healthcare-associated infections. Of the infected HCWs, 169 (83.3%) had mild symptoms and were managed in home isolation. The most common symptoms were fever (128, 63.1%), body ache (124, 61.8%), headache (113, 55.7%), dry cough (123, 60.6%), sore throat (97, 47.8%), body weakness (97, 47.8%), and fatigue (94, 46.3%). Comparing males and females, there was a significantly higher number of female nurses; in contrast, there was a higher number of male physicians, housekeepers, therapists/technicians, and other specialty HCWs. A significantly lower number of nurses, therapists/technicians were infected in the ≥40 years age group compared to <40 years. Furthermore, a significantly higher difference was observed among non-Saudi nurses compared to Saudi nurses. No mortality was documented among the included HCWs. Conclusions: In the largest tertiary cardiac center in KSA, most HCWs who contracted COVID-19 developed mild symptoms; nurses and those aged <40 years were most commonly infected, and most infections were acquired in the community. HCWs’ adherence to mitigation measures outside of the workplace is vital to curb the current pandemic and decrease nosocomial transmission risk.


Author(s):  
Leanne M. Delaney ◽  
Victoria R. Williams ◽  
Nick Tomiczek ◽  
Lawrence Robinson ◽  
Alex Kiss ◽  
...  

Abstract A policy mandating the completion of an online learning module for healthcare workers intending to decline influenza immunization was associated with a nearly 25% relative increase in immunization and significant reduction in healthcare-associated influenza. In the absence of mandatory vaccination, this model may help to augment severe acute respiratory coronavirus virus 2 (SARS-CoV-2) vaccine efforts.


Author(s):  
S L Holgate ◽  
A Dramowski ◽  
M van Niekerk ◽  
H Hassan ◽  
Y Prinsloo ◽  
...  

Abstract Following exposure to a health care worker with an influenza-like illness, two preterm neonates and six staff members developed symptoms and tested positive for SARS-CoV-2. This neonatal unit COVID-19 outbreak occurred prior to implementation of universal masking and symptom screening policies. Both neonates and all staff recovered, with no further healthcare-associated SARS-CoV-2 transmission following implementation of effective outbreak containment measures.


2020 ◽  
Vol 27 (8) ◽  
Author(s):  
Jing Yang ◽  
Juan Li ◽  
Shengjie Lai ◽  
Corrine W Ruktanonchai ◽  
Weijia Xing ◽  
...  

Abstract Background The COVID-19 pandemic has posed an ongoing global crisis, but how the virus spread across the world remains poorly understood. This is of vital importance for informing current and future pandemic response strategies. Methods We performed two independent analyses, travel network-based epidemiological modelling and Bayesian phylogeographic inference, to investigate the intercontinental spread of COVID-19. Results Both approaches revealed two distinct phases of COVID-19 spread by the end of March 2020. In the first phase, COVID-19 largely circulated in China during mid-to-late January 2020 and was interrupted by containment measures in China. In the second and predominant phase extending from late February to mid-March, unrestricted movements between countries outside of China facilitated intercontinental spread, with Europe as a major source. Phylogenetic analyses also revealed that the dominant strains circulating in the USA were introduced from Europe. However, stringent restrictions on international travel across the world since late March have substantially reduced intercontinental transmission. Conclusions Our analyses highlight that heterogeneities in international travel have shaped the spatiotemporal characteristics of the pandemic. Unrestricted travel caused a large number of COVID-19 exportations from Europe to other continents between late February and mid-March, which facilitated the COVID-19 pandemic. Targeted restrictions on international travel from countries with widespread community transmission, together with improved capacity in testing, genetic sequencing and contact tracing, can inform timely strategies for mitigating and containing ongoing and future waves of COVID-19 pandemic.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Werku Etafa ◽  
Gosa Gadisa ◽  
Shibiru Jabessa ◽  
Tagay Takele

Abstract Background Globally, Coronavirus disease-19 has created unprecedented challenges to public health. Healthcare workers (HCWs) are at risk of COVID-19 because of their profession. There are limited studies conducted in Ethiopia among HCWs regarding their compliance with COVID-19 preventive measures. Therefore, this study intended to assess HCWs’ compliance with measures to prevent COVID-19, and its potential determinants in public hospitals in Western Ethiopia. Methods A self-administered, multicenter hospital-based cross-sectional survey was proposed to 422 randomly selected HCWs working in seven public hospitals in Western Ethiopia identified as COVID-19 referral centers. Data were entered into Epi Data version 3.1 and analyzed using SPSS version 24. Binary logistic regression was used to identify potential determinants of outcome variables at p-value < 0.05. Results Out of 422 completed questionnaires, the overall HCWs’ compliance with COVID-19 prevention is 22% (n = 404). In multivariate regression analysis, factors such as spending most of caring time at bedside (AOR = 1.94, 95%CI, 1.06–3.55), receiving training on infection prevention/COVID-19 (AOR = 1.86, 95%CI, 1.04–3.33), reading materials on COVID-19 (AOR = 2.04, 95%CI, 1.14–3.63) and having support from hospital management (AOR = 2.09, 95%CI, 1.20–3.64) were found to be significantly associated with COVID-19 preventive measures. Furthermore, inadequate supplies of appropriate personal protective equipment (83.2%), insufficient supportive medications (78.5%), and lack of provision of adequate ventilation (77.7%) were the barriers to COVID-19 prevention most frequently mentioned by participants. Conclusion Our findings highlight HCWs’ poor compliance with COVID-19 preventive measures. Providing information and refreshing training to improve the level of healthcare workers’ adherence with COVID-19 prevention is as imperative as increasing staff commitment to supply resources necessary to protect HCWs and to reduce healthcare-associated infections transmission of SARS-COV-2.


2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Kwuntida Uthaisar Kotepui ◽  
Manas Kotepui ◽  
Chuchard Punsawad

Malaria is a potential medical emergency and should be treated immediately because delays in diagnosis and treatment are the leading causes of death in many countries. This study aimed to assess the knowledge, attitude, and practice related to malaria diagnosis for early detection among healthcare workers in the laboratories of hospitals in Thailand. The design of the study was a descriptive cross-sectional study carried out between January 2016 and March 2017 at 11 hospitals in Thailand. The interviewees included any scientists who were currently working in a medical laboratory. Mean scores for knowledge, attitude, and practice for each healthcare group were calculated and compared between groups. Data analysis was performed using the SPSS version 11.5 software package (SPSS Inc., Chicago, IL, USA). Among a total of 118 healthcare workers, most of the healthcare workers had fair to good knowledge, attitude, and practice related to malaria detection. Among the various positions of healthcare workers, medical technologists possessed a greater knowledge on malaria detection than medical technician assistants or laboratory assistants (X2 = 9.822, d.f. = 2, and P value=0.007). This study infers that knowledge, attitude, and practice related to malaria detection among healthcare workers in laboratories were adequate. However, some points of knowledge and practice must be updated. There is a very urgent need to update knowledge on malaria, especially about the number of Plasmodium species causing relapse in malaria patients. In addition, there is an urgent need to update the practice related to malaria detection, especially about the staining process for early detection of malaria.


2014 ◽  
Vol 66 (1) ◽  
pp. 87-92 ◽  
Author(s):  
Ivana Cirkovic ◽  
Slobodanka Djukic ◽  
Biljana Carevic ◽  
Natasa Mazic ◽  
Vesna Mioljevic ◽  
...  

The aim of the present study was to provide the first comprehensive analysis of methicillin-resistant Staphylococcus aureus (MRSA) carriage among patients and healthcare workers (HCWs) in the largest healthcare facility in Serbia. Specimens from anterior nares obtained from 195 hospitalized patients and 105 HCWs were inoculated after broth enrichment onto chromogenic MRSA-ID medium. In total, 21 of 300 specimens yielded MRSA. Among hospitalized patients, 7.7% were colonized with MRSA, and 5.7% HCWs were colonized with MRSA. Five out of 21 (23.8%) tested MRSA strains were classified as community-associated MRSA (CA-MRSA), and four of them were isolated from HCWs. The remaining 16 MRSA strains had characteristics of healthcare-associated MRSA (HA-MRSA), and two of them were isolated from HCWs. The HA-MRSA strains isolated from HCWs were indistinguishable from HA-MRSA of the same cluster isolated from patients. This finding reveals the circulation of HA-MRSA strains between patients and HCWs in the Clinical Center of Serbia.


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