The assembly effect: the connectedness between populations is a double-edged sword for public health interventions
Many public health interventions lead to disruption or decrease of transmission, providing a beneficial effect for people in the population regardless of whether or not they individually participate in the intervention. This protective benefit has been referred to as a herd or community effect and is dependent on sufficient population participation. In practice, public health interventions are implemented at different spatial scales (i.e. at the village, district, or provincial level). Populations, however defined, are frequently connected to other populations and this connectedness can influence potential herd effects. In this research we model the impact of a public health intervention (mass drug administration for malaria), given different levels of connectedness between similar populations and between populations of varying epidemiology (i.e. baseline transmission levels and intervention coverage). We show that the way such intervention units are connected to each other may influence the impact of the focal interventions deployed in both positive (adding value to the intervention) and negative (reducing the impact of the intervention) ways. We term this phenomenon the "assembly effect" which is a meta-population version of the more commonly understood "herd effect". We conclude that public health interventions should consider the connectedness of intervention units or populations in order to achieve success..
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Preprint| Erscheinungsjahr: |
2021 |
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| Erschienen: |
2021 |
| Enthalten in: |
bioRxiv.org - (2021) vom: 25. Juni Zur Gesamtaufnahme - year:2021 |
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| Sprache: |
Englisch |
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| Beteiligte Personen: |
Tun, Sai Thein Than [VerfasserIn] |
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| doi: |
10.1101/2020.05.18.20106161 |
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| PPN (Katalog-ID): |
XBI017994969 |
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| 520 | |a Many public health interventions lead to disruption or decrease of transmission, providing a beneficial effect for people in the population regardless of whether or not they individually participate in the intervention. This protective benefit has been referred to as a herd or community effect and is dependent on sufficient population participation. In practice, public health interventions are implemented at different spatial scales (i.e. at the village, district, or provincial level). Populations, however defined, are frequently connected to other populations and this connectedness can influence potential herd effects. In this research we model the impact of a public health intervention (mass drug administration for malaria), given different levels of connectedness between similar populations and between populations of varying epidemiology (i.e. baseline transmission levels and intervention coverage). We show that the way such intervention units are connected to each other may influence the impact of the focal interventions deployed in both positive (adding value to the intervention) and negative (reducing the impact of the intervention) ways. We term this phenomenon the "assembly effect" which is a meta-population version of the more commonly understood "herd effect". We conclude that public health interventions should consider the connectedness of intervention units or populations in order to achieve success. | ||
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