Pooled-sample testing for detection of Mycoplasma hyopneumoniae during late experimental infection as a diagnostic tool for a herd eradication program

SUMMARYPooled sample testing (PST) as a strategy for avoiding testing the majority of individual negative samples has been proposed for screening of diseases in low prevalence areas. There has been no standard guideline for PST in screening ofSchistosoma japonicuminfection of Yunnan, China. To document the optimum pool size with acceptable sensitivity of PST for screening ofSchistosoma japonicuminfection in this setting, an experimental pooling of each of 31 positive sera by IHA with various numbers of 24 negative sera was done. The results were used to create a statistical model which was subsequently used for simulation to predict sensitivity of the pooled serum tests in the population with varying prevalence and pool size. We found that to keep the sensitivity of PST above 90%, 1:05 should be the maximum dilution, that is, the optimum pool size should not be greater than 6. Antigen will have rather little interference if the prevalence of infection is low e.g. 1% or the antigen:antibody ratio is 1:100 or below. Pooled serum testing by IHA is an acceptable sensitive method for detecting antibody forSchistosoma japonicuminfection in this area.

Download Full-text

Protective effects of an oral microencapsulated Mycoplasma hyopneumoniae vaccine against experimental infection in pigs

Research in Veterinary Science ◽

10.1016/0034-5288(92)90082-d ◽

1992 ◽

Vol 53 (1) ◽

pp. 42-46 ◽

Cited By ~ 13

Author(s):

C.N. Weng ◽

Y.L. Tzan ◽

S.D. Liu ◽

S.Y. Lin ◽

C.J. Lee

Keyword(s):

Experimental Infection ◽

Mycoplasma Hyopneumoniae ◽

Protective Effects

Download Full-text

Feasibility, efficiency & effectiveness of pooled sample testing strategy (pooled NAAT) for molecular testing of COVID-19

The Indian Journal of Medical Research ◽

10.4103/ijmr.ijmr_2333_20 ◽

2021 ◽

Vol 153 (1) ◽

pp. 227

Author(s):

Amita Jain ◽

Shantanu Prakash ◽

Om Prakash ◽

Hricha Mishra ◽

DanishN Khan ◽

...

Keyword(s):

Molecular Testing ◽

Testing Strategy ◽

Sample Testing ◽

Pooled Sample

Download Full-text

Smart Pooled Sample Testing for COVID-19: A Possible Solution For Sparcity of Test Kits (Preprint)

10.2196/preprints.20831 ◽

2020 ◽

Author(s):

Syed Usama Khalid Bukhari ◽

Syed Safwan Khalid ◽

Asmara Syed ◽

Syed Sajid Hussain Shah

Keyword(s):

Group Size ◽

Preventive Measures ◽

Virus Disease ◽

Cost Effective ◽

Positive Ratio ◽

The People ◽

Global Health Issue ◽

Sample Testing ◽

Spread Of Infection ◽

Pooled Sample

BACKGROUND Corona virus disease (COVID-19) has severely affected a large number of people from all over the world. At present, there is no medicine available for its treatment. Adopting preventive measures to limit the spread of infection among the people is the best solution to this global health issue. The identification of infected cases and their isolation from healthy people is one of the essential preventive measures. In this regard, screening of the samples from a large number of people is needed, which requires many reagent kits for the detection of SARS-CoV-2. Data of COVID-19 testing for the screening purposes from various countries revealed that most of the tests were negative. Based on this data, the smart pooling of samples will reduce the kit consumption without affecting the outcome. OBJECTIVE The main objective is to find out an effective method for the conduction of maximum testing for SARS-CoV-2 diagnosis with less utilization of reagent kits. METHODS The available data of COVID-19 testing from different countries were evaluated by applying the simulators for the calculation of smart pooled sample testing size. RESULTS The simulation results show that the Test to Positive Ratio (TPR) is directly linked with the number of tests needed to test a population of 10,000. It TPR is low, the required number of tests will be low, and if TPR is high, then the required tests will be high. If the TPR is below 30, a significant optimization can be achieved, resulting in performing fewer tests for every 10,000 population. The results also show that if the TPR is below or close to 10, a higher group size is more beneficial. Whereas a group size of 2 might be a better choice if TPR is 15 or above. CONCLUSIONS The smart pooled sample testing may be a useful strategy in the current prevailing scenario of the COVID-19 pandemic. The application of algorithms to determine the appropriate number of specimens to be pooled for a single test would be a cost-effective solution for the screening of the community. CLINICALTRIAL

Download Full-text

Increasing testing throughput and case detection with a pooled-sample Bayesian approach in the context of COVID-19

10.1101/2020.04.03.024216 ◽

2020 ◽

Cited By ~ 6

Author(s):

Rodrigo Noriega ◽

Matthew H. Samore

Keyword(s):

Disease Surveillance ◽

Detection Efficiency ◽

High Sensitivity ◽

Case Detection ◽

Infectious Disease Surveillance ◽

Testing Data ◽

Large Populations ◽

Sample Pooling ◽

Sample Testing ◽

Pooled Sample

AbstractRapid and widespread implementation of infectious disease surveillance is a critical component in the response to novel health threats. Molecular assays are the preferred method to detect a broad range of pathogens with high sensitivity and specificity. The implementation of molecular assay testing in a rapidly evolving public health emergency can be hindered by resource availability or technical constraints. In the context of the COVID-19 pandemic, the applicability of a pooled-sample testing protocol to screen large populations more rapidly and with limited resources is discussed. A Bayesian inference analysis in which hierarchical testing stages can have different sensitivities is implemented and benchmarked against early COVID-19 testing data. Optimal pool size and increases in throughput and case detection are calculated as a function of disease prevalence. Even for moderate losses in test sensitivity upon pooling, substantial increases in testing throughput and detection efficiency are predicted, suggesting that sample pooling is a viable avenue to circumvent current testing bottlenecks for COVID-19.

Download Full-text