Your search found 2 records
1 Ariyarathne, S.; Apanaskevich, D. A.; Amerasinghe, Priyanie H.; Rajakaruna, R. S. 2016. Diversity and distribution of tick species (Acari: Ixodidae) associated with human otoacariasis and socio-ecological risk factors of tick infestations in Sri Lanka. Experimental And Applied Acarology, 70(1):99-123. [doi: https://doi.org/10.1007/s10493-016-0056-z]
Biodiversity ; Ixodidae ; Ecology ; Infestation ; Tickborne diseases ; Risk factors ; Health hazards ; Domestic animals / Sri Lanka / Anuradhapura / Kandy / Kurunegala / Nuwara Eliya / Ratnapura
(Location: IWMI HQ Call no: e-copy only Record No: H048100)
Tick infestation in humans is a major public health concern. The diversity and distribution of tick species associated with human otoacariasis was studied in five districts: Anuradhapura, Kandy, Kurunegala, Nuwara Eliya and Ratnapura in the main agro-climatic zones of Sri Lanka. Ticks from patients attending the ear, nose and throat clinics of the General Hospitals were collected during a 3 year period. In total 426 ticks were collected. Most human otoacariasis cases were reported from Kandy (33.8 %) and the fewest from Nuwara Eliya (8.2 %). Of the five tick species identified, nymphs of Dermacentor auratus constituted 90.6 % of the collection. Rhipicephalus sanguineus, Hyalomma isaaci, Haemaphysalis bispinosa and Otobius megnini were found rarely infesting humans possibly as an accidental host; H. bispinosa and O. megnini in the human ear canal were first time records in Sri Lanka. Females and children under 10 years were identified as risk groups of human otoacariasis. Subsequently, a field study was carried out to determine socio-ecological risk factors of human tick infestations in the five districts. Based on hospital data, eight villages with high prevalence of otoacariasis were selected from each district. A total 40 villages were visited and 1674 household members were interviewed. Involvement in outdoor activities, presence of wild animals around the house, location of the house in close proximity to a forest and occupation were identified as major risk factors.
2 Ahmed, Z.; Shew, A. M.; Mondal, M. K.; Yadav, S.; Jagadish, S. V. K.; Prasad, P. V. V.; Buisson, Marie-Charlotte; Das, M.; Bakuluzzaman, M. 2022. Climate risk perceptions and perceived yield loss increases agricultural technology adoption in the polder areas of Bangladesh. Journal of Rural Studies, 94:274-286. [doi: https://doi.org/10.1016/j.jrurstud.2022.06.008]
Climate change adaptation ; Risk analysis ; Sustainable agriculture ; Sustainable intensification ; Technology ; Strategies ; Polders ; Coastal areas ; Yield losses ; Flooding ; Drought ; Salinity ; Infestation ; Farmers ; Socioeconomic environment ; Livelihoods / Bangladesh
(Location: IWMI HQ Call no: e-copy only Record No: H051300)
https://www.sciencedirect.com/science/article/pii/S0743016722001528/pdfft?md5=978a8c61ab73c444502170380e72e0d7&pid=1-s2.0-S0743016722001528-main.pdf
https://vlibrary.iwmi.org/pdf/H051300.pdf
https://vlibrary.iwmi.org/pdf/H051300.pdf
(4.12 MB) (4.12 MB)
The effects of climate change are likely to increase the frequency of flood, drought, and salinity events in the coastal areas of Bangladesh, posing many challenges for agrarian communities. Sustainable intensification in the form of improved agricultural management practices and new technologies may help farmers cope with stress and adapt to changing conditions. In this study, we explore how climate change perceptions of agricultural risk affect adaptation to climate change through technology adoption in a unique landscape: the polders of Bangladesh. In 2016, a survey was conducted in 1003 households living on these artificial, leveed islands facing the Bay of Bengal. We analyzed the responses from polder residents to construct a climate risk index which quantifies climate risk perception in this highly vulnerable agrarian landscape. We analyzed how polder demographics influence their perceptions about climatic change using seemingly unrelated regression (SUR). Further, by using three bivariate probit regression models, we estimated how the perception of climate risk drives the differential adoption of new agricultural technologies. Our findings show that farmers perceive polder agriculture as highly vulnerable to four environmental change factors: flooding, drought, salinity, and pest infestation. The SUR model suggests that farmer demographics, community group memberships, and access to different inputs and services strongly influence climatic risk perceptions. Findings also suggest that polder farmers with higher risk perceptions have a higher propensity to adopt both chemical and mechanical adaptation strategies. Cost, however, limits the ability of farmers to adopt improved technologies, suggesting an opportunity for institution-led approaches.
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