Zonas Oscuras en El Sistema De Alarma De Advertencia De Tsunami en Chile

Álvarez, Gabriel; Ramírez, Jorge Carlos Parga; Paredes, Lorena; Canales, Miguel

doi:10.4067/s0718-33052010000300005

Cited by 4 publications

(4 citation statements)

References 2 publications

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“…Regarding the impact of housing damage on the disease by type, the results in columns (2), ( 3), ( 4) and (5) show that the parallel tendency assumption is correct for the period prior to the earthquake for typhoid, paratyphoid, and salmonella. After the earthquake the triple interaction Post × Damage × Trend shows that in areas with damaged houses the trend increases for all disease compared to those without damaged houses, specifically typhoid fever increases by 0.4%, paratyphoid fever 0.02%, hepatitis A 4.2% and salmonella 1.5%, this increase is significant at 1% for the last two.…”

Section: Resultsmentioning

confidence: 95%

“…When the vibration reaches the earth's surface, infrastructure will be damaged which may also get people injured or killed [3,4]. Speaking of earthquakes, according to The World Organization of Volcano Observatories (WOVO) [5,6], Chile is considered as one of those countries in the world that are more earthquake-active because Chile is located in a region which is known as 'Pacific Fire Belt' where limit tectonic plates are in permanent friction and has the most dormant volcanoes. Therefore, Chile is well-known in the topic of disaster management worldwide.…”

Section: Introductionmentioning

confidence: 99%

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Disaster, Infrastructure Damage, and Health

Scapini¹

2020

IJSSE

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Natural disasters generate great economic costs, such as loss of human lives, damage to people's health and the loss of goods and infrastructure. In this sense, the case of Chile is particularly interesting, as it is located in the 'Pacific Ring of Fire' and is considered one of the most seismically active countries in the world. Based on the evidence from the 2010 earthquake, an empirical study was carried out using the panel survey 'CASEN Post earthquake 2010' and the panel of mandatory denotification diseases provided by the Ministry of Health between 2008 and 2013. Four models of difference in difference were estimated: The first to determine the effect of the disaster on the number of foodborne diseases, the second evaluates if the incidence of diseases is greater in areas closer to the epicenter, the third if the damage of the home correlates with the incidence of diseases and finally, the fourth is in charge of dealing with possible problems of endogeneity. The results include the causal relationship between the occurrence of the earthquake and the incidence of salmonella, as well as the correlation between housing damage and the incidence of paratyphoid fever, hepatitis A and salmonella. The main focus of the present study was to investigate potential outbreaks of foodborne diseases and generate evidence for the implementation of health public policies.

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Section: Resultsmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Disaster, Infrastructure Damage, and Health

Scapini¹

2020

IJSSE

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“…Chile is considered one of the countries with the highest seismic activity in the world because it is located along the southwestern shore of South America. The area is known as the 'Pacific Ring of Fire', which corresponds to a zone where the tectonic plates are in permanent friction and concentrates some of the most important subduction zones in the world, where about 90% of the world's earthquakes and 80% of the largest ones occur [5][6][7]. For this reason, the Chilean experience is important to consider when we talk about disaster management.…”

Section: The 2010 Chile Earthquakementioning

confidence: 99%

A markov chain approach to model reconstruction

Scapini¹,

Zuñiga²

2020

Int. J. CMEM

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Motivated by the fact that Chile is one of the most seismically active countries in the world (located over the 'Pacific Ring of Fire'), we define a methodology for estimating the cost of housing reconstruction by modelling the occurrence of natural disasters as a Markov chain. Specifically, the states of the chain correspond to the different possible conditions of the housing infrastructure and the transition probabilities represent the possibility of change from one condition to another once the disaster has occurred. We prove that for the case of the 2010 Chilean earthquake, the matrix representing the process admits a stationary state vector. Using this vector, which we interpreted as the portion of time that the chain spends in each state in the long term, we define a cost function associated with total reconstruction. If this cost function is continuous, then this methodology allows policymakers to make decisions when facing the trade-off between current partial reconstruction and future total reconstruction.

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“…Earthquakes occur releasing astonishingly big amounts of energy in the form of heat and as shock waves that form the earthquake [1], [2]. In this context, Chile is world-wide one of the countries with the highest seismic activity because it is located in the well-known "Pacific Ring of Fire", an area where tectonic plates are in permanent friction [3], [4]. This makes Chilean experience extremely valuable in the context of disaster management.…”

Section: Chilean Contextmentioning

confidence: 99%

Conditions of Housing Infrastructure Before the Occurrence of an Earthquake

Scapini

Zuñiga

2020

Risk Analysis XII

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Natural disasters generate great economic costs related to damaged houses or loss of infrastructure. In this context, the case of Chile is particularly interesting, as it is located in the "Pacific Ring of Fire" and is considered one of the most seismically active countries in the world. Based on the evidence from the 2010 earthquake, an empirical study was carried out using the panel survey CASEN Post earthquake. We model a Markov chain whose states represent housing conditions (good, regular and bad) and where each instance of the chain corresponds to the occurrence of an earthquake. For this model, we calculate the transition probabilities of moving from one state to another and find the stationary probabilities of the chain. We interpret these probabilities as the percentage of time that houses spend in each state in the long term. We propose a method to calculate the expected cost of full reconstruction of houses. This information could be useful to policy makers for evaluating if it is necessary to repair the damage or wait for the destruction of the house and rebuild it.

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Zonas Oscuras en El Sistema De Alarma De Advertencia De Tsunami en Chile

Cited by 4 publications

References 2 publications

Disaster, Infrastructure Damage, and Health

Disaster, Infrastructure Damage, and Health

A markov chain approach to model reconstruction

Conditions of Housing Infrastructure Before the Occurrence of an Earthquake

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