2022
DOI: 10.1016/j.pdisas.2022.100228
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Evaluating the network of stakeholders in Multi-Hazard Early Warning Systems for multiple hazards amidst biological outbreaks: Sri Lanka as a case in point

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Cited by 7 publications
(3 citation statements)
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“…In the case of Sri Lanka, many areas were severely affected by heavy winds, landslides and floods during monsoon seasons amid the COVID-19 pandemic in 2021 [ 17 ]. Nearly 245,212 people in 10 districts were affected due to heavy monsoon showers in May 2021, and again in late October, about 62,247 people in 17 districts were severely impacted by heavy showers and landslides [ 18 ]. This evidence emphasizes the need for global and domestic preparedness planning to combat multiple challenges caused by multi-hazards.…”
Section: Introductionmentioning
confidence: 99%
“…In the case of Sri Lanka, many areas were severely affected by heavy winds, landslides and floods during monsoon seasons amid the COVID-19 pandemic in 2021 [ 17 ]. Nearly 245,212 people in 10 districts were affected due to heavy monsoon showers in May 2021, and again in late October, about 62,247 people in 17 districts were severely impacted by heavy showers and landslides [ 18 ]. This evidence emphasizes the need for global and domestic preparedness planning to combat multiple challenges caused by multi-hazards.…”
Section: Introductionmentioning
confidence: 99%
“…In 2020, several Malaria infected people were also found in Sri Lanka (Ranaweera et al, 2020). Again the heavy monsoon hit 10 districts in 2020, especially the southern part of the country, causing a major ood event which caused 245,212 people to be displaced and 16 death within a month (Jayasekara et al, 2022). Meanwhile, with the rise of monsoon rainfall, cases of dengue became a critical juncture (DMC, 2021).…”
Section: Downstreammentioning
confidence: 99%
“…The SNA technique, named by John Barned, maps and measures relationships in a network of actors, formal and informal [60]. Recent disaster-related studies have been utilising SNA as a tool for evaluating the connections among different parties involved in implementing disaster management strategies [61][62][63][64]. However, there is a lack Social network analysis (SNA) was used to identify the networks of stakeholders who engage in post-flood management and marginalised community management (refer to Section 4.4).…”
mentioning
confidence: 99%