Field evaluation of a semi-automatic funnel trap targeted the medically important non-biting flies

Klong-klaew, Tunwadee; Sontigun, Narin; Sanit, Sangob; Samerjai, Chutharat; Sukontason, Kom; Kurahashi, Hiroki; koehler, Philip G.; Pereira, Roberto M.; Limsopatham, Kwankamol; Suwannayod, Suttida; Thanapornpoonpong, Sa-nguansak; Chareonviriyaphap, Theeraphap; Sukontason, Kabkaew L.

doi:10.1016/j.actatropica.2017.07.018

Cited by 9 publications

(8 citation statements)

References 46 publications

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“…The peak trap catch of these species was found in the rainy season (August 2009), and the nadir occurred during the summer (March–May 2010). This finding is in contrast with many studies where more blow flies were collected during the warmer months [22,45,46]. The conditions in the rainy season (mean temperature 29.1 ± 0.3 °C, mean RH 69.7 ± 1.0%) may be suitable for the development of Luciliinae flies.…”

Section: Discussioncontrasting

confidence: 70%

“…In this study, fly trapping was done before noon (9:30 a.m. and 12:00 p.m.). Blow fly activity was reported to be higher around noontime and in the afternoon than in the early morning [22,48,49], so our collection time may have affected the resulting collections.…”

Section: Discussionmentioning

confidence: 99%

“…This limitation may be due to Luciliinae flies accounting for a small proportion of the populations that infest dead bodies. A recent study in Thailand reported that Luciliinae flies accounted for only 0.63% of a total of 147,248 calliphorids collected throughout a year [22]. Furthermore, Luciliinae accounted for 5.9% of blow flies collected from human corpses in Malaysia [12] and 6.5% of blow flies from cases in Thailand [4].…”

Section: Introductionmentioning

confidence: 99%

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Spatial Distribution of Forensically Significant Blow Flies in Subfamily Luciliinae (Diptera: Calliphoridae), Chiang Mai Province, Northern Thailand: Observations and Modeling Using GIS

Klong-klaew

Ngoen-Klan

Moophayak

et al. 2018

Insects

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Blow flies of the subfamily Luciliinae (Diptera: Calliphoridae) are one of the main forensically important subfamilies globally. In addition to being used to estimate the minimum post-mortem interval (PMImin), assuming colonization occurred after death, blow fly specimens found infesting a human corpse are used to determine if the corpse was relocated or if the individual ingested narcotics prior to death. The presence of these blow flies in a given area is strongly influenced by abiotic and biotic factors, such as temperature, elevation, and habitat. Having this information, along with geographical distributions and the characteristics of preferred habitats, is necessary to better understand the biology of this group. This study aimed to characterize the spatial distribution of Luciliinae throughout 18 sampling sites within six ecozones (disturbed mixed deciduous forest, mixed deciduous forest, mixed orchard, paddy field, lowland village, and city/town) in central Chiang Mai Province, northern Thailand over one year (May 2009–May 2010). The purpose of the study was to elucidate the relationship of blow fly species composition with environmental abiotic factors (e.g., temperature, relative humidity, light intensity), and to predict the distribution of the common species within this subfamily using GIS. Adult collections were performed biweekly, baited with one-day-old beef offal. A total of 2331 Luciliinae flies trapped, comprising eight species, of which the four predominant species were Hemipyrellia ligurriens (Wiedemann) (n = 1428; 61.3%), Lucilia porphyrina (Walker) (n = 381; 16.3%), Hemipyrellia pulchra (Wiedemann) (n = 293; 12.6%), and Lucilia papuensis Macquart (n = 129; 5.5%). Population density across species varied seasonally, peaking in August 2009 coinciding with the rainy season. Predicting population composition was based on a model developed with ArcGIS 9.2, which utilized environmental variables (temperature, relative humidity, and light intensity) in conjunction with abundance data. Models indicated H. ligurriens had the most widespread geographic distribution, while H. pulchra was predicted to occur largely in mixed orchards and lowland villages. Lucilia porphyrina and L. papuensis were less widespread, restricted mainly to mixed deciduous forest. This model, along with knowledge of forensic information, may be useful under certain investigations where the corpse may have been relocated.

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Section: Discussioncontrasting

confidence: 70%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Spatial Distribution of Forensically Significant Blow Flies in Subfamily Luciliinae (Diptera: Calliphoridae), Chiang Mai Province, Northern Thailand: Observations and Modeling Using GIS

Klong-klaew

Ngoen-Klan

Moophayak

et al. 2018

Insects

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“…Theoretical and experimental studies reveal that at of a certain exposure, surface density of power and at the relevant frequency values, the action of an electromagnetic field will be associated with the inhibitory effect for a specific species of insects [8]. However, determining the optimal parameters for an electromagnetic field to suppress the viability of fly larvae requires the development of a model and needs theoretical studies on its basis.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Determining the electromagnetic field parameters to kill flies at livestock facilities

Mуkhaylova

Ryd

Potapski

et al. 2018

EEJET

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Розглянуто електромагнiтний метод для знищення личинок мух-шкiдникiв сiльського господарства. З цiєю метою вирiшено задачу про розподiл електромагнiтних полiв у їхньому органiзмi. Рiшення проводиться на основi рiвнянь Максвелла в iнтегральнiй формi, якi автоматично враховують граничнi умови на поверхнi розсiювачiв. Оскiльки пропонується електромагнiтне випромiнювання, довжина хвилi якого значно бiльша лiнiйних розмiрiв комах, отриманi iнтегральнi рiвняння визначенi в наближеннi квазiстатики. Це дозволило перетворити iнтегральнi рiвняння в систему лiнiйних неоднорiдних рiвнянь алгебри, рiшенням яких стали компоненти електричного поля всерединi личинок мух. Дослiдження проведенi для одношарових i двошарових комах елiпсоїдної форми. Отриманi поля дають можливiсть визначити величини потенцiалiв, що виникають на покриттi личинки, а також з'ясувати при яких значеннях вiдбувається пробiй цього покриття, тобто загибель личинки мухи. Для отримання залежностi, що зв'язує кiлькiсть iмаго з личинок мух з параметрами електромагнiтного випромiнювання при наявностi адитивної перешкоди випадкового характеру, може бути застосовано повнофакторне планування другого порядку. Впливом електромагнiтних полiв пiддавалися личинки мухи кiнця другого вiку. Опромiнення личинок мухи електромагнiтним випромiнюванням здiйснювалося в дiапазонi частот 10,2-9,8 ГГц, щiльнiстю потоку потужностi 0,62-0,38 мВт/см 2 i експозицiєю 2-12 с. Розвиток личинок спостерiгався до формування та виходу дорослої комахи. На основi багатофакторного експерименту знайдено оптимальнi значення частот опромiнення, щiльностi потоку потужностi i експозицiї. Для пригнiчення комах в тваринницьких примiщеннях, починаючи зi стадiї личинки i до виходу iмаго, необхiдне електромагнiтне випромiнювання з параметрами: частота 10,2 ГГц; щiльнiсть потоку потужностi 0,37 мВт/см 2 ; вiдносна нестабiльнiсть частоти генератора 10-8 ; експозицiя 6 с. Вихiд iмаго з лялечок личинок мух в тваринницькому примiщеннi, опромiнених електромагнiтним випромiнюванням, склав менше 5 %. Проведений експеримент з поросятами показав, що при хiмiчному методi обробки примiщення прирiст в живiй вазi склав 7,2 %, а при електромагнiтному способi-9,2 %. Менший прирiст в живiй вазi при хiмiчнiй обробцi пов'язаний з тим, що хiмiчний розчин негативно впливає не тiльки на мух i їх личинки, а й на тварин. Проведенi дослiдження можуть бути використанi для створення промислових установок по знищенню мух в тваринницьких примiщеннях Ключовi слова: знищення личинок мух, iнтегральнi рiвняння Максвелла, параметри електромагнiтного поля UDC 632.935.4

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“…Five semi-automatic traps, previously described by Klong-klaew et al (2017), were used to monitor adult C. rufifacies abundance. Briefly, the trap consisted of a rectangular metal case (40 × 40 × 60 cm) fitted with a mesh net (36 × 36 × 85 cm) using an elastic band that fits over the trap entrance.…”

Section: Fly Collectionmentioning

confidence: 99%

Daily and Seasonal Prevalence of the Blow Fly Chrysomya Rufifacies (Diptera: Calliphoridae) as Revealed by Semiautomatic Trap Collections in Suburban Chiang Mai Province, Northern Thailand

Klong-klaew

Sontigun

Sanit

et al. 2018

Florida Entomologist

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Field evaluation of a semi-automatic funnel trap targeted the medically important non-biting flies

Cited by 9 publications

References 46 publications

Spatial Distribution of Forensically Significant Blow Flies in Subfamily Luciliinae (Diptera: Calliphoridae), Chiang Mai Province, Northern Thailand: Observations and Modeling Using GIS

Spatial Distribution of Forensically Significant Blow Flies in Subfamily Luciliinae (Diptera: Calliphoridae), Chiang Mai Province, Northern Thailand: Observations and Modeling Using GIS

Determining the electromagnetic field parameters to kill flies at livestock facilities

Daily and Seasonal Prevalence of the Blow Fly Chrysomya Rufifacies (Diptera: Calliphoridae) as Revealed by Semiautomatic Trap Collections in Suburban Chiang Mai Province, Northern Thailand

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