Surveillance and response strategies for zoonotic diseases: a comprehensive review

Sharan, Manjeet; Vijay, Deepthi; Yadav, Jay Prakash; Bedi, Jasbir Singh; Dhaka, Pankaj

doi:10.1016/j.soh.2023.100050

Cited by 19 publications

(7 citation statements)

References 48 publications

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“…Zoonotic diseases can spread across borders and cause worldwide pandemics due to tourism, global migration, trade, etc. Countries need to enhance and strengthen cooperation with neighboring countries, such as through joint disease surveillance, sharing of information on animal movements, and integration and cooperation between multiple sectors 33 ; additionally, the OH approach should be used to prevent, detect, predict, and respond to the threat of zoonotic diseases in border areas. This was the case in Uganda, where a multisectoral community engaged in characterizing animal mobility to prevent the cross-border spread of zoonotic diseases.…”

Section: Discussionmentioning

confidence: 99%

Global One Health index for zoonoses: A performance assessment in 160 countries and territories

Sun,

Wan,

Agbana

et al. 2024

iScience

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Section: Discussionmentioning

confidence: 99%

Global One Health index for zoonoses: A performance assessment in 160 countries and territories

Sun,

Wan,

Agbana

et al. 2024

iScience

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“…The re-emergence of the disease in 2023 has re-emphasized the need for the country to scale up integrated surveillance and monitoring frameworks and systems for transboundary animal infectious diseases and zoonoses occurring at the animal-human-environment interface. Having robust, well-structured, and e cient surveillance and reporting systems enhances early detection and management of potential outbreaks [20]. In addition, improved One Health implementation, diagnostic capabilities, resources (infrastructure, personnel, and funding), literacy advocacy, and border control policies or legislations are crucial for prompt disease intervention.…”

Section: Discussionmentioning

confidence: 99%

Anthrax Outbreak: Knowledge, Risk Practices, and Perception Among High-risk Working Groups in Abattoirs and Slaughterhouses in Nigeria

Oluseun,

Oludairo,

Oloye

et al. 2024

Preprint

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Background Anthrax is a neglected and life-threatening infectious zoonotic disease occurring, especially in Africa. This study was conducted a week before the confirmation of the recent anthrax outbreak in Nigeria on July 2023. It assessed the knowledge, risk practice, and perception of anthrax among the high-risk working groups such as meat processors, butchers, animal farmers, meat vendors, para-veterinarians, veterinarians, cleaners, administrative staff, and animal traders in abattoirs (ABs) and slaughterhouses (SHs) in Nigeria. Also, the national preparedness towards an outbreak was evaluated. Method A total of 627 participants were purposively selected from seven States and interviewed using a semi-structured questionnaire. Data were analyzed using descriptive and logistic regression statistics. Results Most 499 (81.4%) of the participants were males, with the mean age being 37.3 ± 12.0 years old and the majority (471, 78.1%) had no tertiary education. One-third (207, 32.7%) of the participants self-reported being aware of anthrax, and 13.2% indicated that anthrax was a serious disease for both animals and humans. The knowledge median score was 0.0 (min 0, max 30), the general knowledge level was poor (16.8%), and 91.2% (527) of participants fell within this category. The practice median score was 6.0 (min 0, max 12) and categorized as generally poor (52.9%). Gaps observed in practices that could promote the risk of participants’ exposure to anthrax included slaughtering sick animals for human consumption, splashing blood on inspected carcasses, carrying carcasses on heads or shoulders, and disposing of condemned animal tissues or organs in open dumps. One-third of participants (202, 32.2%) strongly perceived that efficiently implementing vaccination in livestock would reduce the outbreak in humans. Furthermore, participants with no tertiary qualifications and no veterinary background had increased odds (COR: 14.378, 95% CI; 4.923–41.991, p = 0.000) and (COR: 9.157, 95% CI; 3.644–23.008, p = 0.000) of having inadequate knowledge level of anthrax respectively. Participants who were non-veterinarians/ non-para veterinarians had increased odds (COR: 3.471, 95% CI; 1.629–7.392, p = 0.001) of having poor practice level than veterinarians/para veterinarians. Conversely, participants less than 37 years -old had lower odds (COR: 0.268, 95% CI; 0.148–0.486, p = 0.000) of having poor practice level than those above the age. Conclusion The knowledge level of the high-risk working groups was poor with observable critical risk practices. Promoting media publicity and awareness creation, vaccination, effective disease surveillance, on-farm biosecurity, and adequate border control are critical strategies to prevent anthrax outbreaks in Nigeria.

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“…Mass mortality events associated with the HPAI virus are on the rise, and assessing mortality is an important but complex objective of monitoring outbreaks (Ramey et al 2022, Klaassen andWille 2023). Previous work has envisioned a combination of monitoring pipelines that together enable comprehensive disease surveillance akin to a One Health approach (e.g., Morner et al 2002, Ramey et al 2022, Cardoso et al 2022, Sharan et al 2023. Each monitoring pipeline has its strengths and weaknesses.…”

Section: Participatory Science Mortality Monitoring -11mentioning

confidence: 99%

Strengths and limitations of using participatory science data to characterize a wildlife mass mortality event

Taylor,

Barychka,

McKeon

et al. 2024

Preprint

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Large participatory science (i.e., "community science" or "citizen science") platforms are increasingly used at every level of ecological and conservation research, including disease monitoring. Here, we used a comprehensive, ground-truthed mortality dataset to judge how well participatory science data from iNaturalist represented the magnitude, taxonomic, temporal, and spatial patterns of waterbird mortality associated with a mass mortality event following the incursion of Highly Pathogenic Avian Influenza in eastern Canada in 2022. The iNaturalist dataset was effective at identifying species with high mortality (especially Northern Gannets, Morus bassanus), along with the time period and spatial regions with high concentrations of avian deaths. However, iNaturalist data severely underestimated the magnitude, overestimated the taxonomic breadth, and poorly represented the full geographic scope of disease-related deaths. Our results suggest iNaturalist can be used to identify the species, timing, and location of relatively high mortality in situations where no other information is available, and to supplement conventional sources of data. However, iNaturalist alone can neither quantify the magnitude nor pinpoint the mechanisms of mortality and therefore is not a viable substitute for comprehensive mortality assessments.

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Surveillance and response strategies for zoonotic diseases: a comprehensive review

Cited by 19 publications

References 48 publications

Global One Health index for zoonoses: A performance assessment in 160 countries and territories

Global One Health index for zoonoses: A performance assessment in 160 countries and territories

Anthrax Outbreak: Knowledge, Risk Practices, and Perception Among High-risk Working Groups in Abattoirs and Slaughterhouses in Nigeria

Strengths and limitations of using participatory science data to characterize a wildlife mass mortality event

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