Mark-release-recapture studies reveal preferred spatial and temporal behaviors of Anopheles barbirostris in West Sulawesi, Indonesia. 2019

Jenna R Davidson, and Rusdiyah Sudirman, and Isra Wahid, and Robert N Baskin, and Hajar Hasan, and Andi Muhammad Arfah, and Nirwana Nur, and Muhammad Yusuf Hidayat, and Din Syafruddin, and Neil F Lobo
Eck Institute for Global Health, University of Notre Dame, Notre Dame, IN, 46556, USA. jdavids2@nd.edu.

BACKGROUND Population density, dispersion patterns, flight distances, and survival rate of vector mosquitoes are all contributors to vectorial capacity that may be estimated in a single experimental method: mark-release-recapture (MRR). In this study, these key parameters were measured for mosquito populations in Karama, West Sulawesi, Indonesia. METHODS Two mark-release-recapture (MRR) experiments were carried out in Karama village to characterize seasonality differences, if any: wet season (December 2013, MRR1) and dry season (May 2014, MRR2). For both experiments, mosquitoes were marked according to release site/date and were released on four consecutive nights. Four sampling methodologies were utilized to enable recapture: human landing catches (HLCs), kelambu traps and barrier screens. RESULTS 98.7% of all catches were molecularly confirmed as Anopheles barbirostris. During the wet season, An. barbirostris demonstrated no preference toward endophagy. In the dry season, An. barbirostris demonstrated an endophagic preference. The duration of the feeding cycle for An. barbirostris was determined to be 5 days during the wet season and 3.7 days during the dry season, though an anomaly likely caused the wet season feeding cycle to be overestimated. The largest percentages of recaptured mosquitoes were collected in a single site during both seasons. The only significant relationship with mosquito dispersal was site of release and recapture. Finally, dispersal rates of An. barbirostris frequently ranged up to 800 m (the maximum measurable distance in this study) within a single day of release. CONCLUSIONS This study estimated key vector parameters for An. barbirostris an understudied species complex, in Karama, West Sulawesi, Indonesia. Despite the length of the feeding cycle, the high indoor biting rates demonstrated by An. barbirostris in Karama suggest that the use of IRSs and LLINs, especially during the dry season, would have a substantial impact on the panmictic An. barbirostris population.

UI MeSH Term Description Entries
D007214 Indonesia A republic stretching from the Indian Ocean east to New Guinea, comprising six main islands: Java, Sumatra, Bali, Kalimantan (the Indonesian portion of the island of Borneo), Sulawesi (formerly known as the Celebes) and Irian Jaya (the western part of New Guinea). Its capital is Djakarta. The ethnic groups living there are largely Chinese, Arab, Eurasian, Indian, and Pakistani; 85% of the peoples are of the Islamic faith. Celebes,Indonesian New Guinea,Irian Jaya,Java,Madoera,Netherlands East Indies,New Guinea, Indonesian,New Guinea, West,Sulawesi,Sumatra,Timor,West Irian,Bali,East Indies,Madura,Malay Archipelago
D008288 Malaria A protozoan disease caused in humans by four species of the PLASMODIUM genus: PLASMODIUM FALCIPARUM; PLASMODIUM VIVAX; PLASMODIUM OVALE; and PLASMODIUM MALARIAE; and transmitted by the bite of an infected female mosquito of the genus ANOPHELES. Malaria is endemic in parts of Asia, Africa, Central and South America, Oceania, and certain Caribbean islands. It is characterized by extreme exhaustion associated with paroxysms of high FEVER; SWEATING; shaking CHILLS; and ANEMIA. Malaria in ANIMALS is caused by other species of plasmodia. Marsh Fever,Plasmodium Infections,Remittent Fever,Infections, Plasmodium,Paludism,Fever, Marsh,Fever, Remittent,Infection, Plasmodium,Plasmodium Infection
D011156 Population Density Number of individuals in a population relative to space. Overpopulation,Population Size,Underpopulation,Densities, Population,Density, Population,Population Densities,Population Sizes
D005247 Feeding Behavior Behavioral responses or sequences associated with eating including modes of feeding, rhythmic patterns of eating, and time intervals. Dietary Habits,Eating Behavior,Faith-based Dietary Restrictions,Feeding Patterns,Feeding-Related Behavior,Food Habits,Diet Habits,Eating Habits,Behavior, Eating,Behavior, Feeding,Behavior, Feeding-Related,Behaviors, Eating,Behaviors, Feeding,Behaviors, Feeding-Related,Diet Habit,Dietary Habit,Dietary Restriction, Faith-based,Dietary Restrictions, Faith-based,Eating Behaviors,Eating Habit,Faith based Dietary Restrictions,Faith-based Dietary Restriction,Feeding Behaviors,Feeding Pattern,Feeding Related Behavior,Feeding-Related Behaviors,Food Habit,Habit, Diet,Habit, Dietary,Habit, Eating,Habit, Food,Habits, Diet,Pattern, Feeding,Patterns, Feeding,Restrictions, Faith-based Dietary
D005260 Female Females
D000072138 Mosquito Vectors Mosquitoes (members of the family CULICIDAE) that transmit pathogens or their intermediate forms from one host to another. Mosquito Vector,Vector, Mosquito,Vectors, Mosquito
D000818 Animals Unicellular or multicellular, heterotrophic organisms, that have sensation and the power of voluntary movement. Under the older five kingdom paradigm, Animalia was one of the kingdoms. Under the modern three domain model, Animalia represents one of the many groups in the domain EUKARYOTA. Animal,Metazoa,Animalia
D000852 Anopheles A genus of mosquitoes (CULICIDAE) that are known vectors of MALARIA. Anopheles gambiae
D012621 Seasons Divisions of the year according to some regularly recurrent phenomena usually astronomical or climatic. (From McGraw-Hill Dictionary of Scientific and Technical Terms, 6th ed) Seasonal Variation,Season,Seasonal Variations,Variation, Seasonal,Variations, Seasonal
D062211 Spatio-Temporal Analysis Techniques which study entities using their topological, geometric, or geographic properties and include the dimension of time in the analysis. Space-Time Geography,Spatial Temporal Analysis,Spatiotemporal Analysis,Analyses, Spatial Temporal,Analyses, Spatio-Temporal,Analyses, Spatiotemporal,Analysis, Spatial Temporal,Analysis, Spatio-Temporal,Analysis, Spatiotemporal,Geographies, Space-Time,Geography, Space-Time,Space Time Geography,Space-Time Geographies,Spatial Temporal Analyses,Spatio Temporal Analysis,Spatio-Temporal Analyses,Spatiotemporal Analyses,Temporal Analyses, Spatial,Temporal Analysis, Spatial

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