| Literature DB >> 35035883 |
Carl J Heneghan1, Elizabeth A Spencer1, Jon Brassey2, Annette Plüddemann1, Igho J Onakpoya1, David H Evans3, John M Conly4, Tom Jefferson1.
Abstract
BACKGROUND: Modes of transmission of SARS-CoV-2 are of key public health importance. SARS-CoV-2 has been detected in the feces of some COVID-19 patients, suggesting the possibility that the virus could, in addition to droplet and fomite transmission, be transmitted via the orofecal route.Entities:
Keywords: COVID-19; Orofecal; SARS-CoV-2; systematic review; transmission
Mesh:
Substances:
Year: 2021 PMID: 35035883 PMCID: PMC8749895 DOI: 10.12688/f1000research.51592.2
Source DB: PubMed Journal: F1000Res ISSN: 2046-1402
Figure 1. Study flow diagram.
Quality of included primary studies.
| Study | Study type | Description of
| Sample
| Analysis &
| Is bias dealt
| Applicability |
|---|---|---|---|---|---|---|
| Agrawal 2020 | Observational | Yes | Yes | Yes | Unclear | Yes |
| Ahmed 2020 | Observational | Yes | No | Yes | No | Yes |
| Ampuero 2020 | Observational | Yes | Yes | Yes | No | Yes |
| Arora 2020 | Observational | Yes | Yes | Yes | Unclear | Yes |
| Betancourt 2020 | Observational | Yes | Yes | Yes | Unclear | Yes |
| Chan 2020 | Observational | Yes | Yes | Unclear | No | Unclear |
| Chavarria-Miro 2020 | Observational | Yes | No | Yes | Unclear | Unclear |
| Chen C 2020 | Observational | Yes | Yes | Not Applicable | Not Applicable | Unclear |
| Chen W 2020 | Observational | Yes | Unclear | Yes | Unclear | Yes |
| Chen Y 2020 | Observational | Yes | Yes | No | No | No |
| Cheung CCL 2020 | Observational | Yes | Yes | Yes | Not Applicable | Yes |
| Cheung K 2020 | Observational | Yes | Yes | Yes | Unclear | Yes |
| Cho 2020 | Observational | Yes | Yes | Yes | No | Yes |
| Chu H 2020 | Observational | Yes | Yes | Yes | Not Applicable | Yes |
| COVID Ix Team | Observational | Yes | Yes | Yes | Unclear | No |
| Curtis 2020 | Observational | Yes | Yes | Yes | Unclear | Unclear |
| Del Brutto 2020 | Observational | Yes | Yes | Yes | Unclear | Yes |
| Ding Z 2020 | Observational | Yes | Not Applicable | Yes | Unclear | Yes |
| Fernández‐de‐Mera 2020 | Observational | Yes | Yes | Unclear | No | Unclear |
| Fongaro 2020 | Observational | Yes | Yes | Yes | Unclear | Yes |
| Ge 2000 | Observational | Yes | Yes | Unclear | Not Applicable | Yes |
| Guerrero-Latorre 2020 | Observational | Yes | Yes | Yes | Unclear | Yes |
| Han C 2020 | Observational | Yes | No | Yes | No | No |
| Haramoto 2020 | Observational | Yes | Yes | Yes | Not Applicable | Yes |
| Hata 2020 | Observational | Yes | Yes | Yes | Not Applicable | Yes |
| Hayee 2020 | Observational | Yes | Not Applicable | Yes | Unclear | Yes |
| Hoehl M 2020 | Observational | Yes | Yes | Yes | Unclear | Yes |
| Holshue 2020 | Observational | Yes | Yes | Yes | Unclear | No |
| Iglesias 2020 | Observational | Yes | Yes | Yes | Unclear | Yes |
| Izquierdo-Lara 2020 | Observational | Unclear | Yes | Yes | Unclear | Yes |
| Jeong 2020 | Observational | Yes | Yes | Yes | Unclear | Yes |
| Jiehao 2020 | Observational | Yes | Yes | Yes | Unclear | No |
| Kang 2020 | Observational | Yes | Yes | Yes | Unclear | Yes |
| Kim J-M 2020 | Observational | Yes | No | Unclear | No | Unclear |
| La Rosa 2020 (b) | Observational | Yes | Unclear | Yes | Not Applicable | Not Applicable |
| Lescure 2020 | Observational | Yes | Yes | Yes | Unclear | No |
| Li 2020 | Observational | Unclear | Yes | Yes | Unclear | Unclear |
| Ling 2020 | Observational | Yes | Unclear | Yes | Unclear | No |
| Lo 2020 | Observational | Yes | Yes | Unclear | Unclear | No |
| Medema 2020 | Observational | Yes | No | Yes | No | Yes |
| Neault 2020 | Observational | Yes | Unclear | Yes | Not Applicable | Yes |
| Nicastri 2020 | Observational | Yes | Yes | Yes | Unclear | No |
| Ong 2020 | Observational | Yes | No | Unclear | Unclear | Yes |
| Pan 2020 | Observational | Unclear | No | Yes | Unclear | No |
| Peccia 2020 | Observational | Unclear | Yes | Yes | Not Applicable | Yes |
| Peng 2020 | Observational | No | Yes | Not Applicable | No | No |
| Qian 2020 | Observational | Yes | Yes | Yes | Unclear | Yes |
| Senapati 2020 | Observational | Unclear | Yes | Not Applicable | Not Applicable | No |
| Sharif 2020 | Observational | Yes | Yes | Yes | Unclear | Yes |
| Shutler 2020 | Observational | Yes | No | No | Unclear | No |
| Tan 2020 | Observational | Unclear | Yes | Yes | Unclear | No |
| Tang 2020 | Observational | Unclear | Unclear | Yes | Unclear | No |
| Trottier 2020 | Observational | Yes | Yes | Yes | Not Applicable | Yes |
| Wang J 2020b | Observational | Yes | No | Yes | No | Yes |
| Wang Q-X 2020 | Observational | Yes | Yes | Yes | No | Unclear |
| Wang S 2020 | Observational | Unclear | Yes | Yes | No | Unclear |
| Wang W 2020 | Observational | Unclear | Yes | Unclear | Unclear | Unclear |
| Wang X, Zhou Y 2020 | Observational | Yes | Yes | Unclear | Unclear | No |
| Wang X, Zheng J 2020 | Observational | Yes | Yes | Yes | Unclear | Yes |
| Wolf 2020 | Observational | Yes | Yes | Yes | Unclear | Yes |
| Wölfel 2020 | Observational | Unclear | Unclear | Unclear | Yes | Unclear |
| Wu Y 2020 | Observational | Yes | No | Yes | No | No |
| Wurtzer 2020 | Observational | Yes | No | Yes | Unclear | Yes |
| Xiao F & Tang M 2020 | Observational | Yes | Yes | Not Applicable | No | Unclear |
| Xiao F & Sun J 2020 | Observational | Yes | No | Not Applicable | Not Applicable | Unclear |
| Xing Y 2020 | Observational | Yes | Unclear | Unclear | Unclear | Yes |
| Xu Y 2020 | Observational | Yes | Yes | Not Applicable | Not Applicable | Unclear |
| Yang Y 2020 | Observational | Yes | Yes | Yes | Unclear | Yes |
| Young 2020 | Observational | Unclear | Unclear | Yes | Unclear | No |
| Yuan 2020 | Observational | Unclear | Yes | Yes | Unclear | No |
| Zhang J 2020 | Observational | Yes | Unclear | Unclear | No | Unclear |
| Zhang T 2020 | Observational | Yes | Yes | Yes | Unclear | Yes |
| Zhang W 2020 | Observational | Yes | Yes | Unclear | Unclear | Unclear |
| Zhang Y 2020 | Observational | Unclear | No | Yes | Unclear | No |
| Zhang Z, Chen C 2020 | Observational | No | Yes | Yes | Unclear | Yes |
| Zhao 2020 | Observational | Yes | Yes | Yes | Not Applicable | Yes |
Figure 2. Risk of bias chart.
Included study characteristics: primary studies.
| Study ID cohorts
| Setting | Country | Population/
| Patient
| Fecal samples PCR-
| Live
| Genome
| Genome Sectioning /phylogeny
|
|---|---|---|---|---|---|---|---|---|
|
| Household | China | Family members | 6 | 0/6 | Not
| Yes | Two complete virus genomes
|
|
| Hospital | China | 121 adults, 22 children | 133 | 22/133 | Not
| no | |
|
| Hospital | China | Adult patients with
| 57 | 11/28 | Not
| no | |
|
| Hospital | China | Hospitalised adult
| 42 | 28/42 | Not
| no | |
|
| Hospital | Singapore | Hospitalised adult
| 2 | N/A | Not
| no | |
|
| Public | Hong Kong | Cohort and systematic
| 52 | 9/52 | Not
| no | |
|
| Hospital
| S Korea | Case study of
| 1 | 1/1 | Not
| no | |
|
| Hospital | China | Case study of
| 1 | 1/1 | Not
| no | |
|
| Hospital and
| USA | Patients in six US states | 12 | 7/10 | Not
| no | |
|
| Hospital | Japan | Case reports of one
| 1 | 1/1 | Not
| no | |
|
| Hospital | China | Patients diagnosed with
| 206 | 12/22 | Not
| no | |
|
| Hospital
| UK | Patients (non-Covid-
| 6,208 | N/A | Not
| no | |
|
| Childcare
| Germany | Children and staff of
| 1,197 | 1/5,907 | Not
| no | |
|
| Hospital | USA | Case report | 1 | 1/1 | Not
| no | |
|
| Hospital | Korea | Specimens from 5
| 5 | 5/5 | yes (0/3) | no | |
|
| Children's
| China | Children | 10 | 5/6 | Not
| no | |
|
| Hospital | South Korea | Hospitalised adult
| 74 | 8/74 | yes (0/13) | no | |
|
| Hospital | France | Case series of
| 5 | 2/5 | Not
| no | |
|
| Hospital | China | Case series of
| 29 | 4/29 | Not
| no | |
|
| Hospital | China | 66 recovered patients | 66 | 11/28 | Not
| no | |
|
| Hospital | Macau,
| Hospitalised adult
| 10 | 10/10 | Not
| no | |
|
| Hospital | Italy | Community | 1 | 1/1 | Not
| no | |
|
| Hospital | China | Hospitalised adult
| 17 | 9/17 | Not
| no | |
|
| Hospital | China | Hospitalised adult
| 9 | 2/9 | Not
| no | |
|
| Hospital | China | A case report of a
| 1 | 0/1 | No, but
| no | |
|
| Hospital | India | Hospitalised adult
| 12 | 12/12 | Not
| no | |
|
| Hospital | Vietnam | Hospitalised adult
| 1 | 1/1 | Not
| no | |
|
| Community | China | Asymptomatic child | 1 | 1/1 | Not
| no | |
|
| Hospital | China | Covid-19 patients with
| 5 | 5 | Not
| no | |
|
| Hospital | China | Retrospective study of
| 17 | 11 | Not
| no | |
|
| Hospital | China | Patients in three
| 205 | 1/6 | yes (2/4) | no | |
|
| Hospital | China | Hospital Covid-19
| 69 | 20/69 | Not
| no | |
|
| Hospital | China | Case reports on
| 3 | 3/3 | Not
| no | |
|
| Household | Germany | Family cluster | 5 | 2/5 | Not
| no | |
|
| Hospital | Germany | Hospitalised adult
| 9 | 9/9 | yes (0/13) | no | |
|
| Hospital | China | Hospitalised adult
| 74 | 41/74 | Not
| no | |
|
| Hospital | China | Hospitalised children
| 71 | 39/73 | Not
| no | |
|
| Hospital | China | Hospitalised adult
| 28 | 12/28 | yes (2/3) | Yes | Obtained full-length viral
|
|
| Paediatric
| China | Children | 3 | 3/3 | Not
| no | |
|
| Hospital | China | Children | 10 | 8/10 | Not
| no | |
|
| Hospital | China | Paediatric Covid-19
| 35 | 17/35 | Not
| no | |
|
| Hospital | Singapore | Hospitalised adult
| 18 | 4/8 | Not
| no | |
|
| Hospital | China | Children | 78 | 37/78 | Not
| no | |
|
| Hospital | China | Patients with Covid-19
| 14 | 14/14 | Not
| no | |
|
| Public
| China | Children post discharge | 3 | 3/3 | Not
| no | |
|
| Pulmonary
| China | Hospitalised adult
| 15 | 4/15 | Not
| no | |
|
| Hospital | China | Adult severe pneumonia
| 1 | 1 | yes (1/1) | Yes | full-length genome sequence on
|
|
| Hospital | China | PCR-confirmed Covid-19
| 258 | 93 | [reports
| Yes | full-length genome sequence on
|
| Sewage | 9081 | |||||||
|
| Wastewater
| Germany | Two wastewater influent
| N/A | Sewage | Not
| no | |
|
| Sewage | Australia | Wastewater | N/A | Sewage | Not
| no | |
|
| Two
| Chile | Wastewater | N/A | Sewage | Not
| no | |
|
| Wastewater | India | 14 wastewater
| N/A | Sewage | Not
| no | |
|
| Wastewater | USA | University campus
| N/A | Wastewater | Not
| no | |
|
| Sewage | Spain | Wastewater | N/A | Sewage | Not
| no | |
|
| Wastewater | USA | Community wastewater
| N/A | Wastewater | Not
| no | |
|
| Sewage | Brazil | Urban sewage service | N/A | Sewage | Not
| no | |
|
| Wastewater | Spain | Village community and
| N/A | Wastewater | Not
| no | |
|
| Wastewater
| Japan | Wastewater and river
| N/A | Wastewater only
| Not
| no | |
|
| Wastewater | Japan | Wastewater | N/A | Wastewater | Not
| no | |
|
| Urban raw
| Argentina | Raw surface water
| N/A | Wastewater-
| Not
| no | |
|
| Sewage | Belgium
| Sewage from a number
| N/A | Sewage | Not
| Yes | To further investigate genetic
|
|
| Sewage | Italy | Water environments | N/A | Sewage | Not
| no | |
|
| Sewage | The
| Public, cities and airport | N/A | Sewage | Not
| no | |
|
| Wastewater | Canada | Wastewater samples
| N/A | Wastewater | Not
| no | |
|
| Sewage | USA | Primary sewage sludge
| N/A | Sewage | Not
| no | |
|
| Wastewater | Pakistan | Wastewater & drainage
| N/A | Wastewater | Not
| no | |
|
| Waterborne | 32 countries | Faecal contaminated
| N/A | Sewage | Not
| no | |
|
| Wastewater | France | Urban wastewater
| N/A | Wastewater | Not
| no | |
|
| Hospital | China | Surfaces and sewage
| N/A | Sewage | yes (0/5) | no | |
|
| Community | France | Wastewater | N/A | Sewage | Not
| no | |
|
| Wastewater
| China | Municipal and hospital
| N/A | influent, effluent,
| Not
| no | |
| Toilets (n=4) | ||||||||
|
| Community | Guatemala | Rural low-income village
| 362 | N/A | Not
| no | |
|
| Infectious
| China | Surface samples | N/A | Toilet samples | Not
| no | |
|
| Building
| China | Residential high-rise
| N/A | Air samples around
| Not
| no | |
|
| Hospital | Singapore | Sampling in the physical
| 3 | Sewage toilet
| Not
| no | |
| Waterways (n=1) | ||||||||
|
| Rivers | Guatemala | Urban streams in low
| N/A | River samples | Not
| no |
Main findings of included primary studies: SARS-CoV-2 and the role of orofecal transmission (n=76).
| Study | Main findings of primary studies on orofecal transmission of SARS-CoV-2 |
|---|---|
|
| This very early study established the likelihood of person to person transmission of SARS-CoV-2, in hospital and family settings. The two faecal samples from
|
|
| This retrospective study of 133 hospitalised COVID-19 patients identified 22 whose sputum or fecal samples tested positive, after their pharyngeal swabs
|
|
| SARS-CoV-2 RNA was readily detected in the blood (6/57 patients) and anal swabs (11/28 patients). |
|
| Sixty seven percent (28/42) laboratory-confirmed hospitalised COVID-19 patients tested positive for SARS-CoV-2 RNA in stool specimens; this was not associated
|
|
| This study used multiplex immunohistochemistry and unexpectedly detected SARS-CoV-2 viral antigens in intestinal and liver tissues, in surgical samples
|
|
| This study analysed stool samples from a cohort of 59 patients with COVID-19 in Hong Kong during February 2020 and additionally did a meta-analysis of data
|
|
| This case study reports an infant with mild Covid-19, positive-to-negative nasal swab conversion occurred on the 21st day from the onset of symptoms, but stool
|
|
| Case report of a breastfeeding woman with a positive PCR test for SARS-CoV-2. The patient presented on 24 January 2020 with GI symptoms; later she
|
|
| SARS-CoV-2 RNA was detected in at least one nasopharyngeal (NP) swab, 11/12 oropharyngeal (OP) swab and 7/10 in the stool in this case series describing the
|
|
| This case study of a hospitalised Covid-19 patient reported that the fecal samples remained PCR-positive for 22 days after their respiratory samples turned
|
|
| Among a group of hospitalised patients with low severity COVID-19, digestive symptoms were present in 57%. Patients with digestive symptoms were more
|
|
| This study reports PCR test results for outpatients attending for GI endoscopy at a UK hospital 30th April to 30th June 2020: 3/2,611 asymptomatic patients
|
|
| Children and staff at 50 day-care centres in Germany were tested repeatedly over 12 weeks. Buccal mucosal swabs and anal swabs were taken (by parents) from
|
|
| Stool obtained from a single hospitalized Covid-19 case was positive for SARs-CO-V-2 on day 7 of the illness. |
|
| There was viable SARS-CoV-2 in saliva, urine, and stool from COVID-19 patients up until days 11 to 15 of the clinical course suggesting that viable SARS-CoV-2
|
|
| Prolonged virus shedding was observed in the respiratory tract and feces of children at the convalescent stage. |
|
| SARS-CoV-2 RNA was detected in serum, urine or stool samples in 20% of patients hospitalised with Covid-19: 13/129 stool samples obtained from 74 patients
|
|
| A case series of the first five identified Covid-19 cases in Europe; an early demonstration of the vastly increased risk for elderly versus younger people. Viral RNA
|
|
| This case series reported on 29 hospitalised mild-to-moderate severity Covid-19 patients in China. Fecal samples from 4 patients tested positive for SARS-CoV-2 RNA,
|
|
| From 292 confirmed cases with COVID-19 in the Shanghai region, 66 recovered patients were included. Clearance of viral RNA in patients’ stools was delayed
|
|
| A report of the clinical and microbiological features of ten hospitalized Covid-19 patients in Brazil between 21 January and 16 February 2020 found that SARS-
|
|
| SARS-CoV-2 RNA was positive in stools, nasopharyngeal and oropharyngeal swabs at different time points in a case report. |
|
| Stool samples from 9/17 confirmed patients were positive on RT-PCR analysis. |
|
| Virus was found in urine, blood and in two anal swabs and oropharyngeal swabs of nine patients diagnosed with COVID-19. |
|
| SARS-CoV-2 was detected in the rectum of a COVID-19 patient during the disease incubation period. There was direct evidence of replication of SARS-CoV-2 in
|
|
| This pilot study in India found SARS-CoV-2 RNA in fecal samples from 12 symptomatic and asymptomatic COVID-19 patients. |
|
| In a single case report, SARs-CoV-2 was detected in the throat and rectum of the patient with COVID‐19. |
|
| An asymptomatic child was positive for a coronavirus by reverse transcription PCR in a stool specimen 17 days after the last virus exposure. The child was virus
|
|
| Case series of 5 individuals who had Covid-19 and whose respiratory samples were negative by PCR, but had positive fecal samples. Observed over 3 to 15 days,
|
|
| Retrospective case series using clinical records, laboratory results, and CT findings for 17 COVID-19 patients including fecal sample testing showed 11/17 had
|
|
| In this case series from China, 2 stool specimens out of 44 positives contained live virus, suggesting that orofecal transmission is possible. Transmission of the
|
|
| Among fecal samples from 69 hospitalized Covid-19 patients, 20 tested PCR positive. The duration of SARS-CoV-2 RNA persistence was significantly longer in
|
|
| In three hospitalised cases, intestinal SARS-CoV-2 infection affected the disease course of Covid-19 and stool samples were positive for SARS-CoV-2 by RT-PCR. |
|
| A five person family with a confirmed Covid-19 case was hospitalized and observed: the parents and 2 children aged 2 and 5 years became infected but the
|
|
| A detailed virological analysis of 9 Covid-19 hospitalised patients that provide proof of active virus replication in tissues of the upper respiratory tract. Stool
|
|
| In 98 hospitalized Covid-19 cases, patients’ faecal samples remained positive for SARS-CoV-2 for a mean of 11 days (maximum 5 weeks) after respiratory tract
|
|
| 39 of 73 hospitalized Covid-19 patients aged 10 months to 78 years tested positive for SARS-CoV-2 in fecal samples. Gastric, duodenal and rectal epithelial
|
|
| This case series of 28 hospitalised patients for whom feces samples were available indicated that infectious virus was present in feces from two cases who also
|
|
| Three children showed a prolonged presence of SARS‐CoV‐2 in feces after throat swabs were negative. |
|
| This study of 10 children with COVID-19 found that symptoms among children were nonspecific and relatively mild; rectal swabs tested positive among 8/10
|
|
| Viral shedding and immunological features of 35 hospitalized children with Covid-19 were analyzed. 14/35 of the children had no symptoms; CT scan showed
|
|
| SARS-CoV-2 Virus was detectable in the stool of 4 of 8 hospitalized patients. |
|
| A retrospective case note survey of 2,138 paediatric patients with suspected SARS-CoV-2 infection in Wuhan Children’s Hospital included PCR tests on both
|
|
| A small pilot sample of 14 hospitalised cases indicated agreement for the presence of COVID-19 between oropharyngeal samples and fecal samples. |
|
| Three children with mild symptoms who were SARS‐CoV‐2 throat swab specimen negative on discharge from hospital were stool positive 10 days post-
|
|
| A small study of hospitalised COVID-19 patients indicated that RNA of SARS-CoV-2 may be shed via multiple bodily routes, and highlights that it is found in anal
|
|
| A 2019-nCoV strain was isolated from a stool specimen of a laboratory-confirmed Covid-19 severe pneumonia case, who experienced onset on 16 January 2020
|
|
| Samples from 258 Covid-19 patients with clinical symptoms and positive PCR were collected: 93/258 stool samples were PCR positive; PCR-positivity in stool
|
| Sewage | |
|
| This study monitored the time course of the SARS-CoV-2 RNA concentration in raw sewage in the Frankfurt metropolitan area of Germany.
|
|
| Using samples collected between February and April 2020 from sewage treatment plants in Queensland, Australia, SARS-CoV-2 was detected by RT-qPCR assay,
|
|
| SARS-CoV-2 RNA was detected in untreated and treated wastewater samples obtained from two treatment plants in Santiago, Chile, March to June 2020. |
|
| Untreated (influent), biologically treated, and disinfected wastewater samples were collected from May to August 2020 in two North Indian states; SARS-CoV-2
|
|
| In a US university campus, wastewater from a student dormitory was tested for SARS-CoV-2 RNA. Baseline tests established no SARS-CoV-2 when the
|
|
| Testing of 24-hour composite raw sewage samples from two large wastewater treatment plants in Spain showed that SARS-CoV-2 was detected in sewage 41
|
|
| This study examined the variability of SARS-CoV-2 concentrations in wastewater grab samples collected every 2 hours for 72 hours compared with
|
|
| This study analysed human sewage in Florianopolis, Brazil from late October 2019 until the Brazil lockdown March 2020. SARS-CoV-2 was detected in two
|
|
| This study investigated how readily SARS‐CoV‐2 RNA could be detected in environmental samples collected from an isolated small rural community in Spain at a
|
|
| A study of the presence of SARS-CoV-2 RNA in wastewater and river water in a prefecture of Japan and compared two laboratory methods. Whilst 1 of 5
|
|
| A study of wastewater samples over time in Japan reported that SARS-CoV-2 RNA detection frequency increased along with the number of reported cases, and
|
|
| This study measured SARS-CoV-2 RNA from a surface water source in a low-income settlement in Buenos Aires, Argentina between June and September 2020.
|
|
| This study in Belgium and the Netherlands investigated the use of phylogenetic analysis in routine wastewater testing samples to evaluate the diversity of SARS-
|
|
| An environmental surveillance study based on twelve influent sewage samples, collected between February and April 2020 from wastewater treatment plants in
|
|
| SARS-CoV-2 was detected in the sewage of five sites a week after the first COVID-19 case in the Netherlands. Even at low COVID-19 prevalence sewage
|
|
| In this longitudinal study, the stochastic variability inherent to wastewater-based epidemiology was corrected for using multiple fecal content protein
|
|
| The study ran from 24th January to 4th February 2020 and involved sampling in the physical areas around three COVID-19 patients at the Singapore dedicated
|
|
| In an urban area of NE USA, this study of primary sewage sludge over time reported identifying SARS-CoV-2 RNA in all the samples. Adjusted for the time lag,
|
|
| 78 wastewater samples collected from 38 districts across Pakistan, 74 wastewater samples from existing polio environmental surveillance sites, 3 from drains
|
|
| Combining in vitro data, pollution analysis and a virus survivability model, based on data from 39 countries, SARS-CoV-2 can remain stable within water for up
|
|
| SARS-CoV-2 RNA was assessed in samples from the inflow point of the main waste water treatment plant of Montpellier, France, spring 2020. Samples were
|
|
| The study reports the presence of SARS-Cov-2 in the hospital environment, surfaces, sewage, and the staff PPE in isolation wards in a Covid-19 hospital in China.
|
|
| No live SARS-CoV was found in any sewage samples from two hospitals receiving COVID-19 patients. SARS-CoV RNA was detected in sewage concentrates of two
|
|
| An increase of SARS-CoV-2 genome units in raw wastewaters in and around Paris, France accurately followed the increase of human COVID-19 cases observed
|
|
| Wastewater, sludge, surface water, ground water, and soil samples of municipal and hospital wastewater systems and related environments in Wuhan during
|
| Toilet and or
| |
|
| SARS-CoV-2 prevalence and incidence were assessed in a rural Guatemalan village setting using serology. One month after baseline testing, 362 of 370 initially
|
|
| This study randomly sampled in rooms and areas in the COVID-19 designated infectious diseases hospital Nanjing, China. 4/107 surface samples tested
|
|
| An outbreak of 9 confirmed cases of Covid-19 between 26 January 2020 and 13 February 2020 in 3 vertically aligned flats in a high-rise building in Guangzhou,
|
|
| Between 24 January and 4 February 2020, 3 patients in airborne infection isolation rooms with anterooms and bathrooms had surface environmental samples
|
| Waterways | |
|
| This study assessed the presence of SARS-COV-2 in urban streams from a low sanitation context i.e. highly impacted by sewage. Three river locations along the
|
Viral culture using fecal samples (n=6 studies).
| Study (n=6) | Method | Viral culture of fecal
| Notes | Methodological issues |
|---|---|---|---|---|
|
| Specimens were used to inoculate Vero cells; these were
| 0/3 | The same study was able to isolate
| CPE, not plaque assays were cited
|
|
| For the cell inoculation, cells were cultured from the
| 0/13 | Collection of samples was reported
| Enough genomes by PCR to grow
|
|
| No details | 2/4 | Electron microscopy was performed
| Electron microscopy can identify
|
|
| Vero E6 cells were seeded on a 24-well plate at 3.5 × 10^5
| 0/13 | Culture of the virus was attempted
| Had positive controls showing an
|
|
| The cytopathic effect in Vero E cells was observed 2 days
| 2 cases | Virus culture was attempted from an
| The CPE shown in the figure
|
|
| Vero cells were used for viral isolation from stool samples
| 1 | Isolated the virus from the stools of
| No evidence of infectious
|
Included study characteristics: reviews.
| Study (n= 33;
| Fulfils
| Research question (search date up
| No. included studies (No.
| Main results | Key conclusions |
|---|---|---|---|---|---|
|
| no | To present the available data on the
| Unclear (NA) | SARS‐CoV‐2 and other human and animal CoVs have
| Possible faecal–oral, foodborne
|
|
| no | To review evidence on the presence of
| NR | SARS-CoV-2 RNA is identified in a range of water
| Authors suggest there is a
|
|
| no | To summarize the current global
| NR | Viral RNA has been detected in the stool of Covid-19
| Outcomes suggest that
|
|
| no | Current knowledge on the potential
| Unclear (NR) | A number of case series have reported the presence
| If orofecal transmission is
|
|
| no | Are recreational waters a potential
| Unclear (NR) | SARS-CoV-2 has been detected in faeces and
| The risk of SARS-CoV-2 exposure
|
|
| no | To review the evidence on
| 60 (4,243) | Pooled prevalence of all GI symptoms was 17.6%
| Around 18% of Covid-19 patients
|
|
| no | To give an overview of gastrointestinal
| NR | Diarrhea and vomiting have been reported in about
| GI symptoms are common
|
|
| no | To review the evidence on the
| 20 (NA) | Literature on SARS-CoV-2 in wastewaters is currently
| Detection of SARS-CoV-2 in
|
|
| no | To collect the data available on SARS-
| 27 (671) | 46.5% patients had a positive stool sample for SARS-
| These results suggested that
|
|
| no | Is SARS-CoV-2 also an enteric
| NR | SARS-CoV-2 is capable of infecting the gastrointestinal
| Work is needed to examine the
|
|
| no | To review evidence on GI symptoms
| NR | GI symptoms have been reported more commonly
| Further evidence on GI
|
|
| yes | To describe whether SARS-CoV-2 viral
| 24 (173) | Viral loads higher in saliva and sputum vs NP swabs; in
| Diagnostic strategies should
|
|
| no | Summarize the ways in which SARS-
| 302 (NR) | The basic mechanisms of SARS-CoV-2 transmission
| Additional research is needed to
|
|
| no | To establish the incidence and timing
| 26 (NR) | Persistent RNA shedding has been recorded in a
| There is a high incidence and
|
|
| no | To review published studies about
| 12 (90) | All studies were in China. These reports indicates
| This review suggests the need
|
|
| no | To provide a comprehensive profile on
| NR | Existing drinking water treatment protocols effectively
| Intensive studies of SARS-CoV-2
|
|
| no | To critically evaluate the incidence of GI
| 48 (NA) | SARS-CoV-2 RNA can be readily detected
| The likelihood of SARS-CoV-2
|
|
| yes | To review the sources of viral shedding
| 19 (1,433) | Prolonged shedding observed in a range of specimens;
| Prolonged viral shedding
|
|
| no | What is international best practice
| > 77 (NR) | Infectious virus has been found in faeces of some
| Best practice for reducing the
|
|
| no | Scoping review (23 February 2020) | 12 (N/A) | Coronaviruses seems to have a low stability in the
| Coroviridae have been isolated
|
|
| no | To identify current evidence on
| 36 (NR) | The review identified five potential transmission modes
| Droplet and contact with
|
|
| no | To review the evidence on transmission
| NR | Strong evidence from case and cluster reports
| Evidence indicates that
|
|
| no | To review evidence on the detection,
| NR | SARS-CoV-2 contamination of water bodies may be
| More research on the possibility
|
|
| yes | To correlate the presence and
| 55 (1,348) | Fecal positivity duration (median 19 days) was
| Attention should be paid to
|
|
| yes | To describe the evidence on GI
| 33 (NR) | High variabilty in GI symptom reporting, summary
| GI symptoms are common in
|
|
| yes | What are the incidence rates of
| 29 (4805) | Pooled rates were 7.4% (95%CI 4.3% to 12.2%) of
| These findings suggest that
|
|
| no | To update the current literature on
| NR | The rationale behind its transmission potential is that
| Detection of viral RNA shedding
|
|
| no | To describe SARS-CoV-2 transmission
| NR | Orofecal-related results: SARS-CoV-2 RNA has been
| More evidence is needed to
|
|
| yes | To investigate differences in viral
| 4 (36) | A higher proportion of children had viral shedding in
| SARS-CoV-2 shedding seems to
|
|
| no | To establish if there is any evidence
| 4 (8) | 1 study successfully isolated live SARS-CoV-2 virus in the
| Live SARS-CoV-2 virus is present
|
|
| no | To review fecal transmission of
| NR | In communities practicing open defecation, poor hand
| Fecal-associated transmission
|
|
| no | To report on the gastrointestinal
| NR (2023
| With an incidence of 3 to 79%, GI symptoms included
| |
|
| no | To review evidence on the presence of
| NR | SARS-CoV-2 has been detected in water and
| The presence of SARS-CoV-2
|
|
| no | To critically assess the clinical relevance
| 95 (2,149) | 934/2149 (43%) patients tested positive for SARS‐CoV‐2
| Viral shedding of SARS‐CoV‐2
|
|
| no | To assess epidemioogy and clinical
| 37 (406) | Asymptomatic infections and mild cases account for
| There are more children than
|