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New disease surveillance tool to transform public health responses

21 August 2023

UC researchers and collaborators create world-first statistical model with potential to better inform public health responses to infectious diseases.

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A team of researchers, including Te Whare W膩nanga o Waitaha | 蜜桃儿直播 (UC)听Dr Leighton Watson听补苍诲听Professor Michael Plank,听combined wastewater data with reported case numbers to create a statistical model that could be used to inform public health responses to infectious diseases worldwide.

Their study is based on data from the听听wastewater COVID-19 surveillance programme and Covid-19 data collected in Aotearoa New 蜜桃儿直播.

The disease surveillance tool analyses data in a way no other study has previously done 鈥 combining wastewater data and reported case numbers to estimate how the case ascertainment rate, or proportion of infections reported, has changed over time. The model also estimates the effective reproduction number.

<img src="/news/2023/SDG-11_242286203735430529.jpg" alt="SDG 11" style="    " class="img-responsive additional-image"> Sustainable Development Goal (SDG) 11 - Sustainable Cities and Communities

School of Mathematics and Statistics Lecturer听Leighton Watson鈥檚 model provides a clearer picture of the state of an epidemic, disease dynamics and infections in the community.

鈥淲hile the results are not the only piece to the pule, the model could be used as an additional source of information to inform public health policy decisions and hospital capacity planning,鈥 Watson says.

He explains the model could be used by any country where most people are connected to the wastewater system. The model could be applied nationally or regionally and help inform planning of public health responses to multiple infectious diseases.

Watson noted that over time government restrictions and testing guidelines have been eased. 鈥淎t first, people would test every time they got a sore throat. Anecdotally, now it seems like many people are assuming they are just under the weather because, for example, their kids bring every single bug possible home from school.鈥

Watson says fewer cases could mean fewer infections or fewer people reporting. Reported cases during the second wave in July 2022 were significantly lower than in the first wave in February and March 2022. However, the model suggests that there was a substantial drop in case ascertainment between the waves and that true numbers of infections were actually similar.

Wastewater surveillance has proven to provide valuable data on COVID-19 trends in the community in New 蜜桃儿直播 and overseas. This led the research team to investigate how clinical and wastewater data could be combined to provide a better overall picture of the pandemic.

鈥淓veryone who lives somewhere that鈥檚 linked up to the town wastewater system is going to shed the virus into the wastewater if they have Covid. If they are plumbed into the wastewater system and we are sampling it, we can pick that up independent of whether people are testing or not鈥 Watson says.

According to the researchers the model provides the most accurate source of data on case ascertainment rate and effective reproduction numbers currently available.

Watson and Professor Plank worked alongside research colleagues from听听补苍诲听听for the study. Their research,, was funded by New 蜜桃儿直播鈥檚听,听听and the听.


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