Impacts from and State Responses to Natural Disasters in the Philippines

2014 ◽  
pp. 267-286
Author(s):  
Danilo C. Israel ◽  
Roehlano M. Briones
Keyword(s):  
Natural Disasters ◽  
The Philippines ◽  
State Responses

scholarly journals Weakened by the storm

2018 ◽  
Vol 55 (3) ◽  
pp. 336-350 ◽  
Author(s):  
Colin Walch
Keyword(s):  
Civil War ◽  
Organizational Structure ◽  
Natural Disasters ◽  
Opportunity Cost ◽  
The Philippines ◽  
Tropical Storms ◽  
Rebel Groups ◽  
Group Recruitment ◽  
Rebel Group

How do natural disasters affect rebel group recruitment? Some influential research to date suggests that natural disasters – by lowering the opportunity cost of joining an armed movement – are likely to facilitate rebel group recruitment. In contrast, this study argues that natural disasters can negatively affect rebel organization and their recruitment efforts. It posits that natural disasters may weaken rebel groups in two main interrelated ways: (1) by leading to acute scarcity for rebel combatants and supporters, weakening the rebel group’s organizational structure and supply lines, and (2) by increasing government and international presence in areas where the insurgents operate. Empirically, this article explores these suggested mechanisms in two cases of natural disasters in the Philippines (typhoons Bopha in 2012 and Haiyan in 2013), which affected regions partially controlled by the communist rebel group, the New People’s Army (NPA). Based on data from extensive fieldwork, there is no evidence suggesting a boom in rebel recruitment in the wake of the typhoons. Rather, the NPA was temporarily weakened following the tropical storms, significantly impacting the civil war dynamics in the Philippines.

scholarly journals Effectiveness of Community-Based Disaster Management in Cabanatuan City

2020 ◽  
Vol 6 (01) ◽  
Author(s):  
Kim Edward Santos Santos
Keyword(s):  
Natural Disasters ◽  
Disaster Management ◽  
The Philippines ◽  
Short Term ◽  
Community Based ◽  
Social Divisions ◽  
Rescue Team ◽  
The Impact ◽  
Descriptive Method

Disasters in the Philippines serve as great vanguards defying all existing social divisions and stratifications, influencing all, and uniting communities across boundaries in order to prepare and prevent it. This study focused on the Community Based Disaster Management in selected barangays of Cabanatuan City. The main problem of the study is to determine the effectiveness of Community Based Disaster Management. The respondents of the study were 100 residents and was conducted at ten (10) selected barangays of Cabanatuan City namely: Aduas Centro, Aduas Norte, Aduas Sur, Isla, Sumacab Este, Sumacab Norte, Sumacab Sur, Pagas, Kapitan Pepe, and Valdifuente. The researcher used descriptive method of research. The findings of the study were: early delivery of warning that affects the alertness of the residents had been confirmed effective by the most of the respondents; the prevention and minimizing the impact of natural disasters made by the barangay were properly prepared and necessary actions were taken properly. In terms of conducting short term recovery, there is a sufficient supply of relief goods that helped the respondents to recover faster and the rescue team conducts their job without further delay.

Identifying the Vulnerable to Poverty from Natural Disasters: The Case of Typhoons in the Philippines

2020 ◽  
Vol 4 (1) ◽  
pp. 45-82
Author(s):  
Emmanuel Skoufias ◽  
Yasuhiro Kawasoe ◽  
Eric Strobl ◽  
Pablo Acosta
Keyword(s):  
Natural Disasters ◽  
The Philippines

scholarly journals Natural Disasters, Public Spending, and Creative Destruction: A Case Study of the Philippines

2018 ◽  
Author(s):  
Shikha Jha ◽  
Arturo Martinez, Jr. ◽  
Pilipinas Quising ◽  
Zemma Ardaniel ◽  
Limin Wang
Keyword(s):  
Natural Disasters ◽  
Public Spending ◽  
Creative Destruction ◽  
The Philippines

scholarly journals Disease and Social Media in Post-Natural Disaster Recovery Philippines

2021 ◽  
Author(s):  
Lauren E. Charles ◽  
Courtney D. Corley
Keyword(s):  
Social Media ◽  
Natural Disasters ◽  
Natural Disaster ◽  
Disease Surveillance ◽  
Disaster Recovery ◽  
Recovery Period ◽  
Disease Outbreaks ◽  
The Philippines ◽  
Surveillance Program ◽  
Multilinear Regression

AbstractIntroductionThe Philippines is plagued with natural disasters and resulting precipitating factors for disease outbreaks. The developing country has a strong disease surveillance program during and post-disaster phases; however, latent disease contracted during these emergency situations emerges once the Filipinos return to their homes. Coined the social media capital of the world, the Philippines provides an opportunity to evaluate the potential of social media use in disease surveillance during the post-recovery period. By developing and defining a non-traditional method for enhancing detection of infectious diseases post-natural disaster recovery in the Philippines, this research aims to increase the resilience of affected developing countries through advanced passive disease surveillance with minimal cost and high impact.MethodsWe collected 50 million geo-tagged tweets, weekly case counts for six diseases, and all natural disasters from the Philippines between 2012 and 2013. We compared the predictive capability of various disease lexicon-based time series models (e.g., Twitter’s BreakoutDetection, Autoregressive Integrated Moving Average with Explanatory Variable [ARIMAX], Multilinear regression, and Logistic regression) and document embeddings (Gensim’s Doc2Vec).ResultsThe analyses show that the use of only tweets to predict disease outbreaks in the Philippines has varying results depending on which technique is applied, the disease type, and location. Overall, the most consistent predictive results were from the ARIMAX model which showed the significance in tweet value for prediction and a role of disaster in specific instances.DiscussionOverall, the use of disease/sick lexicon-filtered tweets as a predictor of disease in the Philippines appears promising. Due to the consistent and large increase use of Twitter within the country, it would be informative to repeat analysis on more recent years to confirm the top method for prediction. In addition, we suggest that a combination disease-specific model would produce the best results. The model would be one where the case counts of a disease are updated periodically along with the continuous monitoring of lexicon-based tweets plus or minus the time from disaster.

scholarly journals The meteorologically abnormal year of 2006 and natural disasters in the Philippines

Episodes ◽  
2008 ◽  
Vol 31 (4) ◽  
pp. 378-383 ◽  
Author(s):  
Graciano P. Yumul Junior ◽  
Nathaniel A. Cruz ◽  
Nathaniel T. Servando ◽  
Carla B. Dimalanta
Keyword(s):  
Natural Disasters ◽  
The Philippines
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