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1.
NeuroQuantology ; 21(5):670-679, 2023.
Article in English | EMBASE | ID: covidwho-2263662

ABSTRACT

Aim: Bystander cardiopulmonary resuscitation (CPR) combined with public-access defibrillation has been shown to enhance overall survival for out-of-hospital cardiac arrest. This is one of top reasons of mortality across the globe. The COVID-19 global epidemic has modeled numerous problems for emergency medical services, along with reference of compression-only resuscitation also guidelines for comprehensive protective equipment. These suggestions and advice have created shortcomings and protracted fast response. On the other hand, the risk variables that determine the results of OHCA while the pandemic is ongoing are not well established. The main aim of our research remained to exploremedical features in addition results of OHCA individuals in Pakistan both before and after the COVID-19 epidemic. Method(s): The electronic medical records and paper records kept by EMS were utilized to compile the data for this single-center, retrospective observational analysis. The number of emergency hospital returns based on varying qualities in Sir Ganga Ram Hospitalized patients during and prior to the COVID-19 pandemic in Pakistan were collected. Patients with OHCA who went to the emergency department at Sir Ganga Ram Hospital in Lahore before the COVID-19 pandemic (April 2019 to March 2020) were identified. Result(s): Here were a total of 145 patients who participated in this study (80 males, or 58.2% of the total;mean [SD] age, 64.7 years);64 among those individuals contributed in our currentresearch during the COVID-19 era, and 75 among those individuals contributed in our currentresearch before COVID-19 period. Bystander witnessing and method of chest compression was always the two general baseline features that were found to be substantially different between the two groups (p-values of less than 0.002 and less than 0.002, accordingly). Duringthe COVID-19 era, the ED ROSC was substantially lower than it had been before the COVID-19 period (25.68 percent vs 45.04 percent;adjusted odds ratio of 0.22;p-value less than 0.002) Survival to admission remainedsuggestivelyinferiorthroughout COVID-19 phase compared to the previous time period (26.01 percent vs 41.78 percent, accustomed odds ratio of 0.27, p-value of 0.006). On the other hand, there was no important statistically substantial difference in the 28-day survival rates (4.5% throughout COVID-19 era also 11.54% earlier COVID-19 period). Conclusion(s): Patients who had cardiac arrest outside of a hospital in Pakistan had a much lower chance of surviving long enough to be admitted during the COVID-19 epidemic that occurred there. In addition, the two groups' witness reactions and methods of cardiopulmonary resuscitation couldn't have been more different from one another.Copyright © 2023, Anka Publishers. All rights reserved.

2.
2021 International Conference on Disaster Mitigation and Management, ICDMM 2021 ; 331, 2021.
Article in English | Scopus | ID: covidwho-2212073

ABSTRACT

The natural disaster in pandemic covid-19 will still ongoing in East Java, Indonesia. Apart from the virus pandemic, there are still several potential disasters in that sub-district, namely floods and landslides. Many disasters have occurred resulting in the need for people living in the area to anticipate, especially if the three disasters occur simultaneously. In Malang, this case of sub-district apparatus and the BPBD Malang City has not been able to optimally help restore the condition of the community due to the complexity of conditions that occur in the field. Therefore, the community needs to know their capacity to be able to anticipate if it is two or three will happen. Capacity is a combination of all the forces that exist in a community, social or organizational group that can reduce the impact of disaster risk or impact (UN-ISDR, 2004). The capacity assessment in this study identifies the capitals owned by the community. These capitals include natural, human, physical, financial, and social capital. The five capitals will later be described in the pentagon assets so that it will be known which capacities in the capital are the strengths and weaknesses of the people of Dinoyo and Sukun sub-district. © The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/)

3.
Nguyen, T.; Qureshi, M.; Martins, S.; Yamagami, H.; Qiu, Z.; Mansour, O.; Czlonkowska, A.; Abdalkader, M.; Sathya, A.; de Sousa, D. A.; Demeestere, J.; Mikulik, R.; Vanacker, P.; Siegler, J.; Korv, J.; Biller, J.; Liang, C.; Sangha, N.; Zha, A.; Czap, A.; Holmstedt, C.; Turan, T.; Grant, C.; Ntaios, G.; Malhotra, K.; Tayal, A.; Loochtan, A.; Mistry, E.; Alexandrov, A.; Huang, D.; Yaghi, S.; Raz, E.; Sheth, S.; Frankel, M.; Lamou, E. G. B.; Aref, H.; Elbassiouny, A.; Hassan, F.; Mustafa, W.; Menecie, T.; Shokri, H.; Roushdy, T.; Sarfo, F. S.; Alabi, T.; Arabambi, B.; Nwazor, E.; Sunmonu, T. A.; Wahab, K. W.; Mohammed, H. H.; Adebayo, P. B.; Riahi, A.; Ben Sassi, S.; Gwaunza, L.; Rahman, A.; Ai, Z. B.; Bai, F. H.; Duan, Z. H.; Hao, Y. G.; Huang, W. G.; Li, G. W.; Li, W.; Liu, G. Z.; Luo, J.; Shang, X. J.; Sui, Y.; Tian, L.; Wen, H. B.; Wu, B.; Yan, Y. Y.; Yuan, Z. Z.; Zhang, H.; Zhang, J.; Zhao, W. L.; Zi, W. J.; Leung, T. K.; Sahakyan, D.; Chugh, C.; Huded, V.; Menon, B.; Pandian, J.; Sylaja, P. N.; Usman, F. S.; Farhoudi, M.; Sadeghi-Hokmabadi, E.; Reznik, A.; Sivan-Hoffman, R.; Horev, A.; Ohara, N.; Sakai, N.; Watanabe, D.; Yamamoto, R.; Doijiri, R.; Tokuda, N.; Yamada, T.; Terasaki, T.; Yazawa, Y.; Uwatoko, T.; Dembo, T.; Shimizu, H.; Sugiura, Y.; Miyashita, F.; Fukuda, H.; Miyake, K.; Shimbo, J.; Sugimura, Y.; Yagita, Y.; Takenobu, Y.; Matsumaru, Y.; Yamada, S.; Kono, R.; Kanamaru, T.; Yamazaki, H.; Sakaguchi, M.; Todo, K.; Yamamoto, N.; Sonodda, K.; Yoshida, T.; Hashimoto, H.; Nakahara, I.; Faizullina, K.; Kamenova, S.; Kondybayeva, A.; Zhanuzakov, M.; Baek, J. H.; Hwang, Y.; Lee, S. B.; Moon, J.; Park, H.; Seo, J. H.; Seo, K. D.; Young, C. J.; Ahdab, R.; Aziz, Z. A.; Zaidi, W. A. W.; Bin Basri, H.; Chung, L. W.; Husin, M.; Ibrahim, A. B.; Ibrahim, K. A.; Looi, I.; Tan, W. Y.; Yahya, Wnnw, Groppa, S.; Leahu, P.; Al Hashmi, A.; Imam, Y. Z.; Akhtar, N.; Oliver, C.; Kandyba, D.; Alhazzani, A.; Al-Jehani, H.; Tham, C. H.; Mamauag, M. J.; Narayanaswamy, R.; Chen, C. H.; Tang, S. C.; Churojana, A.; Aykac, O.; Ozdemir, A. O.; Hussain, S. I.; John, S.; Vu, H. L.; Tran, A. D.; Nguyen, H. H.; Thong, P. N.; Nguyen, T.; Nguyen, T.; Gattringer, T.; Enzinger, C.; Killer-Oberpfalzer, M.; Bellante, F.; De Blauwe, S.; Van Hooren, G.; De Raedt, S.; Dusart, A.; Ligot, N.; Rutgers, M.; Yperzeele, L.; Alexiev, F.; Sakelarova, T.; Bedekovic, M. R.; Budincevic, H.; Cindric, I.; Hucika, Z.; Ozretic, D.; Saric, M. S.; Pfeifer, F.; Karpowicz, I.; Cernik, D.; Sramek, M.; Skoda, M.; Hlavacova, H.; Klecka, L.; Koutny, M.; Vaclavik, D.; Skoda, O.; Fiksa, J.; Hanelova, K.; Nevsimalova, M.; Rezek, R.; Prochazka, P.; Krejstova, G.; Neumann, J.; Vachova, M.; Brzezanski, H.; Hlinovsky, D.; Tenora, D.; Jura, R.; Jurak, L.; Novak, J.; Novak, A.; Topinka, Z.; Fibrich, P.; Sobolova, H.; Volny, O.; Christensen, H. K.; Drenck, N.; Iversen, H.; Simonsen, C.; Truelsen, T.; Wienecke, T.; Vibo, R.; Gross-Paju, K.; Toomsoo, T.; Antsov, K.; Caparros, F.; Cordonnier, C.; Dan, M.; Faucheux, J. M.; Mechtouff, L.; Eker, O.; Lesaine, E.; Ondze, B.; Pico, F.; Pop, R.; Rouanet, F.; Gubeladze, T.; Khinikadze, M.; Lobjanidze, N.; Tsiskaridze, A.; Nagel, S.; Ringleb, P. A.; Rosenkranz, M.; Schmidt, H.; Sedghi, A.; Siepmann, T.; Szabo, K.; Thomalla, G.; Palaiodimou, L.; Sagris, D.; Kargiotis, O.; Kaliaev, A.; Liebeskind, D.; Hassan, A.; Ranta, A.; Devlin, T.; Zaidat, O.; Castonguay, A.; Jovin, T.; Tsivgoulis, G.; Malik, A.; Ma, A.; Campbell, B.; Kleinig, T.; Wu, T.; Gongora, F.; Lavados, P.; Olavarria, V.; Lereis, V. P.; Corredor, A.; Barbosa, D. M.; Bayona, H.; Barrientos, J. D.; Patino, M.; Thijs, V.; Pirson, A.; Kristoffersen, E. S.; Patrik, M.; Fischer, U.; Bernava, G.; Renieri, L.; Strambo, D.; Ayo-Martin, O.; Montaner, J.; Karlinski, M.; Cruz-Culebras, A.; Luchowski, P.; Krastev, G.; Arenillas, J.; Gralla, J.; Mangiafico, S.; Blasco, J.; Fonseca, L.; Silva, M. L.; Kwan, J.; Banerjee, S.; Sangalli, D.; Frisullo, G.; Yavagal, D.; Uyttenboogaart, M.; Bandini, F.; Adami, A.; de Lecina, M. A.; Arribas, M. A. T.; Ferreira, P.; Cruz, V. T.; Nunes, A. P.; Marto, J. P.; Rodrigues, M.; Melo, T.; Saposnik, G.; Scott, C. A.; Shuaib, A.; Khosravani, H.; Fields, T.; Shoamanesh, A.; Catanese, L.; Mackey, A.; Hill, M.; Etherton, M.; Rost, N.; Lutsep, H.; Lee, V.; Mehta, B.; Pikula, A.; Simmons, M.; Macdougall, L.; Silver, B.; Khandelwal, P.; Morris, J.; Novakovic-White, R.; Ramakrishnan, P.; Shah, R.; Altschul, D.; Almufti, F.; Amaya, P.; Ordonez, C. E. R.; Lara, O.; Kadota, L. R.; Rivera, L. I. P.; Novarro, N.; Escobar, L. D.; Melgarejo, D.; Cardozo, A.; Blanco, A.; Zelaya, J. A.; Luraschi, A.; Gonzalez, V. H. N.; Almeida, J.; Conforto, A.; Almeida, M. S.; Silva, L. D.; Cuervo, D. L. M.; Zetola, V. F.; Martins, R. T.; Valler, L.; Giacomini, L. V.; Cardoso, F. B.; Sahathevan, R.; Hair, C.; Hankey, G.; Salazar, D.; Lima, F. O.; Mont'Alverne, F.; Moises, D.; Iman, B.; Magalhaes, P.; Longo, A.; Rebello, L.; Falup-Pecurariu, C.; Mazya, M.; Wisniewska, A.; Fryze, W.; Kazmierski, R.; Wisniewska, M.; Horoch, E.; Sienkiewicz-Jarosz, H.; Fudala, M.; Rogoziewicz, M.; Brola, W.; Sobolewski, P.; Kaczorowski, R.; Stepien, A.; Klivenyi, P.; Szapary, L.; van den Wijngaard, I.; Demchuk, A.; Abraham, M.; Alvarado-Ortiz, T.; Kaushal, R.; Ortega-Gutierrez, S.; Farooqui, M.; Bach, I.; Badruddin, A.; Barazangi, N.; Nguyen, C.; Brereton, C.; Choi, J. H.; Dharmadhikari, S.; Desai, K.; Doss, V.; Edgell, R.; Linares, G.; Frei, D.; Chaturvedi, S.; Gandhi, D.; Chaudhry, S.; Choe, H.; Grigoryan, M.; Gupta, R.; Helenius, J.; Voetsch, B.; Khwaja, A.; Khoury, N.; Kim, B. S.; Kleindorfer, D.; McDermott, M.; Koyfman, F.; Leung, L.; Linfante, I.; Male, S.; Masoud, H.; Min, J. Y.; Mittal, M.; Multani, S.; Nahab, F.; Nalleballe, K.; Rahangdale, R.; Rafael, J.; Rothstein, A.; Ruland, S.; Sharma, M.; Singh, A.; Starosciak, A.; Strasser, S.; Szeder, V.; Teleb, M.; Tsai, J.; Mohammaden, M.; Pineda-Franks, C.; Asyraf, W.; Nguyen, T. Q.; Tarkanyi, G.; Horev, A.; Haussen, D.; Balaguera, O.; Vasquez, A. R.; Nogueira, R..
Neurology ; 96(15):42, 2021.
Article in English | Web of Science | ID: covidwho-1576349
4.
IOP Conference Series. Earth and Environmental Science ; 916(1), 2021.
Article in English | ProQuest Central | ID: covidwho-1556822

ABSTRACT

The southern coast of Java Island, one of which is Sumbermanjing Wetan District, Malang Regency, is considered prone to the geological disaster tsunami. Sumbermanjing Wetan District is directly adjacent to the Indian Ocean, a seismic gap zone that produces geological processes and high-intensity seismic activity that can trigger tsunami waves. On June 13, 2021, the COVID-19 outbreak in Sumbermanjing Wetan District recorded 90 suspected cases (two were hospitalized and the other 88 were self-isolating at home), and 38 were confirmed positive for COVID-19 (34 recovered and 4 died). This research focuses on evacuation plans for coastal areas from the threat of a tsunami during the pandemic and the new normal era. The sub-variables for determining the shelters include building area, type of building, ease of access, building construction, and capacity. The sub-variables for determining the evacuation route include road class, pavement type, and road width. Meanwhile, the sub-variables for implementing health protocols in the new normal era are maintaining distance, wearing masks, washing hands, special treatment for symptomatic refugees, and implementing other health protocols. The implementation of health protocols in evacuation activities will bring an impact on the reduction of the available shelter’s capacity. The study results indicate the need for additional new shelters to implement health protocols in the new normal era. With this addition, it will impact the travel time from the residential areas at risk of tsunami impacts to the shelters. One of the reasons is that the closest shelter to the residential area is already full of refugees, so the refugees have to move and evacuate to the other shelters that can still accommodate them.

5.
IOP Conference Series. Earth and Environmental Science ; 916(1), 2021.
Article in English | ProQuest Central | ID: covidwho-1556794

ABSTRACT

The coastal area of Watulimo District is included as a tsunami-prone area that is directly adjacent to the Indian Ocean. The Indian Ocean is the subduction zone of the Indo-Australian Plate and the Eurasian Plate, which results in geological processes and high-intensity seismic activities that can trigger tsunamis. On the other hand, in the new normal era, the coast of Watulimo District includes a high-level COVID-19 zone with 74 cumulative cases, comprising 6 active cases, 54 recovered cases, and 14 deaths. The study aimed to examine the level of capacity of coastal communities in Watulimo District, Trenggalek Regency, based on five livelihood capitals (natural capital, financial, physical, human, and social capital) to reduce tsunami disaster risk in the new normal era. The analytical method used in this research consisted of scoring analysis and pentagon assets analysis. The capacity of the coastal community in Watulimo District shows that the sub-villages with high capacity are Gading, Prigi, and Ketawang Sub-villages. On the other hand, the sub-villages with medium capacity are Gandu, Tirto, Gendingan, Sumber, and Gares Sub-villages. Meanwhile, the sub-village with low capacity is Karanggongso Sub-village, due to the low human capital and social capital. Therefore, in efforts to reduce disaster risk, the area that needs to be prioritized for handling is Karanggongso Sub-village through improvements in social conditions, one of which is by prioritizing education levels, such as training related to the threat of the tsunami disaster and the COVID-19 outbreak.

6.
IOP Conference Series. Earth and Environmental Science ; 916(1), 2021.
Article in English | ProQuest Central | ID: covidwho-1556741

ABSTRACT

Throughout 2016-2021, there were 31 landslides that have caused physical, economic, and social damages. Bumiaji Sub-District has several tourist destinations that are potentially exposed to landslides. This study aims to create a landslide risk map in Bumiaji Sub-District. This research was conducted during the COVID-19 pandemic situation. Therefore, the data collected was secondary data obtained from Google satellite images, Google Street View, the digital elevation model from the National Geospatial Institution, and other literature reviews. The data was then analysed using a landslide risk assessment based on Perka BNPB Number 2/2012. The results of this risk analysis show that Bumiaji Sub-District is dominated by low-level risk (48%), followed by high-level risk (30%), and medium-level risk (15%). High-risk level is affected by high hazards and vulnerabilities, especially in Giripurno Village. High hazard level is affected by high intensity of rainfall, slope degree, the sensitivity of soil to erosion, and the type of land cover. High vulnerabilities are affected by physical, social, and economic aspects susceptible to losses.

7.
Nguyen, T.; Qureshi, M.; Martins, S.; Yamagami, H.; Qiu, Z.; Mansour, O.; Czlonkowska, A.; Abdalkader, M.; Sathya, A.; Sousa, D. A.; Demeester, J.; Mikulik, R.; Vanacker, P.; Siegler, J.; Korv, J.; Biller, J.; Liang, C.; Sangha, N.; Zha, A.; Czap, A.; Holmstedt, C.; Turan, T.; Grant, C.; Ntaios, G.; Malhotra, K.; Tayal, A.; Loochtan, A.; Mistry, E.; Alexandrov, A.; Huang, D.; Yaghi, S.; Raz, E.; Sheth, S.; Frankel, M.; Lamou, E. G. B.; Aref, H.; Elbassiouny, A.; Hassan, F.; Mustafa, W.; Menecie, T.; Shokri, H.; Roushdy, T.; Sarfo, F. S.; Alabi, T.; Arabambi, B.; Nwazor, E.; Sunmonu, T. A.; Wahab, K. W.; Mohammed, H. H.; Adebayo, P. B.; Riahi, A.; Sassi, S. B.; Gwaunza, L.; Rahman, A.; Ai, Z.; Bai, F.; Duan, Z.; Hao, Y.; Huang, W.; Li, G.; Li, W.; Liu, G.; Luo, J.; Shang, X.; Sui, Y.; Tian, L.; Wen, H.; Wu, B.; Yan, Y.; Yuan, Z.; Zhang, H.; Zhang, J.; Zhao, W.; Zi, W.; Leung, T. K.; Sahakyan, D.; Chugh, C.; Huded, V.; Menon, B.; Pandian, J.; Sylaja, P. N.; Usman, F. S.; Farhoudi, M.; Sadeghi-Hokmabadi, E.; Reznik, A.; Sivan-Hoffman, R.; Horev, A.; Ohara, N.; Sakai, N.; Watanabe, D.; Yamamoto, R.; Doijiri, R.; Kuda, N.; Yamada, T.; Terasaki, T.; Yazawa, Y.; Uwatoko, T.; Dembo, T.; Shimizu, H.; Sugiura, Y.; Miyashita, F.; Fukuda, H.; Miyake, K.; Shimbo, J.; Sugimura, Y.; Yagita, Y.; Takenobu, Y.; Matsumaru, Y.; Yamada, S.; Kono, R.; Kanamaru, T.; Yamazaki, H.; Sakaguchi, M.; Todo, K.; Yamamoto, N.; Sonodda, K.; Yoshida, T.; Hashimoto, H.; Nakahara, I.; Faizullina, K.; Kamenova, S.; Kondybayev, A.; Zhanuzakov, M.; Baek, J. H.; Hwang, Y.; Lee, S. B.; Moon, J.; Park, H.; Seo, J. H.; Seo, K. D.; Young, C. J.; Ahdab, R.; Aziz, Z. A.; Zaidi, W. A. W.; Basr, H. B.; Chung, L. W.; Husin, M.; Ibrahim, A. B.; Ibrahim, K. A.; Looi, I.; Tan, W. Y.; Yahya, W. N. W.; Groppa, S.; Leahu, P.; Hashmi, A. A.; Imam, Y. Z.; Akhtar, N.; Oliver, C.; Kandyba, D.; Alhazzani, A.; Al-Jehani, H.; Tham, C. H.; Mamauag, M. J.; Narayanaswamy, R.; Chen, C. H.; Tang, S. C.; Churojana, A.; Aykaç, O.; Özdemir, A.; Hussain, S. I.; John, S.; Vu, H. L.; Tran, A. D.; Nguyen, H. H.; Thong, P. N.; Nguyen, T.; Nguyen, T.; Gattringer, T.; Enzinger, C.; Killer-Oberpfalzer, M.; Bellante, F.; Deblauwe, S.; Hooren, G. V.; Raedt, S. D.; Dusart, A.; Ligot, N.; Rutgers, M.; Yperzeele, L.; Alexiev, F.; Sakelarova, T.; Bedekovic, M.; Budincevic, H.; Cindric, I.; Hucika, Z.; Ozretic, D.; Saric, M. S.; Pfeifer, F.; Karpowicz, I.; Cernik, D.; Sramek, M.; Skoda, M.; Hlavacova, H.; Klecka, L.; Koutny, M.; Skoda, O.; Fiksa, J.; Hanelova, K.; Nevsimalova, M.; Rezek, R.; Prochazka, P.; Krejstova, G.; Neumann, J.; Vachova, M.; Brzezanski, H.; Hlinovsky, D.; Tenora, D.; Jura, R.; Jurak, L.; Novak, J.; Novak, A.; Topinka, Z.; Fibrich, P.; Sobolova, H.; Volny, O.; Christensen, H. K.; Drenck, N.; Iversen, H.; Simonsen, C.; Truelsen, T.; Wienecke, T.; Vibo, R.; Gross-Paju, K.; Toomsoo, T.; Antsov, K.; Caparros, F.; Cordonnier, C.; Dan, M.; Faucheux, J. M.; Mechtouff, L.; Eker, O.; Lesaine, E.; Pico, F.; Pop, R.; Rouanet, F.; Gubeladze, T.; Khinikadze, M.; Lobjanidze, N.; Tsiskaridze, A.; Nagel, S.; Arthurringleb, P.; Rosenkranz, M.; Schmidt, H.; Sedghi, A.; Siepmann, T.; Szabo, K.; Thomalla, G.; Palaiodimou, L.; Sagris, D.; Kargiotis, O.; Kaliaev, A.; Liebeskind, D.; Hassan, A.; Ranta, A.; Devlin, T.; Zaidat, O.; Castonguay, A.; Jovin, T.; Tsivgoulis, G.; Malik, A.; Ma, A.; Campbel, B.; Kleinig, T.; Wu, T.; Gongora, F.; Lavados, P.; Olavarria, V.; Lereis, V. P.; Corredor, A.; Barbosa, D. M.; Bayona, H.; Barrientos, J. D.; Patino, M.; Thijs, V.; Pirson, A.; Kristoffersen, E. S.; Patrik, M.; Fischer, U.; Bernava, G.; Renieri, L.; Strambo, D.; Ayo-Martin, O.; Montaner, J.; Karlinski, M.; Cruz-Culebras, A.; Luchowski, P.; Krastev, G.; Arenillas, J.; Gralla, J.; Mangiafico, S.; Blasco, J.; Fonseca, L.; Silva, M. L.; Kwan, J.; Banerjee, S.; Sangalli, D.; Frisullo, G.; Yavagal, D.; Uyttenboogaart, M.; Bandini, F.; Adami, A.; Lecina, M. A. D.; Arribas, M. A. T.; Ferreira, P.; Cruz, V. T.; Nunes, A. P.; Marto, J. P.; Rodrigues, M.; Melo, T.; Saposnik, G.; Scott, C. A.; Shuaib, A.; Khosravani, H.; Fields, T.; Shoamanesh, A.; Catanese, L.; MacKey, A.; Hill, M.; Etherton, M.; Rost, N.; Lutsep, H.; Lee, V.; Mehta, B.; Pikula, A.; Simmons, M.; MacDougall, L.; Silver, B.; Khandelwal, P.; Morris, J.; Novakovic-White, R.; Shah, R.; Altschul, D.; Almufti, F.; Amaya, P.; Ordonez, C. E. R.; Lara, O.; Kadota, L. R.; Rivera, L. I.; Novarro, N.; Escobar, L. D.; Melgarejo, D.; Cardozo, A.; Blanco, A.; Zelaya, J. A.; Luraschi, A.; Gonzalez, V. H.; Almeida, J.; Conforto, A.; Almeida, M. S.; Silva, L. D. D.; Cuervo, D. L. M.; Zetola, V. F.; Martins, R. T.; Valler, L.; Giacomini, L. V.; Buchdidcardoso, F.; Sahathevan, R.; Hair, C.; Hankey, G.; Salazar, D.; Lima, F. O.; Mont'alverne, F.; Iman, D. M. B.; Longo, A.; Rebello, L.; Falup-Pecurariu, C.; Mazya, M.; Wisniewska, A.; Fryze, W.; Kazmierski, R.; Wisniewska, M.; Horoch, E.; Sienkiewicz-Jarosz, H.; Fudala, M.; Goziewicz, M.; Brola, W.; Sobolewski, P.; Kaczorowski, R.; Stepien, A.; Klivenyi, P.; Szapary, L.; Wijngaard, I. V. D.; Demchuk, A.; Abraham, M.; Alvarado-Ortiz, T.; Kaushal, R.; Ortega-Gutierrez, S.; Farooqui, M.; Bach, I.; Badruddin, A.; Barazangi, N.; Nguyen, C.; Brereton, C.; Choi, J. H.; Dharmadhikari, S.; Desai, K.; Doss, V.; Edgell, R.; Linares, G.; Frei, D.; Chaturvedi, S.; Gandhi, D.; Chaudhry, S.; Choe, H.; Grigoryan, M.; Gupta, R.; Helenius, J.; Voetsch, B.; Khwaja, A.; Khoury, N.; Kim, B. S.; Kleindorfer, D.; McDermott, M.; Koyfman, F.; Leung, L.; Linfante, I.; Male, S.; Masoud, H.; Min, J.; Mittal, M.; Multani, S.; Nahab, F.; Nalleballe, K.; Rahangdale, R.; Rafael, J.; Rothstein, A.; Ruland, S.; Sharma, M.; Singh, A.; Starosciak, A.; Strasser, S.; Szeder, V.; Teleb, M.; Tsai, J.; Mohammaden, M.; Pineda-Franks, C.; Asyraf, W.; Nguyen, T. Q.; Tarkanyi, A.; Haussen, D.; Balaguera, O.; Rodriguezvasquez, A.; Nogueira, R..
Neurology ; 96(15 SUPPL 1), 2021.
Article in English | EMBASE | ID: covidwho-1407898

ABSTRACT

Objective: The objectives of this study were to measure the global impact of the pandemic on the volumes for intravenous thrombolysis (IVT), IVT transfers, and stroke hospitalizations over 4 months at the height of the pandemic (March 1 to June 30, 2020) compared with two control 4-month periods. Background: The COVID-19 pandemic led to widespread repercussions on the delivery of health care worldwide. Design/Methods: We conducted a cross-sectional, observational, retrospective study across 6 continents, 70 countries, and 457 stroke centers. Diagnoses were identified by ICD-10 codes and/or classifications in stroke center databases. Results: There were 91,373 stroke admissions in the 4 months immediately before compared to 80,894 admissions during the pandemic months, representing an 11.5% (95%CI,-11.7 to-11.3, p<0.0001) decline. There were 13,334 IVT therapies in the 4 months preceding compared to 11,570 procedures during the pandemic, representing a 13.2% (95%CI,-13.8 to-12.7, p<0.0001) drop. Interfacility IVT transfers decreased from 1,337 to 1,178, or an 11.9% decrease (95%CI,-13.7 to-10.3, p=0.001). There were greater declines in primary compared to comprehensive stroke centers (CSC) for stroke hospitalizations (-17.3% vs-10.3%, p<0.0001) and IVT (-15.5% vs-12.6%, p=0.0001). Recovery of stroke hospitalization volume (9.5%, 95%CI 9.2-9.8, p<0.0001) was noted over the two later (May, June) versus the two earlier (March, April) months of the pandemic, with greater recovery in hospitals with lower COVID-19 hospitalization volume, high volume stroke center, and CSC. There was a 1.48% stroke rate across 119,967 COVID-19 hospitalizations. SARS-CoV-2 infection was noted in 3.3% (1,722/52,026) of all stroke admissions. Conclusions: The COVID-19 pandemic was associated with a global decline in the volume of stroke hospitalizations, IVT, and interfacility IVT transfers. Primary stroke centers and centers with higher COVID19 inpatient volumes experienced steeper declines. Recovery of stroke hospitalization was noted in the later pandemic months, with greater recovery in hospitals with lower COVID-19 hospitalizations, high volume stroke centers, and CSCs.

8.
Journal of Cardiovascular Disease Research ; 12(4):576-584, 2021.
Article in English | CAB Abstracts | ID: covidwho-1365961

ABSTRACT

The disaster arises when threats meet vulnerable people who have low ability or do not have the ability to respond to the threat. Preparedness is the most critical phase in the range of disaster management, the inadequacy of disaster preparedness planning has created a critical situation, increasing the suffering of survivors and loss of life. The purpose of this study is to analyse social capital factors that most influence the family preparedness to face the impact of pandemic covid-19 as disaster in Malang City. This research uses descriptive analytic design with Cross sectional study approach. Respondent in this research is 112 Head of Family (KK) by using systematic random sampling. This research was conducted in two sub-districts namely Sukunand Dinoyo. Chi square test results show that there is a social capital relationship (p=0.000) towards family preparedness to face the impact of disaster in Malang city. Logistic regression test results show that social capital has the strongest strength of relationship (p= 0.024, OR= 2.75) than other factors. This result shows there is a positive relationship between family social capital in facing pandemic covid -19 disaster impact in Malang City. This means that good social capital will increase the family preparedness in the face of disaster impact. The results of this study are expected to be the basis and reference materials for disaster nursing services as well as the basis for the local government of Malang to encourage the positive attitude of the family towards preparedness by utilizing social capital as an important component and utilize social cohesion and social network in disaster planning and management, will prepare for disaster. Eliminate the obstacles of disaster preparedness such as negative attitudes toward preparedness, lack of participation, unrealistic risk assessment with disaster preparedness training and campaigns during pandemic Covid-19.

9.
IOP Conference Series. Earth and Environmental Science ; 708(1), 2021.
Article in English | ProQuest Central | ID: covidwho-1203574

ABSTRACT

COVID-19 pandemic had influenced various aspects of community activities such as health, education and socio-economic. The effect of economic activities had caused many people to experience a decrease in income and loss of work due to the laid-off of informal workers. Overall, this unprecedented situation had led to an increase in the new poverty rate. In Palembang, based on the Non–DTKS (Integrated Social Welfare Data) data, the number of new poor affected by COVID-19 pandemic was 30,765 people. Therefore, the new poor needed to be responded immediately, and the aid distribution needed to be followed up. This paper presents the development of a web-based operation dashboard in Geographic Information System to map the distribution of people categorized in poverty and new poor affected by the pandemic. The operational dashboard functioned as aid distribution activity monitoring. The type of aid, the number of people receiving the aid was recorded using the geo-tagging capabilities. By having this system, the community centres set up by the sub-district office would have an operational dashboard to monitor activities and examining the aid distribution.

10.
IOP Conference Series. Earth and Environmental Science ; 708(1), 2021.
Article in English | ProQuest Central | ID: covidwho-1203571

ABSTRACT

A new virus emerged, which initially called Novel Corona Virus 2019 and later officially named Coronavirus disease 2019, COVID-19. The COVID-19 spread globally in less than a year since its outbreak in Wuhan, China, as the epicenter. The pandemic was beginning at the end of December 2019, and the World Health Organization just announced as a pandemic in early March 2020. With extremely fast commuting people, the spread of the contagious virus tremendously fast. The world was not ready to face this unprecedented situation. This paper presents an effort to fight the Covid-19 pandemic in Palembang City, the capital of South Sumatra Province, Indonesia. This study utilized information provided by the authority and convert it into geospatial data. Daily based data has been captured by providing tools for the enforcements to collect the data for monitoring purposes as well. The Susceptible, Infected, and Recovered (SIR) model is used in this study to determine the need for medical facility demand and map the dispersion of parameters in elevating infectious diseases. The SIR model is used to determine the effect of social distancing in the community to flatten the curve. The local parameters were used in the lowest administrative boundary of the district. Predictive demand for referred medical facilities can be delineated. From this study, the predicted peak of infected cases has a good agreement with the actual total cases. The result of the analysis can be used to manage the medical facilities to accommodate the demand.

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