Occupational Risk from Avian Influenza Viruses at Different Ecological Interfaces Between 1997 and 2019
Abstract
:1. Introduction
2. Materials and Methods
2.1. Search Strategy
2.1.1. Poultry
PubMed
Scopus
2.1.2. Wild Birds
PubMed
Scopus
2.2. Eligibility Criteria
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- Articles published in peer-reviewed journals;
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- English language;
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- Publication period: no limit of years (up to August 2019);
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- Observational studies (including cross-sectional, seroprevalence, retrospective, case–control, case-report);
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- Occupational exposure to AIV;
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- Working population: all ages, both sexes, all ethnic groups;
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- Avian influenza viruses: all subtypes;
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- Tests used in virological studies: AIV molecular detection and characterization (PCR, sequencing); virus isolation methods (embryonated chicken eggs, cell cultures); AIV serological characterization by haemagglutination inhibition assay (HIA), neuraminidase inhibition assay (NIA);
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- Tests used in serological studies: HIA; enzyme-linked immunosorbent assay (ELISA); neutralization test (NT), microneutralization assay (MNA), plaque neutralization assay (PNA); Western blot assay (WBA); single radial haemolysis (SRH) assay; IFA, immunofluorescence assay; protein microarray;
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- Only studies including tests on humans.
2.3. Study Selection
2.4. Synthesis
3. Results
3.1. Search Results
3.2. Results from the Selected Studies
3.2.1. Data Overview
3.2.2. Virological Data
3.2.3. Serological Data
3.2.4. Mixed—Serological and Virological—Data
3.2.5. Occupational Exposure Inferred from Serological Data
3.2.6. Occupational Exposure by Workplace and Work Activities
- Exposures to H9 are prevalent across all the workplaces (except for “Laboratories”). “Slaughterhouses”, “Wildlife Habitats”, “Markets” and “Unspecified Poultry Exposure Places” had the highest percentages of exposures (>60%). Studies reporting H9-positive serological results were mostly from Asia (China, Vietnam, Mongolia, Iran, India, Pakistan, and Cambodia) in a time period ranging from 2001 to 2017, but also from Africa (Nigeria) in the period 2008–2011, America (USA) between 2004 and 2010, and Europe (Romania) in the period 2009–2010 (see Appendix B.1).
- Exposures to H7 are more widespread in “Laboratories”, “Unspecified Poultry Exposure Places”, “Veterinary Staff Workplaces”, with percentages over 30%. H7-positive serological results were observed in studies from Asia (China, Pakistan, Taiwan) during a time period that ranged from 2004 to 2016, followed by America (USA) from 2002 to 2010, Europe (Italy, England) in periods between 1999 and 2010, and Africa (South Africa) in the period 2011–2012 (see Appendix B.1).
- The majority of exposures to H5 have been observed in “Farms” (40.9%), “Markets” (22.8%), and “Veterinary Staff Workplaces” (12.7%). H5-positive serological results were observed in Asian studies conducted in many countries (China, Vietnam, South Korea, Japan, Thailand, Mongolia, Bangladesh, Taiwan, Cambodia, Indonesia) in periods varying from 1997 to 2016. Also, studies originating from Africa (Nigeria, South Africa, Cameroon) reported H5-positive serological results in periods between 2008 and 2017, as well as from America (USA) in periods ranging from 2004 to 2010 (see Appendix B.1).
- Regarding other subtypes, exposures to H6 were mainly observed in “Veterinary Staff Workplaces” (18.2%), to H11 in “Wildlife Habitats” (17.4%) and to H4 in “Slaughterhouses” (3.6%). Other subtypes were less represented (H8 in “Farms” and “Slaughterhouses”, less than 1.5%; H10 in “Farms”, “Markets”, “Unspecified Poultry Exposure Places”, “Slaughterhouses”, “Veterinary Staff Workplaces”, less than 1.8%). Studies reporting positive results for these AIV subtypes were conducted in Asia and America (except for H11, which was also in Africa) (see Appendix B.1).
3.2.7. One-Health Approach
3.2.8. Study Design Comparison
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Appendix A
Workplace Macro-Categories Grouping Work Activities (n = 8) | Work Activities (n = 15) | Worker Acronym | Acronym Detail |
---|---|---|---|
WLH (Wildlife Habitats) | Wild Bird-Exposed Worker(s) | BBa | bird bander(s) |
BHa | bird handler(s) | ||
WBHW | wild bird habitat worker(s) | ||
WLB | wildlife biologist(s) | ||
WLE | wildlife exposed | ||
WLE-GoW | wildlife exposed government worker(s) | ||
Wild Bird-Exposed Hunter(s) | BHu | bird hunter(s) | |
DHu | duck hunter(s) | ||
RSBu | rural subsistence bird hunter | ||
USpHu | urban sport hunter(s) | ||
WBHu | wild bird hunter(s) | ||
F (Farms) | Large-Scale Commercial/Industrial Poultry Farm Worker(s) | CoCFW | commercial chicken farm worker(s) |
CoPFW | commercial poultry farm worker(s) | ||
CoPG | commercial poultry grower(s) | ||
InPFW | industrial poultry farm worker(s) | ||
InTFW | industrial turkey farm worker(s) | ||
Large-scale PFW | large-scale poultry farm worker(s) | ||
PInW | poultry industry worker(s) | ||
Agricultural Worker(s) | AgW | agricultural worker(s) | |
AnFW | animal farm worker(s) | ||
FW | farm worker(s) | ||
Small-Scale and Backyard Poultry Farm Worker(s) | BaPFW | backyard poultry farm worker(s) | |
BaPG | backyard poultry grower(s) | ||
BaTG | backyard turkey grower(s) | ||
Small-scale PFW | small-scale poultry farm worker(s) | ||
Poultry Depopulation Worker(s) | DeW | depopulation worker(s) | |
GoPDeW | government poultry depopulation worker(s) | ||
GoW | government worker(s) | ||
PCu | poultry culler(s) | ||
PDeW | poultry depopulation worker(s) | ||
Swine Farm Worker(s) | SFW | swine farm worker(s) | |
CoSFW | commercial swine farm worker(s) | ||
Poultry Farm Worker(s) * | DFW | duck farm worker(s) | |
PFW | poultry farm worker(s) | ||
PG | poultry grower(s) | ||
M (Markets) | Bird-Exposed Market Worker(s) | LBMW | live bird market worker(s) |
LPM butcher | live poultry market butcher(s) | ||
LPMW | live poultry market worker(s) | ||
LPV | live poultry vendor(s) | ||
PMW | poultry market worker(s) | ||
Wholesale market seller | wholesale market seller(s) | ||
WMW | wet marker worker(s) | ||
SH (Slaughterhouses) | Slaughterhouse and Poultry Meat-Processing Plant Worker(s) | SHW | slaughterhouse worker(s) |
PMePr | poultry meat processor(s) | ||
L (Laboratories) | Laboratory Worker(s) | LW | laboratory worker(s) |
V (Veterinary Staff Workplaces) | Veterinary Staff Worker(s) | Vaccinators | — |
Vet | veterinarian(s) | ||
Veterinary staff | — | ||
P (Unspecified Poultry Exposure Places) | Poultry Worker(s) | PW | poultry worker(s) |
(Live/Dead) Poultry Exposed Worker(s) ** | WpE(L/D)PW | worker(s) in workplace(s) involving exposure to (live/dead) poultry | |
OW (Other Workplaces) | Other Worker(s) | OW | other worker(s) |
Appendix B
Appendix B.1. Distribution of AIV Positive Serological Results
Appendix B.2. Seroconversion Results in AIV Exposed Workers
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Study Characteristics | Overall | Asia | America | Europe | Africa | References | |
---|---|---|---|---|---|---|---|
All, n (%) | 11 (100) | 6 (54.5) | 1 (9.1) | 2 (18.2) | 2 (18.2) | [20,21,22,23,24,25,26,27,28,29,30] | |
Study design, n (%) ^ | |||||||
Case report study | 6 (54.5) | 4 (66.7) | 1 (100) | 1 (50.0) | — | [21,22,23,24,25,26] | |
Cross-sectional study | 2 (18.2) | — | — | 1 (50.0) | 1 (50.0) | [20,29] | |
Longitudinal study | 3 (27.3) | 2 (33.4) | — | — | 1 (50.0) | [27,28,30] | |
Workplace macro-categories, n (% ^) | |||||||
F | 7 (63.6) | 3 (50.0) | 1(100) | 2 (100) | 1 (50.0) | [20,22,24,26,27,28,30] | |
F+P | 1 (9.1) | 1 (16.7) | — | — | — | [21] | |
M | 1 (9.1) | 1 (16.7) | — | — | — | [23] | |
P | 1 (9.1) | 1 (16.7) | — | — | — | [25] | |
F+M | 1 (9.1) | — | — | — | 1 (50.0) | [29] | |
One-health approach *, n (%) | |||||||
Yes | 3 (27.3) | 1 (16.7) | — | — | 2 (100) | [26,27,29] | |
No | 8 (72.7) | 5 (83.3) | 1 (100) | 2 (100) | — | [20,21,22,23,24,25,28,30] [22] [23] [24] [25] [26] |
Study Characteristics | Overall | Asia | America | Europe | Africa | References | |
---|---|---|---|---|---|---|---|
All, n (%) | 67 (100) | 49 (73.1) | 9 (13.4) | 5 (7.5) | 4 (6.0) | [31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97] | |
Study design, n (%) ^ | |||||||
Cross-sectional study | 7 (10.4) | 4 (8.2) | 3 (33.3) | — | [42,54,55,57,74,75,90] | ||
Longitudinal study | 11 (16.4) | 7 (14.3) | 2 (22.2) | 1 (20.0) | 1 (25.0) | [32,35,38,46,48,52,86,92,93,94,95] | |
Seroprevalence study | 49 (73.1) | 37 (75.5) | 4 (44.4) | 4 (80.0) | 3 (75.0) | [31,33,34,36,37,39,40,41,43,44,45,47,49,50,51,53,56,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,76,77,78,79,80,81,82,83,84,85,87,88,89,91,96,97] | |
Workplace macro-categories, n (%) ^ | |||||||
F | 26 (38.8) | 18 (36.7) | 4 (44.4) | 3 (60.0) | — | [33,35,36,37,38,41,42,43,44,45,46,47,49,56,60,61,63,66,69,71,72,74,77,82,83,97] | |
F+M | 10 (14.9) | 8 (16.3) | — | — | 2 (3.0) | [31,32,58,62,70,73,78,85,87,89] | |
F+SH | 6 (9.0) | 5 (10.2) | 1 (11.1) | — | — | [53,55,64,67,92,94] | |
M | 6 (9.0) | 6 (12.2) | — | — | — | [34,59,65,79,86,93] | |
WLH | 4 (6.0) | — | 3 (33.3) | 1 (20.0) | — | [39,50,54,57] | |
P | 4 (6.0) | 2 (4.0) | 1 (11.1) | 1 (20.0) | — | [40,51,52,80] | |
F+SH+M | 3 (4.5) | 3 (6.1) | — | — | — | [75,81,95] | |
F+M+V | 1 (1.5) | 1 (2.0) | — | — | — | [90] | |
F+V+SH+M | 1 (1.5) | 1 (2.0) | — | — | — | [88] | |
F+M+L | 1 (1.5) | — | — | — | 1 (1.5) | [48] | |
F+SH+V | 1 (1.5) | 1 (2.0) | — | — | — | [84] | |
M+F+SH+WLH | 1 (1.5) | 1 (2.0) | — | — | — | [68] | |
M+SH | 1 (1.5) | 1 (2.0) | — | — | — | [91] | |
P+SH+L | 1 (1.5) | 1 (2.0) | — | — | — | [96] | |
OW | 1 (1.5) | — | — | 1 (20.0) | — | [76] | |
One-health approach *, n (%) | |||||||
Yes | 10 (14.9) | 9 (18.4) | — | — | 1 (25.0) | [32,43,48,59,60,65,75,86,93,95] | |
No | 57 (85.1) | 40 (81.6) | 9 (100) | 5 (100) | 3 (75.0) | [31,33,34,35,36,37,38,39,40,41,42,44,45,46,47,49,50,51,52,53,54,55,56,57,58,61,62,63,64,66,67,68,69,70,71,72,73,74,76,77,78,79,80,81,82,83,84,85,87,88,89,90,91,92,94,95,96,97] |
Study Characteristics | Overall | Asia | America | Europe | Africa | Australia | References | |
---|---|---|---|---|---|---|---|---|
All, n (%) | 16 (100) | 11 (68.7) | 2 (12.5) | — | 2 (12.5) | 1 (6.3) | [98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113] | |
Study design, n (%) ^ | — | |||||||
Case report study | 3 (18.7) | 2 (18.2) | — | — | — | 1 (100) | [99,103,106] | |
Cross-sectional study | 2 (12.5) | 1 (9.1) | 1 (50.0) | — | — | — | [101,107] | |
Longitudinal study | 5 (31.2) | 2 (18.2) | 1 (50.0) | — | 2 (100) | — | [98,100,102,110,113] | |
Seroprevalence study | 6 (37.5) | 6 (54.5) | — | — | — | — | [104,105,108,109,111,112] | |
Workplace macro-categories, n (%) ^ | — | — | ||||||
F | 3 (18.7) | 3 (27.3) | — | — | — | — | [102,111,112] | |
F+M | 3 (18.7) | 1 (9.1) | — | — | 2 (100) | — | [100,108,113] | |
M | 6 (37.5) | 6 (54.5) | — | — | — | — | [99,104,105,106,109,110] | |
F+SH | 1 (6.3) | — | — | — | — | 1 (100) | [103] | |
WLH | 1 (6.3) | — | 1 (50.0) | — | — | — | [101] | |
F+M+SH+WLH+P | 1 (6.3) | 1 (9.1) | — | — | — | — | [107] | |
F+SH+WLH | 1 (6.3) | — | 1 (50.0) | — | — | — | [98] | |
One-health approach *, n (%) | ||||||||
Yes | 8 (50.0) | 6 (54.5) | — | — | 1 (50.0) | 1 (100) | [99,103,104,107,108,110,111,113] | |
No | 8 (50.0) | 5 (45,5) | 2 (100) | — | 1 (50,0) | — | [98,100,101,102,105,106,109,112] |
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De Marco, M.A.; Binazzi, A.; Melis, P.; Cotti, C.; Bonafede, M.; Delogu, M.; Tomao, P.; Vonesch, N. Occupational Risk from Avian Influenza Viruses at Different Ecological Interfaces Between 1997 and 2019. Microorganisms 2025, 13, 1391. https://doi.org/10.3390/microorganisms13061391
De Marco MA, Binazzi A, Melis P, Cotti C, Bonafede M, Delogu M, Tomao P, Vonesch N. Occupational Risk from Avian Influenza Viruses at Different Ecological Interfaces Between 1997 and 2019. Microorganisms. 2025; 13(6):1391. https://doi.org/10.3390/microorganisms13061391
Chicago/Turabian StyleDe Marco, Maria Alessandra, Alessandra Binazzi, Paola Melis, Claudia Cotti, Michela Bonafede, Mauro Delogu, Paola Tomao, and Nicoletta Vonesch. 2025. "Occupational Risk from Avian Influenza Viruses at Different Ecological Interfaces Between 1997 and 2019" Microorganisms 13, no. 6: 1391. https://doi.org/10.3390/microorganisms13061391
APA StyleDe Marco, M. A., Binazzi, A., Melis, P., Cotti, C., Bonafede, M., Delogu, M., Tomao, P., & Vonesch, N. (2025). Occupational Risk from Avian Influenza Viruses at Different Ecological Interfaces Between 1997 and 2019. Microorganisms, 13(6), 1391. https://doi.org/10.3390/microorganisms13061391