TY - JOUR
T1 - Spatio-Seasonal Habitat Suitability Model of Anisakis spp. in Chub Mackerel (Scomber Japonicus) as a Scientific-Based Approach to Provide Safety Assessment Policy of Fisheries Product in Indonesia
AU - Hidayah, Izhamil
AU - Sutomo,
AU - Pujiono, Eko
AU - Saputra, Muhammad Hadi
AU - Humaida, Nida
AU - Januar, Hedi Indra
AU - Anggraeni, Yusnita Mirna
AU - Puspasari, Herti W.Indya
AU - Triwibowo, Radestya
AU - Rachmawati, Novalia
AU - Iswani, Sri
AU - Yennie, Yusma
AU - Santoso, Agung
N1 - Publisher Copyright:
© 2023, Research and Development Center for Marine and Fisheries Product Processing and Biotechnology. All rights reserved.
PY - 2023/12
Y1 - 2023/12
N2 - The infestation of Anisakis spp. in Chub mackerel (Scomber japonicus) may have significant health and socioeconomic implications. Understanding the spatio-seasonal occurrence of Anisakis spp. in its host, S. japonicus, is crucial ecologically and for effective management. This research aimed to develop a predictive map (spatial-seasonal patterns) for Anisakis’s infestation in S. japonicus using the maximum entropy (MaxEnt) algorithm. Anisakis spp. and S. japonicus occurrences were obtained through a comprehensive Biblio-graphic analysis of the Scopus database (2017-2022) and the Ocean Biodiversity Information System (OBIS) database to collect the necessary data. Environmental predictors were sourced from the Global Marine Environment Data. The resulting model demonstrated a reliable performance, as indicated by an Area Under Curve (AUC) value on the Receiver Operating Characteristic (ROC) chart exceeding 0.8. The findings of this study revealed that the infestation of Anisakis spp. in S. japonicus is projected to be more prevalent during the fourth quarter of each year. Furthermore, the environmental factors influencing the infestation were identified as diffuse attenuation, water depth, and distance from the coast. These research outcomes can be a foundational reference for developing an effective control system for inspecting fresh or frozen fish within the quarantine department. By utilizing the spatial-seasonal patterns and environmental predictors identified in this study, authorities can implement targeted measures to prevent and mitigate the infestation of Anisakis spp. in S. japonicus, safe-guarding public health and maintaining the quality of fish products.
AB - The infestation of Anisakis spp. in Chub mackerel (Scomber japonicus) may have significant health and socioeconomic implications. Understanding the spatio-seasonal occurrence of Anisakis spp. in its host, S. japonicus, is crucial ecologically and for effective management. This research aimed to develop a predictive map (spatial-seasonal patterns) for Anisakis’s infestation in S. japonicus using the maximum entropy (MaxEnt) algorithm. Anisakis spp. and S. japonicus occurrences were obtained through a comprehensive Biblio-graphic analysis of the Scopus database (2017-2022) and the Ocean Biodiversity Information System (OBIS) database to collect the necessary data. Environmental predictors were sourced from the Global Marine Environment Data. The resulting model demonstrated a reliable performance, as indicated by an Area Under Curve (AUC) value on the Receiver Operating Characteristic (ROC) chart exceeding 0.8. The findings of this study revealed that the infestation of Anisakis spp. in S. japonicus is projected to be more prevalent during the fourth quarter of each year. Furthermore, the environmental factors influencing the infestation were identified as diffuse attenuation, water depth, and distance from the coast. These research outcomes can be a foundational reference for developing an effective control system for inspecting fresh or frozen fish within the quarantine department. By utilizing the spatial-seasonal patterns and environmental predictors identified in this study, authorities can implement targeted measures to prevent and mitigate the infestation of Anisakis spp. in S. japonicus, safe-guarding public health and maintaining the quality of fish products.
KW - Anisakis spp
KW - Habitat Suitability Model
KW - public health Maximum entropy algorithm (MaxEnt)
KW - Scomber japonicus
KW - Spasio-seasonal analysis
UR - http://www.scopus.com/inward/record.url?scp=85183156053&partnerID=8YFLogxK
U2 - 10.15578/squalen.804
DO - 10.15578/squalen.804
M3 - Article
AN - SCOPUS:85183156053
SN - 2089-5690
VL - 18
SP - 162
EP - 172
JO - Squalen Bulletin of Marine and Fisheries Postharvest and Biotechnology
JF - Squalen Bulletin of Marine and Fisheries Postharvest and Biotechnology
IS - 3
ER -