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• W4286378045 startingPage "e35840" @default.
• W4286378045 abstract "Background The COVID-19 Delta variant has presented an unprecedented challenge to countries in Southeast Asia (SEA). Its transmission has shown spatial heterogeneity in SEA after countries have adopted different public health interventions during the process. Hence, it is crucial for public health authorities to discover potential linkages between epidemic progression and corresponding interventions such that collective and coordinated control measurements can be designed to increase their effectiveness at reducing transmission in SEA. Objective The purpose of this study is to explore potential linkages between the spatiotemporal progression of the COVID-19 Delta variant and nonpharmaceutical intervention (NPI) measures in SEA. We detected the space-time clusters of outbreaks of COVID-19 and analyzed how the NPI measures relate to the propagation of COVID-19. Methods We collected district-level daily new cases of COVID-19 from June 1 to October 31, 2021, and district-level population data in SEA. We adopted prospective space-time scan statistics to identify the space-time clusters. Using cumulative prospective space-time scan statistics, we further identified variations of relative risk (RR) across each district at a half-month interval and their potential public health intervention linkages. Results We found 7 high-risk clusters (clusters 1-7) of COVID-19 transmission in Malaysia, the Philippines, Thailand, Vietnam, and Indonesia between June and August, 2021, with an RR of 5.45 (P<.001), 3.50 (P<.001), 2.30 (P<.001), 1.36 (P<.001), 5.62 (P<.001), 2.38 (P<.001), 3.45 (P<.001), respectively. There were 34 provinces in Indonesia that have successfully mitigated the risk of COVID-19, with a decreasing range between –0.05 and –1.46 due to the assistance of continuous restrictions. However, 58.6% of districts in Malaysia, Singapore, Thailand, and the Philippines saw an increase in the infection risk, which is aligned with their loosened restrictions. Continuous strict interventions were effective in mitigating COVID-19, while relaxing restrictions may exacerbate the propagation risk of this epidemic. Conclusions The analyses of space-time clusters and RRs of districts benefit public health authorities with continuous surveillance of COVID-19 dynamics using real-time data. International coordination with more synchronized interventions amidst all SEA countries may play a key role in mitigating the progression of COVID-19." @default.
• W4286378045 created "2022-07-21" @default.
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• W4286378045 date "2022-08-09" @default.
• W4286378045 modified "2023-09-26" @default.
• W4286378045 title "Investigating Linkages Between Spatiotemporal Patterns of the COVID-19 Delta Variant and Public Health Interventions in Southeast Asia: Prospective Space-Time Scan Statistical Analysis Method" @default.
• W4286378045 cites W1991370590 @default.
• W4286378045 cites W2002151188 @default.
• W4286378045 cites W2799949510 @default.
• W4286378045 cites W3008443627 @default.
• W4286378045 cites W3012108358 @default.
• W4286378045 cites W3012678476 @default.
• W4286378045 cites W3013874785 @default.
• W4286378045 cites W3014680059 @default.
• W4286378045 cites W3019445951 @default.
• W4286378045 cites W3022210384 @default.
• W4286378045 cites W3023609288 @default.
• W4286378045 cites W3026229026 @default.
• W4286378045 cites W3033503930 @default.
• W4286378045 cites W3034038411 @default.
• W4286378045 cites W3036557391 @default.
• W4286378045 cites W3037420717 @default.
• W4286378045 cites W3038514029 @default.
• W4286378045 cites W3040137888 @default.
• W4286378045 cites W3042348109 @default.
• W4286378045 cites W3043187968 @default.
• W4286378045 cites W3047577433 @default.
• W4286378045 cites W3048376827 @default.
• W4286378045 cites W3049470760 @default.
• W4286378045 cites W3083081279 @default.
• W4286378045 cites W3092846951 @default.
• W4286378045 cites W3104466644 @default.
• W4286378045 cites W3110253544 @default.
• W4286378045 cites W3111355788 @default.
• W4286378045 cites W3111564425 @default.
• W4286378045 cites W3113043360 @default.
• W4286378045 cites W3117468040 @default.
• W4286378045 cites W3118598290 @default.
• W4286378045 cites W3119323426 @default.
• W4286378045 cites W3120083655 @default.
• W4286378045 cites W3122275516 @default.
• W4286378045 cites W3131446085 @default.
• W4286378045 cites W3134086897 @default.
• W4286378045 cites W3134692574 @default.
• W4286378045 cites W3134729519 @default.
• W4286378045 cites W3135041244 @default.
• W4286378045 cites W3135316746 @default.
• W4286378045 cites W3139824664 @default.
• W4286378045 cites W3142918404 @default.
• W4286378045 cites W3148769126 @default.
• W4286378045 cites W3150896683 @default.
• W4286378045 cites W3155096476 @default.
• W4286378045 cites W3158956735 @default.
• W4286378045 cites W3159262133 @default.
• W4286378045 cites W3161539687 @default.
• W4286378045 cites W3164443714 @default.
• W4286378045 cites W3178355470 @default.
• W4286378045 cites W3184964873 @default.
• W4286378045 cites W3189066056 @default.
• W4286378045 cites W3189666373 @default.
• W4286378045 cites W3192259771 @default.
• W4286378045 cites W3192793174 @default.
• W4286378045 cites W3193687157 @default.
• W4286378045 cites W3193938173 @default.
• W4286378045 cites W3194218007 @default.
• W4286378045 cites W3194978148 @default.
• W4286378045 cites W3199316989 @default.
• W4286378045 cites W3201562580 @default.
• W4286378045 cites W3206349490 @default.
• W4286378045 cites W3206540036 @default.
• W4286378045 cites W3210722768 @default.
• W4286378045 cites W3214208990 @default.
• W4286378045 cites W3216093197 @default.
• W4286378045 cites W4205366192 @default.
• W4286378045 cites W4206071945 @default.
• W4286378045 cites W4221001493 @default.
• W4286378045 cites W4226159960 @default.
• W4286378045 doi "https://doi.org/10.2196/35840" @default.
• W4286378045 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35861674" @default.
• W4286378045 hasPublicationYear "2022" @default.
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