Relationship of Test Positivity Rates with COVID-19 Epidemic Dynamics

Furuse, Yuki; Ko, Yura K.; Ninomiya, Kota; Suzuki, Motoi; Oshitani, Hitoshi

doi:10.3390/ijerph18094655

Cited by 28 publications

(28 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The distribution in Ladakh was unique since it is a tourist destination, and imported cases could have influenced the peak in the initial phase. The relationship between the level of testing and positivity and incidence has been established in previous studies [12,26]. When the testing levels are relatively high, the incidence and test positivity are low and vice versa, assuming a constant transmission.…”

Section: Discussionmentioning

confidence: 91%

COVID-19 testing, timeliness and positivity from ICMR’s laboratory surveillance network in India: Profile of 176 million individuals tested and 188 million tests, March 2020 to January 2021

et al. 2021

View full text Add to dashboard Cite

Background The Indian Council of Medical Research set up a pan-national laboratory network to diagnose and monitor Coronavirus disease 2019 (COVID-19). Based on these data, we describe the epidemiology of the pandemic at national and sub-national levels and the performance of the laboratory network. Methods We included surveillance data for individuals tested and the number of tests from March 2020 to January 2021. We calculated the incidence of COVID-19 by age, gender and state and tests per 100,000 population, the proportion of symptomatic individuals among those tested, the proportion of repeat tests and test positivity. We computed median (Interquartile range—IQR) days needed for selected surveillance activities to describe timeliness. Results The analysis included 176 million individuals and 188 million tests. The overall incidence of COVID-19 was 0.8%, and 12,584 persons per 100,000 population were tested. 6.1% of individuals tested returned a positive result. Ten of the 37 Indian States and Union Territories accounted for about 75.6% of the total cases. Daily testing scaled up from 40,000 initially to nearly one million in March 2021. The median duration between symptom onset and sample collection was two (IQR = 0,3) days, median duration between both sample collection and testing and between testing and data entry were less than or equal to one day. Missing or invalid entries ranged from 0.01% for age to 0.7% for test outcome. Conclusion The laboratory network set-up by ICMR was scaled up massively over a short period, which enabled testing a large section of the population. Although all states and territories were affected, most cases were concentrated in a few large states. Timeliness between the various surveillance activities was acceptable, indicating good responsiveness of the surveillance system.

show abstract

Section: Discussionmentioning

confidence: 91%

COVID-19 testing, timeliness and positivity from ICMR’s laboratory surveillance network in India: Profile of 176 million individuals tested and 188 million tests, March 2020 to January 2021

et al. 2021

View full text Add to dashboard Cite

show abstract

“…The right calculation in measuring the positivity rate can help a country or region in dealing with the COVID-19 pandemic and help the team to predict the direction of this pandemic and also estimate the positive victims who fall every day. (Furuse et al, 2021) Research conducted by Furuse also explains that despite predicting the positivity rate associated with the daily increase in COVID-19 positive patients, the COVID-19 pandemic is still difficult to predict with certainty and accuracy.…”

Section: Monitoring and Evaluationmentioning

confidence: 99%

“…Research conducted by Furuse, et al (2021) show that the inspection technique carried out by a region affects the positivity rate during the COVID-19 pandemic. Areas that carry out inspections, for example, make it possible to obtain a lower positivity rate compared to areas that only carry out partial inspections or only carry out examinations of several groups that have the most vulnerable risk of contracting COVID-19.…”

Section: Monitoring and Evaluationmentioning

confidence: 99%

Management Analysis of the Implementation of Covid-19 Vaccination in Reducing Positivity Rate in Regency Health Office of Boyolali, Central Java

Aviandari¹,

Pamungkasari²,

Murti³

2021

J HEALTH POLICY MANAGE

View full text Add to dashboard Cite

Background:The results of a vaccine acceptance survey conducted by the Ministry of Health together with the Indonesian Technical Advisory Group on Immunization (ITAGI) with the support of UNICEF and WHO in September 2020 showed that most people (74%) were aware of the government's plan to carry out COVID-19 vaccination. The government targets 181,500,000 Indonesians to receive the vaccine to achieve herd immunity. Through this vaccination effort, it is hoped that it will reduce the COVID-19 positivity rate. The positivity rate is the ratio between the number of positive cases of Covid-19 and the number of tests carried out. The purpose of this study was to qualitatively examine the management analysis of the implementation of Covid-19 vaccination in reducing positivity rate in Boyolali Regency Health Office. Subjects and Method: This was a type of descriptive research using a qualitative approach. Determination of informants is done by purposive sampling. Data was collected through in-depth interviews, document review and observation. The data is processed through the stages of data reduction, data presentation and conclusion drawing and triangulation of sources and methods. Results: The implementation of vaccination in the coverage area of the Boyolali Health Service was able to reduce the positivity rate in Boyolali. The COVID-19 vaccination procedure is carried out based on the requirements for the vaccine recipient community. According to the coordinator of the vaccination implementation at one of the hospitals in Boyolali (informant 1), they screened the patient's condition before starting the vaccination. In addition to screening medical history, vaccine participants must be confirmed to be in a negative condition or not suffering from COVID-19 disease. Data from the Boyolali Health Office shows that since the vaccine began (mid-February), the number of COVID-19 sufferers has decreased. Conclusion:The management of the Covid-19 vaccination implementation in the Boyolali Health Service coverage area was able to reduce the positivity rate in Boyolali Regency. After giving the vaccine, the number of positive Covid-19 patients is in the range of 10 to 20 cases per day.

show abstract

“…A major challenge faced in implementing this strategy was the state inadequate healthcare workforce during the outbreak [ 4 ]. Some Countries like New Zealand, Australia, Taiwan, Thailand, investigated by Furuse at al ., (2021) [ 5 ] that have conducted testing with great intensity, have been able to maintain low number of COVID-19 cases. It is therefore imperative to strengthen the existing surveillance system by the implementation of the “Hotspot Strategy” put together by WHO in the State to help address existing gaps identified in the system.…”

Section: Introductionmentioning

confidence: 99%

COVID-19 hot-spot strategy: a special innovation in pandemic response, Oyo State Nigeria

et al. 2022

View full text Add to dashboard Cite

Background COVID-19, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has evolved into a pandemic. Oyo state, Nigeria with a population of 9,233,010, recorded the first case of COVID-19 on the 12th of March 2020 and it is among the highest contributing States to the nation’s burden of the disease with 3267 confirmed cases, including 40 deaths as of date, with an overall test positivity rate of 18.1%, far higher compared to the National average within a limited period from recorded index case. A ‘Hotspot strategy’ was designed by the Presidential Task Force on COVID-19 and Oyo State was selected to implement the strategy through upscaling case detection, isolation and treatment, quarantine of contacts and strengthening public health and social measures. Methods We used a descriptive cross-sectional survey of 3 identified hotspot Local Government Areas (LGAs) in Oyo State using mobile phones under Surveillance, Outbreak Response Management and Analysis System (SORMAS) platform to collect data from October to December 2020. Interventions comprised of enhanced active case search, contact line listing, contact investigation, and contact follow-up as well as to facilitate data collection and entry, community sensitization and management of alert/rumors. Baseline information and that after the 3-month period was then analyzed with the descriptive statistics presented. Results The implementation of the hotspot strategy was shown to have had a major impact in Irepo LGA, where more than a 100% increase in samples tested, confirmed cases, contacts listed and contacts followed were recorded, while there were no significance changes noticed in Ibadan North and Lagelu LGAs. However, test positivity rates among contacts were found to be quite high in Ibadan North LGA (48%), compared to the other two, even though Lagelu LGA (5.7%) tested more contacts than Ibadan North. Conclusion The observed increase in number of samples tested, cases confirmed, contact listed and investigated as well as test positivity rate in the 3 LGAs after the intervention implies that the hotspot strategy can be said to have contributed positively to the sensitivity of COVID-19 surveillance in Oyo State, Nigeria. This implies that strengthening this ‘hotspot strategy’ may be a key area of focus to improve COVID-19 surveillance sensitivity and response and in turn may help in breaking the transmission and bringing the pandemic to a halt.

show abstract

Relationship of Test Positivity Rates with COVID-19 Epidemic Dynamics

Cited by 28 publications

References 35 publications

COVID-19 testing, timeliness and positivity from ICMR’s laboratory surveillance network in India: Profile of 176 million individuals tested and 188 million tests, March 2020 to January 2021

COVID-19 testing, timeliness and positivity from ICMR’s laboratory surveillance network in India: Profile of 176 million individuals tested and 188 million tests, March 2020 to January 2021

Management Analysis of the Implementation of Covid-19 Vaccination in Reducing Positivity Rate in Regency Health Office of Boyolali, Central Java

COVID-19 hot-spot strategy: a special innovation in pandemic response, Oyo State Nigeria

Contact Info

Product

Resources

About