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# Health Sciences# Infectious Diseases (except HIV/AIDS)

Understanding Pre-symptomatic Transmission of Viruses

A look into how diseases spread before symptoms appear.

― 6 min read


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When diseases spread before people show Symptoms, controlling outbreaks becomes very challenging. COVID-19 is a good example. Research shows that most of the spread of COVID-19 happened from people who didn't yet have symptoms. This makes it hard to predict how to control new diseases as they come up.

It's commonly thought that the ability of Pathogens to spread relates to how quickly they multiply in the body. Studies have shown that more copies of a pathogen in the body often lead to a higher chance of spreading it, as seen with viruses like HIV and dengue. Since symptoms arise from the multiplication of these pathogens, we would expect that faster multiplication would lead to earlier symptoms. However, this link is not always clear. Sometimes, symptoms can relate to toxins released by the pathogens, or they can be a result of the body's immune response.

The initial dose of a pathogen can also affect how soon symptoms appear. A high dose might lead to more pre-symptomatic spread because the pathogen can multiply faster to a level that allows it to be Shed into the environment. Conversely, a higher dose could trigger an immune response quicker, leading to symptoms appearing sooner. This relationship complicates how we view the effectiveness of measures like masking, which aim to limit exposure to the virus.

To gather more information, researchers conduct controlled experiments where volunteers are intentionally infected with a known amount of a pathogen. These studies provide valuable data about the timing of infection and when symptoms appear.

In a particular study focusing on a virus called norovirus, researchers looked for patterns in how timing of symptoms related to the ability of the virus to spread. They used a statistical model to estimate how quickly the virus multiplied and when it reached its peak shedding time, which is when someone is most contagious.

By comparing the timing of shedding and symptoms in different individuals, researchers found that not everyone experienced the same timing. Some people shed the virus before they showed symptoms, while for others, it followed the onset of symptoms. Their findings showed that pre-symptomatic transmission mainly occurred with higher levels of virus replication, although no clear pattern connected the initial dose of the virus to this timing.

The Role of Dose and Timing in Transmission

Most studies that track viral shedding and symptom onset do not provide clear data on when symptoms appear relative to shedding. Of numerous trials, only a few shared individual-level data. In one study, the researchers observed that four out of fourteen participants had symptoms that occurred after shedding peaked.

This means that the timing of symptoms and viral shedding varies significantly depending on the individual. For those with higher doses of the virus, there’s a chance of longer gaps between when they shed the virus and when symptoms showed up. However, faster replication of the virus consistently led to earlier shedding without changing when symptoms appeared.

Researchers also found that less strict definitions of pre-symptomatic transmission slightly changed the numbers. When including those who shed the virus before symptoms appeared, there were still more instances of pre-symptomatic transmission with higher replication rates.

Understanding How Symptoms Are Triggered

The research suggests that the relationship between the virus and the body's immune response is crucial in understanding when symptoms appear. The researchers modified a basic model of how viruses replicate and how the immune system responds. According to their model, symptoms could be triggered by two main factors: the amount of virus present or the abundance of immune cells.

When examining how this works, they found if symptoms were tied to how much virus was present, then peak shedding could never occur before symptoms appear. Thus, only post-symptomatic transmission could happen. However, if symptoms were linked instead to immune response levels, then pre-symptomatic transmission was possible, especially with faster virus replication.

By looking at data from trials where individuals' symptoms and shedding were reported, the scientists could connect the timing of these events. They found that replication rates did influence the chances of pre-symptomatic transmission. If the virus multiplied quickly, it led to earlier peak shedding, which in turn increased the chance of spreading the virus before symptoms appeared.

Importance of Pre-symptomatic Transmission

Pre-symptomatic transmission has played a significant role in spreading diseases. For example, understanding this relationship can help improve how we respond to outbreaks. If scientists can better predict how certain viruses behave in individuals' bodies, it could lead to better prevention strategies.

The individual data from trials not only provide insights into the timing of symptoms and shedding but also offer clues about how different viral traits affect transmission. For instance, some viruses show early peak viral loads and higher chances of pre-symptomatic transmission, while others do not.

Challenges of Understanding Disease Spread

Despite the insights gained, there are still significant obstacles in understanding pre-symptomatic transmission. One of the main challenges is the variability between different people. The same dose of a virus can lead to vastly different responses in different individuals.

Additionally, Immune Responses play a crucial role in symptom onset. If an individual has a strong immune response, they might show symptoms more quickly, thus reducing the time they are contagious before feeling unwell. Conversely, a weaker immune response could allow for a longer window of pre-symptomatic transmission.

The initial dose of a pathogen can complicate things further. High doses may elicit stronger immune responses that can either hasten symptoms or allow the virus to spread more effectively. Consequently, it is tough to predict how dose impacts pre-symptomatic transmission across various pathogens.

Future Directions in Research

There is a need for more detailed studies to flesh out the relationships between host characteristics, immune responses, and pathogen traits in the context of virus transmission. Researchers call for more controlled studies to gather finer details about individuals' responses to pathogens.

For example, they suggest that understanding the timing of gut transit could reveal more about how quickly viruses spread in the body. This is particularly important for enteric viruses that infect the gut. Investigating how each person's immune response changes over time can provide further insights.

Such understanding is essential for public health strategies aimed at containing outbreaks. If researchers can predict which populations are more likely to spread diseases pre-symptomatically, targeted interventions can be developed. For instance, testing and vaccination could be directed towards those most likely to spread infections before they realize they are sick.

Conclusion

The study of pre-symptomatic transmission emphasizes the complexity of disease spread. Viruses can act differently based on a combination of factors, including how quickly they replicate, the initial dose received, and how individuals' immune systems respond.

Research reveals the importance of understanding these dynamics to improve our ability to predict and control outbreaks. As we continue to gather and analyze data from controlled infection studies, we can enhance our understanding of these complex relationships, which ultimately could lead to better intervention strategies in the future.

By studying individual-level data, we can gain insights into how various traits of viruses and host responses contribute to pre-symptomatic transmission, allowing for more effective public health measures to combat infectious diseases.

Original Source

Title: Using models to identify the causes of pre-symptomatic transmission from human infection data

Abstract: When disease transmission can precede symptom onset, containing outbreaks requires distinct strategies, like active surveillance. Yet it is rarely clear in advance when such interventions are needed, especially for emerging pathogens. Predicting pre-symptomatic transmission would be easier with knowledge of the within-host dynamics that enable pre-symptomatic transmission. To investigate those dynamics, we survey controlled human infection (CHI) trials with viral agents, which contain data on incubation times, infection duration, and transmission potential following inoculation with a known dose. We find that all studies report information on the duration of viral shedding, but few report the timing of symptoms. Only one study provided data on the timing of shedding and symptoms for individual participants, following norovirus inoculation. We apply a statistical model to individual time series to show significantly greater potential for pre-symptomatic transmission with faster viral replication, but no evidence for a tradeoff between transmission rate and duration during the pre-symptomatic phase. We then compare within-host models of pathogen replication, immune clearance, and symptom onset to identify plausible assumptions about the causes of pre-symptomatic transmission. We recover the pattern that peak shedding can precede symptom onset if we assume that symptoms are triggered by immune responses rather than pathogen abundance. Only by relaxing the standard assumption of exponential growth can we recover the pattern that faster viral replication enables pre-symptomatic transmission. Thus, data on symptom onset in CHI trials, paired with models, can illuminate the within-host dynamics underpinning pre-symptomatic transmission, guiding efforts to improve control strategies. Significance statementThe COVID-19 pandemic was exacerbated by the potential for transmission before symptoms. Yet the causes of pre-symptomatic transmission remain unclear, hindering efforts to predict disease spread and tailor control efforts for novel pathogens. For known pathogens, the potential for pre-symptomatic transmission varies across individuals, but patterns may emerge from controlled human infection (CHI) trials. We surveyed CHI trials, finding that only one reported data on individual participants. We fit a simple model to those data, finding that faster viral replication correlates with pre-symptomatic transmission. We used more detailed models to identify plausible assumptions about the causes of symptom onset, e.g., that immune responses trigger symptoms. Thus, applying models to CHI trial data gives insight into the drivers of pre-symptomatic transmission.

Authors: Kayla Zhang, D. Pak, M. A. Greischar

Last Update: 2024-05-16 00:00:00

Language: English

Source URL: https://www.medrxiv.org/content/10.1101/2024.05.16.24307410

Source PDF: https://www.medrxiv.org/content/10.1101/2024.05.16.24307410.full.pdf

Licence: https://creativecommons.org/licenses/by/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to medrxiv for use of its open access interoperability.

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