Tracking SARS-CoV-2 seropositivity in rural communities using blood-fed mosquitoes: a proof-of-concept study Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.3389/fepid.2023.1243691
Background The spread of SARS-CoV-2 cannot be well monitored and understood in areas without capacity for effective disease surveillance. Countries with a young population will have disproportionately large numbers of asymptomatic or pauci-symptomatic infections, further hindering detection of infection. Sero-surveillance on a country-wide scale by trained medical professionals may be limited in a resource-limited setting such as Mali. Novel ways of broadly sampling the human population in a non-invasive method would allow for large-scale surveillance at a reduced cost. Approach Here we evaluate the collection of naturally blood-fed mosquitoes to test for human anti-SARS-CoV-2 antibodies in the laboratory and at five field locations in Mali. Results Immunoglobulin-G antibodies to multiple SARS-CoV-2 antigens were readily detected in mosquito bloodmeals by bead-based immunoassay through at least 10 h after feeding [mean sensitivity of 0.92 (95% CI 0.78–1) and mean specificity of 0.98 (95% CI 0.88–1)], indicating that most blood-fed mosquitoes collected indoors during early morning hours (and likely to have fed the previous night) are viable samples for analysis. We found that reactivity to four SARS-CoV-2 antigens rose during the pandemic from pre-pandemic levels. The crude seropositivity of blood sampled via mosquitoes was 6.3% in October and November 2020 across all sites, and increased to 25.1% overall by February 2021, with the most urban site reaching 46.7%, consistent with independent venous blood-based sero-surveillance estimates. Conclusions We have demonstrated that using mosquito bloodmeals, country-wide sero-surveillance of human diseases (both vector-borne and non-vector-borne) is possible in areas where human-biting mosquitoes are common, offering an informative, cost-effective, and non-invasive sampling option.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fepid.2023.1243691
- https://www.frontiersin.org/articles/10.3389/fepid.2023.1243691/pdf?isPublishedV2=False
- OA Status
- diamond
- References
- 40
- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4389686820Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/fepid.2023.1243691Digital Object Identifier
- Title
-
Tracking SARS-CoV-2 seropositivity in rural communities using blood-fed mosquitoes: a proof-of-concept studyWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
-
2023-12-13Full publication date if available
- Authors
-
Benjamin J. Krajacich, Djibril Samaké, Adama Dao, Moussa Diallo, Zana L. Sanogo, Alpha Seydou Yaro, Amatigué Zéguimé, Josué Poudiougo, Kadiatou Cissé, Mamadou Traoré, Alassane dit Assitoun, Roy Faiman, Irfan Zaidi, John Woodford, Patrick E. Duffy, Tovi LehmannList of authors in order
- Landing page
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https://doi.org/10.3389/fepid.2023.1243691Publisher landing page
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https://www.frontiersin.org/articles/10.3389/fepid.2023.1243691/pdf?isPublishedV2=FalseDirect link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://www.frontiersin.org/articles/10.3389/fepid.2023.1243691/pdf?isPublishedV2=FalseDirect OA link when available
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Population, Dengue fever, Asymptomatic, Medicine, Antibody, Pandemic, Virology, Immunoassay, Serology, Immunology, Veterinary medicine, Environmental health, Coronavirus disease 2019 (COVID-19), Infectious disease (medical specialty), Disease, Internal medicineTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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40Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Immunoglobulin-G | 106 |
| abstract_inverted_index.resource-limited | 53 |
| abstract_inverted_index.Sero-surveillance | 39 |
| abstract_inverted_index.non-vector-borne) | 238 |
| abstract_inverted_index.pauci-symptomatic | 32 |
| abstract_inverted_index.sero-surveillance | 220, 231 |
| abstract_inverted_index.disproportionately | 26 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5055609794 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 16 |
| corresponding_institution_ids | https://openalex.org/I4210159747 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.75 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.32952984 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |