Literature DB >> 36173954

Pooling samples to increase testing capacity with Xpert Xpress SARS-CoV-2 during the Covid-19 pandemic in Lao People's Democratic Republic.

Vibol Iem1,2, Phonepadith Xangsayarath3, Phonenaly Chittamany1, Sakhone Suthepmany1, Souvimone Siphanthong1, Phimpha Paboriboune4, Silaphet Somphavong5, Kontogianni Konstantina2, Jahangir A M Khan6, Thomas Edwards2, Tom Wingfield2,7,8, Jacob Creswell9, Jose Dominguez10, Luis E Cuevas2.   

Abstract

The COVID-19 pandemic created the need for large-scale testing of populations. However, most laboratories do not have sufficient testing capacity for mass screening. We evaluated pooled testing of samples, as a strategy to increase testing capacity in Lao PDR. Samples of consecutive patients were tested in pools of four using the Xpert Xpress SARS CoV-2 assay. Positive pools were confirmed by individual testing, and we describe the performance of the test and savings achieved. We also diluted selected positive samples to describe its effect on the assays CT values. 1,568 patients were tested in 392 pools of four. 361 (92.1%) pools were negative and 31 (7.9%) positive. 29/31 (93.5% (95%CI 77-99%) positive pools were confirmed by individual testing of the samples but, in 2/31 (6.5%) the four individual samples were negative, suggesting contamination. Pools with only one positive sample had higher CT values (lower RNA concentrations) than the respective individual samples, indicating a dilution effect, which suggested an increased risk of false negative results with dilutions >1:10. However, this risk may be low if the prevalence of infection is high, when pools are more likely to contain more than one positive sample. Pooling saved 67% of cartridges and substantially increased testing capacity. Pooling samples increased SARS-CoV-2 testing capacity and resulted in considerable cartridge savings. Given the need for high-volume testing, countries may consider implementation of pooling for SARS-CoV-2 screening.

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Year:  2022        PMID: 36173954      PMCID: PMC9522287          DOI: 10.1371/journal.pone.0275294

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.752


Introduction

The world is facing an unprecedented health crisis since the emergence of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) resulting in the coronavirus disease-19 (Covid-19) pandemic [1,2]. Ministries of health have implemented unparalleled non-pharmacological (NPIs) and pharmacological interventions, with stay-at-home, curfews, masking, quarantine orders, and increasingly, new and repositioned treatments and immunizations. Since early in the pandemic, identifying infected individuals has been considered a key pillar to prevent onward transmission and to monitor the efficacy of NPIs. For this, testing is needed at a large scale. Covid-19 confirmation is based on the detection of SARS-CoV-2 RNA by nucleic acid amplification assays, such as real-time reverse-transcription polymerase chain reaction (RT-PCR) [3]. RT-PCR is highly sensitive and specific compared to rapid antigen testing [4], but the large number of tests required has generated test stockouts, delayed reporting and unmanageable workloads, outstripping the capacity of the laboratories [5-8]. Covid-19 was first reported in Lao People’s Democratic Republic (PDR) in March 2020. Initial epidemic waves were controlled through NPIs but a large epidemic wave, which started in April 2021, resulted in the establishment of community transmission, leading to large numbers of test requests that exceeded the testing capacity of the country. In response, the National Covid-19 Task Force introduced pooled testing, to increase testing capacity and the efficiency of the diagnostic algorithm. Although ideally the method’s performance should have been assessed before widespread implementation, the Task Force decided to implement the approach routinely, based on the urgent need to increase testing capacity. In pooled testing, clinical samples of several patients are mixed (pooled) together and tested with a single test. If the test is negative, all the samples included in the pool are considered negative, while if the test is positive, all the samples are re-tested individually to identify the infected specimens [9]. Depending on the positivity rate of the pooled tests, pooling uses an overall lower number of tests than individual testing, increasing testing capacity, lowering costs, and saving time. This method has been used in diagnostic laboratories and blood banks to screen for infections, such as hepatitis B [10], and tuberculosis [11] and is increasingly reported for SARS-CoV-2 screening [12]. Here, we describe the agreement of pooled and individual testing in clinical specimens using the GeneXpert (Cepheid, US) with Xpert Xpress SARS-CoV-2 assays (Xpress) [13], changes in the assays cycle threshold (CT) values and the cost and processing time to detect SARS-CoV-2 within the context of the epidemic.

Materials and methods

We conducted a prospective cross-sectional study from the 26th of April 2021 to the 24th of May 2021 in Vientiane, Lao PDR. The study was conducted under the authority of the Ministry of Health National Center for Laboratory and Epidemiology, which was responsible at that time for the mass screening of the population in four large open-air sites in the capital. Participants were invited to participate if they had Covid-19 symptoms, close contact with individuals with confirmed Covid-19 less than 14 days prior to disease onset; a history of travel to/from other countries, or if they had a diagnosis of Severe Acute Respiratory Infections or confirmed Covid-19 before hospital discharge. Both nasopharyngeal and oropharyngeal swabs were collected from each participant and put together in a single viral transport media tube. There were 1,568 consecutive samples included in the study, corresponding to the number of cartridges available at the National Tuberculosis Reference Laboratory during the study period. Samples were tested for SARS-CoV-2 using the pooling method with the Xpress cartridge, as shown in Fig 1. The Xpert Xpress is specifically designed to amplify sequences of the envelope (E) and the nucleocapsid (N2) of the virus to generate tests results. If one or more SARS-CoV-2 nucleic acid targets (E, N2) has a CT within the valid range, the test reports a positive result. Pools were created by pipetting equal amounts (200 μL) of the individual samples directly into a container with the virus transport medium (BD Universal Viral Transport System, catalogue number 220220), and mixed together into a single use 2 mL cryovial tube. The pooled fluid was homogenized by soft pipetting-expelling to reduce risks of aerosols, loaded into an Xpress cartridge, and tested following the manufacturer’s instructions [13]. If the pool tested positive, the four samples in the pool were then tested individually. If the pool tested negative, all samples were considered negative and were not re-tested. Individual Xpert Xpress results were notified for patient management by the Emergency Operation Centre.
Fig 1

Flow diagram of the sample processing.

CT values of pooled and individual samples were available for positive pools, to describe changes in viral loads. In addition, we conducted a bench evaluation of five clinical samples with known CT values to describe the dilution effect of the samples on the overall CT values. Samples were purposely selected if they had CT values <20, 20–25, 25–30, 30–35 and >35 and were diluted 1:2, 1:4, 1:6, 1:8, 1:10, 1:15 and 1:20 before testing. For this bench evaluation, 200 μL from the individual positive samples with known CT values were diluted using multiples of 200 μL fresh virus transport medium to replicate the desired dilution of the pools. Each diluted sample was tested with Xpert Xpress cartridges using 300μL per sample.

Statistical analysis

All samples received were included in the analysis. Categorical data were summarized using descriptive statistics, with 95% confidence intervals (95% CI). We tested the agreement between the pools with positive Xpress results and the corresponding individual samples and estimated the cost and number of cartridges required to test all specimens using pooled and individual testing. Xpert Xpress costs were estimated at USD 19.80 per cartridge, as listed at wambo.org prices. Chi-squared tests were used to test for statistically significant differences between proportions. Changes in the CT values of the assays were described using correlations between the CT values of the non-diluted and diluted samples. Sample size was not formally estimated as we were limited by the expected number of participants, the capacity of staff to conduct additional testing to their routine activities and the number of spare cartridges available for research purposes. The datasets used and/or analysed during the current study are available from the corresponding author on reasonable requests for guideline development and systematic reviews.

Ethics statement

Need for ethical approval and informed consent were waived by the National Center for Laboratory and Epidemiology, Lao PDR Ministry of Health. The Center is the delegated authority for Covid-19 testing. Permission was granted through the Emergency Operations Centre under Lao PDR Task force for Covid-19 Prevention, Control and Response.

Patient and public involvement

It was not appropriate or possible to involve patients or the public in the design, or conduct, or reporting, or dissemination plans of our research.

Results

The study included 898 (57.3%) males and 670 (42.7%) females. Young participants (under 35 years old) provided the majority of samples (1036, 66.1%), followed by 35–54-year-olds (446, 28.4%), with only a few samples belonging to participants ≥ 55 years (86, 5.5%), as shown in Table 1. The 1,568 samples were distributed into 392 pools, each pool containing four individual samples. Three hundred and sixty-one (92.1%) pools tested Xpress-negative and 31 (7.9%) Xpress-positive. The samples of the 31 Xpress-positive pools were tested individually. Twenty (64.5%) of them contained only one positive sample, six (19.3%) contained two, two (6.4%) contained three and one (3.2%) contained four positive samples, for a total of 42 Xpert SARS-CoV-2 positive samples. Two (6.4%) positive pools did not contain positive samples when tested individually and were further re-tested for a different gene target using a different RT-PCR assay (Novel Coronavirus nucleic acid diagnostic kit PCR fluorescence probing (Sansure, China), on the CFX platform (BioRad, US)). However, all eight samples were still negative by this further assay [14]. Therefore 29 of the 31 positive pools were confirmed by individual testing, with an agreement of 94% (95%CI 77–99%).
Table 1

Baseline characteristics of participants with single and pooled Xpert Xpress SARS-CoV-2 results.

Xpert Xpress SARS-CoV-2
Individualn (%)Poolsn (%)
Sex 1,568 NA
Male898 (57.3%)NA
Female670 (42.7%)NA
Age 1,568
Mean (sd) (range)31.4 (12.6) (1–96)NA
<351036 (66.1%)NA
35–54446 (28.4%)NA
> = 5586 (5.5%)NA
Individual Xpert Xpress SARS-CoV-2 1,568 392
Negative1526 (97.3%)361 (92.1%)
Positive42 (2.7%)31 (7.9%)
<3532 (76.2%)NA
35–5410 (23.8%)NA
> = 550 (0.0%)NA
SARS-CoV-2 positive 42
Male18 (42.9%)NA
Female24 (57.1%)NA
Number of positive samples included in Xpress-positive pools 31
0-2 (6.5%)
1-20 (64.5%)
2-6 (19.4%)
3-2 (6.5%)
4-1 (3.2%)
The proportion of positive tests was similar for males and females (18/898, 2%, 95%CI 1.2–3.2% versus 24/670, 3.6%, 95%CI 2.4–5.4%, respectively, p = 0.06) and among adults < 35 years and 34–54 years old (32/1036, 3%, 95%CI 2.2–4.4% versus 10/446, 2.2%, 95%CI 1.1–4.2%, respectively, p = 0.4). However, none of the adults ≥ 55 years old was positive. The pooled median CT for probe E of the pools with single positive samples was 21.7 (range 17.7–39.4) and 19.5 (range 14.8–35.4) for the individual samples (Table 2). The pooled CT values for probe E were higher than the individual values by a median of 2.3 (range 0.9–6.1, p = 0.2), as shown in S1 Table, S1 Fig. The median pooled CT values for probe N2 were 23.4 (range 19.5–43.6) and 21.2 (range 17.1–37.4) for the individual samples, respectively. The pooled CT value for probe N2 was higher than the individual CT values by a median of 2.2 (range 0.7–8.7, p = 0.2), (S1 Table, S1 Fig). The CT values of the two pools that tested positive in the pool, but negative in the individual samples were 0 and 43.1 for probe E and N2 and 0 and 44.8 for the first and second pool, respectively, indicating they had high CT values and were late calls, corresponding to low SARS-CoV-2 RNA loads.
Table 2

Median CT values of individual and pooled Xpert Xpress SARS-CoV-2 probe results.

Xpert Xpress SARS-CoV-2 CT values
Individual resultsn = 42Pooled resultsn = 29
Number of positive samples in the poolCT MedianMin-MaxCT MedianMin-MaxΔCT Median
1 positive (n = 20)
Probe E19.514.8–35.421.717.7–39.42.3
Probe N221.217.1–37.423.419.5–43.62.2
2 positive (n = 6)
Probe E22.715.1–39.919.717.2–32.9-0.8
Probe N224.217.2–41.720.919.2–35.2-0.8
3 positive (n = 2)
Probe E33.330.1–37.132.331.7–33.0-0.9
Probe N234.231.8–37.133.633.6–33.7-0.5
4 positive (n = 1)
Probe E37.031.9–38.2NANANA
Probe N239.834.2–41.9NANANA
The CT values for the nine pools containing more than one positive sample are shown in S1 Table and their paired combination are shown in Fig 2. Six of the pools that contained two positive samples had a median probe E CT of 19.7 (range 17.2–32.9) compared to 22.7 (range 15.1–39.9) for the 12 positive individual samples within the pools and a median CT difference of -0.8 (range -9.6–0, p = 0.5). Similarly, the median pooled probe N2 CT was 20.9 (range 19.2–35.2), compared to 24.2 (range 17.2–41.7) for the individual samples, and a median difference of -0.8 (range -10–0.5, p = 0.5). A similar pattern was observed for the pool containing three and four positive samples, with median CT being higher in the pools than the individual samples (Fig 2, S1 Table).
Fig 2

CT values of samples containing 1, 2, 3 and 4 positive samples in a pool.

The changes in the CT values for probes E and N of the five positive samples subjected to serial dilutions are shown in S2 Fig and S2 Table. CT values followed an almost linear increase in CT values across all samples and an increasing number of samples becoming undetectable at 1:10 and 1:20 dilution. Cost analysis (Table 3) indicated testing 1568 participants would have required 1568 cartridges at a cost of USD 31,046.40. The pooling method required 392 cartridges to test in pools of four and 124 cartridges to re-test individually the 31 positive pools, resulting in 516 cartridges at a cost of USD 10,217.00. This represents a savings of 1052 (67%) cartridges, equivalent to USD 20,829.60. Using these same estimates, testing 1000 consecutive patients would require 329 cartridges instead of 1000 at a cost of USD 6.51 per participant. In Lao PDR’s context, where laboratories receive a fixed allocation of cartridges, 1,000 cartridges would allow testing 3,040 individuals, which significantly increased testing capacity.
Table 3

Cost and diagnostic savings to screen 1000 consecutive patients using the pooling method and number of patients that could be tested with 1000 Xpert Xpress SARS-CoV-2 cartridges.

Pool of 4
Individual testingPooled testing
Number of individuals tested 10001000
SensitivityreferenceNA
SpecificityreferenceNA
Proportion positive2.7%7.9%
Covid-19 cases confirmed2727
Cartridges required1000329
Cartridge costs (USD)19,8006,514
Cartridge savings (USD)0 67.1%
Number tested with 1000 cartridges
Number tested10003,040
Cartridge cost per patient (USD)19.80 6.51

Discussion

SARS-CoV-2 testing is often limited by the number of tests available. Assay shortages are multifactorial, from the limited production capacity for new assays, delayed procurement, a global shortage of RNA extractions kits, insufficient number of RT-PCR platforms and limited staff for testing. It is thus unlikely that testing capacity will reach the number of test required in the short-term. This study demonstrates that pooling samples can significantly increase testing capacity, while simultaneously reducing the resources needed for mass screening of SARS-CoV-2. The savings documented in our study, close to two thirds of the number of cartridges required for individual testing, are significant and were documented at a time when the proportion of pools testing positive was close to 8%. With the same resources required for individual testing, pooling allowed triplicating the number of people tested. Pooling has been reported to generate significant resource and time savings when screening for other infections, such as tuberculosis [11,15]. Savings are dependent upon the pool size and the proportion of pools that are positive. If the proportion of positive pools is low, e.g. at the nadir of an epidemic wave, most pools would be classified as negative and would not require further testing. However, if the proportion positive is high, many more pools would require individual testing [16]. Pooling therefore works well when there is a low prevalence of the pathogen, with more negative than positive results [17]. This is an important practical issue within the pandemic, as the proportion of positive pool varies rapidly during SARS-CoV-2 epidemic waves, with the introduction or removal of NPIs, the arrival of Variants of Concern, and mass gatherings [18]. All individual samples of two of the positive pools tested negative and remained negative when re-tested with a different assay. These pools had high CT values, suggesting they contained very low viral loads and were assumed to be false positive, caused by accidental cross contamination during sample preparation [19]. Although we had planned to test all individual samples in parallel to the pools, with the aim of exploring whether negative pools contained missed positive samples, this was not possible at the time of the emergency, as supplies were limited, and the Task Force prioritized implementing the approach to increase testing capacity. Previous studies have shown that the RNA concentrations of the individual and pooled tests are correlated, with a dilution effect in the pooled sample due to the lower sample volume used from each patient. This dilution effect increases the possibility of false negative pools, when the RNA concentration is below the limit of detection [17], and our result confirm this trend, with pools with single positive samples having higher CT values than individual samples. PCR CT values, however, are predictable, in that with 100% efficiency, the fluorescence should double each cycle. Therefore, if half of the target RNA is present, the CT value would be one CT later, thus a 1:2 dilution would result in a CT value +1 the undiluted sample, and 1:4 dilution in a CT value of +2. Our data on serial dilutions (S2 Fig) seem to have increased CT values slightly more than expected, although these values are within the margin of error, and even though the increase of 1:10 to 1:20 is steeper, this would be expected at high dilution ratios. Interestingly, the dilution effect was not homogeneous, as pools with multiple positive samples often had the same or lower CT value than individual samples, thus indicating that the combination of multiple positive samples in a pool increases the total amount of genetic material and compensates for the dilution effect. Studies by others on pooling for SARS-CoV-2 testing from nasopharyngeal swabs have reported reduced CT values for pooled samples containing a single positive, hypothesizing that the PCR efficiencies were increased by a “carrier-RNA” effect caused by increased total cellular RNA in the samples [9,20]. Furthermore, pooling samples can lead to improved PCR efficiency and sensitivity in the case of a single positive sample containing PCR inhibitors, which are then diluted by pooling. However, no failed internal control results occurred on any of the Xpert Xpress runs of our study. Our findings indicate that, in the Lao PDR context, the pooling method can increase the testing capacity by a factor of 3.04 compared to individual testing, with significant public health implications in situations of tests shortages and high demand for laboratory testing. In addition to resources savings, the rapid turnaround time with pooled testing can have a significant impact in terms of quarantine and isolation policies. By rapidly identifying positive clusters, the health authorities can trigger lockdowns in areas with confirmed outbreaks and ease the restrictions where there is no active transmission [21]. Other studies have reported that pooling with Xpert Xpress SARS-CoV-2 assay is reliable and that the dilution effect of multiple testing has limited effect on the sensitivity of the test [16,22]. Here we assessed the impact of the dilution on the CT values by performing serial dilution on samples of known CT values. Our results indicate the likelihood of false negative samples increases with the increasing dilution ratios, and that diluting the sample >1:10 results in significant losses of sensitivity. With a 1:20 ratio dilution, there was an increase in CT values >10, and consequently individual samples with low viral load and high CT values were missed by falling under the limit of detection. However, if the proportion of positive samples is high, the risk of false negative results may be minimized by the increased likelihood of samples containing more than one positive specimen in the pool.

Study limitations

In other studies focusing on the assessment of the sensitivity and specificity of the pooling method, all samples are tested individually, and the pooling is conducted as an operational research to determine whether it could result in the same number of positive and negative patients as individual testing [23,24]. This study took place at a time when there was a consortium allocation established by WHO for Xpress tests, with 1,000,000 tests available globally, and Lao PDR was entitled for only 10,000 cartridges. Consequently, laboratories in the country received a fixed allocation of cartridges based on the burden of the disease in their catchment area and testing capacity with the shared GeneXpert platform, to ensure essential services for TB and HIV were not diverted. Therefore, given the limited resources available for mass screening, pooling was used as the reference method, assuming its sensitivity and specificity was acceptable, and that pooling was warranted based on public health needs. Individual testing was thus only done for individual samples in positive pools and therefore, we did not assess the sensitivity and the specificity of the method. Consequently, we don’t know if, among the negative pools, there were positive samples that were missed. Moreover, the country decided to apply pools of four samples without assessment of the optimal pool size. A prior epidemiology analysis to determine the proportion of positive samples by province and district for the different population groups would have allowed identifying whether larger pool sizes could have been more efficient. The pooling method is not a one-size-fits-all approach and statistical calculations using different combinations of pool sizes and positivity rate would have maximized the testing capacity and optimized the resources savings [22]. Furthermore, the cost analysis and the savings presented in this study did not include all savings that were generated around the pooling method, such as staff time, electricity, consumables, laboratory maintenance, samples transportation, wastes management and life expectancy of the GeneXpert machines.

Conclusion

The pooling of samples for SARS-CoV-2 testing can be a useful strategy for testing when health systems are overwhelmed. This method can be rapidly implemented given the limited need for additional staff or sophisticated infrastructure. In a time where countries are facing shortage in laboratory supplies, with daily number of samples collected exceeding testing capacity, the pooling method can facilitate the expansion of testing in resource limited settings and accelerate the implementation or ease of NPIs.

Correlation of individual and pooled Xpert Xpress Sars-CoV2 (positive pools only include those with single individual Xpert Xpress SARS-CoV2-positive sample).

(TIF) Click here for additional data file.

Effect of serial dilution on CT values of positive samples.

(TIFF) Click here for additional data file.

CT values for the probes E and N2 for both individual and pooled results.

(DOCX) Click here for additional data file.

Effect of dilution on CT values of positive samples.

(DOCX) Click here for additional data file. (XLSX) Click here for additional data file. 29 Aug 2022
PONE-D-22-15022
Pooling samples to increase testing capacity with Xpert Xpress SARS-CoV-2 during the Covid-19 pandemic in Lao People’s Democratic Republic
PLOS ONE Dear Dr. Iem, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.
 
The reviewers are pleased with the manuscript and recommend its acceptance. However, minor details are required regarding sample dilution etc. Kindly address these minor comments and revert.
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Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes Reviewer #2: Yes ********** 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: Yes ********** 3. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. 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(Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: This is a very interesting manuscript that will find much deserved relevance in developing world where shortage of diagnostics is common. The manuscript has been well written with clear justification and sound conclusion. Reviewer #2: From the methodology provided, samples were collected, pooled and tested, there is a need to add information on what was used in diluting the samples. which of the samples were diluted, the entire pool or individual samples that makes up the pool? Author should give a brief description of the analysis in the methodology to specifically show what Probe E and N2 signifies. And for clarity what gene was targeted. May include catalogue number/make of single viral transport media tube ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: Yes: Francisca Obiageri Nwaokorie ********** [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.
4 Sep 2022 Response to Reviewers 1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. Edited as suggested. 2. Please provide additional details regarding participant consent. In the ethics statement in the Methods and online submission information, please ensure that you have specified what type you obtained (for instance, written or verbal, and if verbal, how it was documented and witnessed). If your study included minors, state whether you obtained consent from parents or guardians. If the need for consent was waived by the ethics committee, please include this information. In the manuscript line 150-153, it is stated: “Need for ethical approval and informed consent were waived by the National Center for Laboratory and Epidemiology, Lao PDR Ministry of Health. The Center is the delegated authority for Covid-19 testing. Permission was granted through the Emergency Operations Centre under Lao PDR Task force for Covid-19 Prevention, Control and Response.” Therefore, we haven’t changed the text. However, we have added the level 2 heading “Ethics statement” at the beginning of the paragraph. The same statement is also already in the online submission form. 3. Thank you for stating the following financial disclosure. Please state what role the funders took in the study. If the funders had no role, please state: ""The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript."" If this statement is not correct you must amend it as needed. Please include this amended Role of Funder statement in your cover letter; we will change the online submission form on your behalf. We have removed the section line 450-452, that stated: “The sponsors had no role in the study design; collection, analysis and interpretation of data; the writing of the manuscript; the decision to submit the manuscript for publication”. We have now included the following statement “The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript” in the revised cover letter as suggested. 4. Thank you for stating the following in the Funding Section of your manuscript. We note that you have provided funding information that is not currently declared in your Funding Statement. However, funding information should not appear in the Acknowledgments section or other areas of your manuscript. We will only publish funding information present in the Funding Statement section of the online submission form. Please remove any funding-related text from the manuscript… We have removed all funding-related text as suggested. …. and let us know how you would like to update your Funding Statement. Currently, your Funding Statement reads as follows: “This research was funded in part by the Global Fund to Fight AIDS, Tuberculosis and Malaria (LAO-T-GFMOH country grant), the Global Fund Covid-19 Response Mechanism (C19RM), the National Center for Laboratory and Epidemiology and the National Tuberculosis Control Center from the Ministry of Health of Lao PDR. TW is supported by grants from: the Wellcome Trust, UK (209075/Z/17/Z); the Medical Research Council, Department for International Development, and Wellcome Trust, UK (Joint Global Health Trials, MR/V004832/1), the Medical Research Council, UK (MR/V028618/1); the Academy of Medical Sciences, UK; and the Swedish Health Research Council, Sweden.” We confirm that this funding statement is correct. Please include your amended statements within your cover letter; we will change the online submission form on your behalf. We have edited the covert letter as suggested. 5. Thank you for stating the following in your Competing Interests section. This information should be included in your cover letter; we will change the online submission form on your behalf. We have edited the cover letter as suggested. 6. Your ethics statement should only appear in the Methods section of your manuscript. If your ethics statement is written in any section besides the Methods, please move it to the Methods section and delete it from any other section. Please ensure that your ethics statement is included in your manuscript, as the ethics statement entered into the online submission form will not be published alongside your manuscript. We have removed the duplicate ethical statement line 425-429. The ethical statement now only appears once at line 150-153, in the Methods section, as suggested. 7. Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice. The reference list was built using endnote, and is accurate with no retracted references. Reviewer #2: From the methodology provided, samples were collected, pooled and tested, there is a need to add information on what was used in diluting the samples. which of the samples were diluted, the entire pool or individual samples that makes up the pool? We have added the following text to clarify methodology at line 118 as suggested by the reviewer: “Pools were created by pipetting equal amounts (200 µL) of the individual samples directly into a container with the virus transport medium (BD Universal Viral Transport System, catalogue number 220220), and mixed together into a single use 2 mL cryovial tube.” Another statement was added at line 132: “For this bench evaluation, 200 µL from the individual positive samples with known CT values were diluted using multiples of 200 µL fresh virus transport medium to replicate the desired dilution of the pools”. Author should give a brief description of the analysis in the methodology to specifically show what Probe E and N2 signifies. And for clarity what gene was targeted. Probe E and N2 refer to probes targeting genes E and N2 respectively. A statement was added at line 118 to clarify the terminology as suggested: “The Xpert Xpress is specifically designed to amplify sequences of the envelope (E) and the nucleocapsid (N2) of the virus to generate tests results. If one or more SARS-CoV-2 nucleic acid targets (E, N2) has a CT within the valid range, the test reports a positive result.” May include catalogue number/make of single viral transport media tube The reference was added at line 119 as suggested. Submitted filename: Response to Reviewers_rev1.docx Click here for additional data file. 13 Sep 2022 Pooling samples to increase testing capacity with Xpert Xpress SARS-CoV-2 during the Covid-19 pandemic in Lao People’s Democratic Republic PONE-D-22-15022R1 Dear Dr. Iem, We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements. Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication. An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. Kind regards, Chika Kingsley Onwuamah, Ph.D. Academic Editor PLOS ONE Additional Editor Comments (optional): Reviewers' comments: 20 Sep 2022 PONE-D-22-15022R1 Pooling samples to increase testing capacity with Xpert Xpress SARS-CoV-2 during the Covid-19 pandemic in Lao People’s Democratic Republic Dear Dr. Iem: I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. If we can help with anything else, please email us at plosone@plos.org. Thank you for submitting your work to PLOS ONE and supporting open access. Kind regards, PLOS ONE Editorial Office Staff on behalf of Dr. Chika Kingsley Onwuamah Academic Editor PLOS ONE
  21 in total

1.  Underdetection of cases of COVID-19 in France threatens epidemic control.

Authors:  Giulia Pullano; Laura Di Domenico; Chiara E Sabbatini; Eugenio Valdano; Clément Turbelin; Marion Debin; Caroline Guerrisi; Charly Kengne-Kuetche; Cécile Souty; Thomas Hanslik; Thierry Blanchon; Pierre-Yves Boëlle; Julie Figoni; Sophie Vaux; Christine Campèse; Sibylle Bernard-Stoecklin; Vittoria Colizza
Journal:  Nature       Date:  2020-12-21       Impact factor: 49.962

2.  Optimising SARS-CoV-2 pooled testing for low-resource settings.

Authors:  Farhan Majid; Saad B Omer; Asim Ijaz Khwaja
Journal:  Lancet Microbe       Date:  2020-06-08

3.  Ranking the effectiveness of worldwide COVID-19 government interventions.

Authors:  Nina Haug; Lukas Geyrhofer; Alessandro Londei; Elma Dervic; Amélie Desvars-Larrive; Vittorio Loreto; Beate Pinior; Stefan Thurner; Peter Klimek
Journal:  Nat Hum Behav       Date:  2020-11-16

Review 4.  Challenges in Laboratory Diagnosis of the Novel Coronavirus SARS-CoV-2.

Authors:  Nadin Younes; Duaa W Al-Sadeq; Hadeel Al-Jighefee; Salma Younes; Ola Al-Jamal; Hanin I Daas; Hadi M Yassine; Gheyath K Nasrallah
Journal:  Viruses       Date:  2020-05-26       Impact factor: 5.048

5.  Multicenter Evaluation of the Cepheid Xpert Xpress SARS-CoV-2 Test.

Authors:  Michael J Loeffelholz; David Alland; Susan M Butler-Wu; Utsav Pandey; Carlo Frederico Perno; Alice Nava; Karen C Carroll; Heba Mostafa; Emma Davies; Ashley McEwan; Jennifer L Rakeman; Randal C Fowler; Jean-Michel Pawlotsky; Slim Fourati; Sukalyani Banik; Padmapriya P Banada; Shobha Swaminathan; Soumitesh Chakravorty; Robert W Kwiatkowski; Victor C Chu; JoAnn Kop; Rajiv Gaur; Mandy L Y Sin; Duy Nguyen; Simranjit Singh; Na Zhang; David H Persing
Journal:  J Clin Microbiol       Date:  2020-07-23       Impact factor: 5.948

6.  Evaluation of pooling of samples for testing SARS-CoV- 2 for mass screening of COVID-19.

Authors:  Sally A Mahmoud; Esra Ibrahim; Bhagyashree Thakre; Juliet G Teddy; Preety Raheja; Subhashini Ganesan; Walid A Zaher
Journal:  BMC Infect Dis       Date:  2021-04-17       Impact factor: 3.090

7.  Comparison and Sensitivity Evaluation of Three Different Commercial Real-Time Quantitative PCR Kits for SARS-CoV-2 Detection.

Authors:  Ana Banko; Gordana Petrovic; Danijela Miljanovic; Ana Loncar; Marija Vukcevic; Dragana Despot; Andja Cirkovic
Journal:  Viruses       Date:  2021-07-08       Impact factor: 5.048

8.  Pooling of samples for testing for SARS-CoV-2 in asymptomatic people.

Authors:  Stefan Lohse; Thorsten Pfuhl; Barbara Berkó-Göttel; Jürgen Rissland; Tobias Geißler; Barbara Gärtner; Sören L Becker; Sophie Schneitler; Sigrun Smola
Journal:  Lancet Infect Dis       Date:  2020-04-28       Impact factor: 71.421

9.  Challenges and issues of SARS-CoV-2 pool testing - Authors' reply.

Authors:  Stefan Lohse; Thorsten Pfuhl; Barbara Berkó-Göttel; Barbara Gärtner; Sören L Becker; Sophie Schneitler; Sigrun Smola
Journal:  Lancet Infect Dis       Date:  2020-07-14       Impact factor: 71.421

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