Societies at risk: the association between conflict intensity and population health indicators in Venezuela.

IF 3.2 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Emilia Olson, Mhd Bahaa Aldin Alhaffar, Anneli Eriksson
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引用次数: 0

Abstract

Background: Venezuela present a complex political and humanitarian context as the country is suffering from internal conflict and socio-political crisis which led to the deterioration of the health services, hyperinflation, and migration crisis, and this presents a unique case to explore the impact of conflict intensity on health outcomes. This study investigates potential relationships between conflict intensity and key health indicators in Venezuela from 2001 to 2016, focusing on malaria, heart disease mortality, and infant mortality rates.

Methods: Employing an ecological panel data analysis approach, this research analyzes state-year level data from the Uppsala Conflict Data Program and the Venezuelan Health Observatory. The study focuses on assessing if and how conflict intensity influences malaria incidence, heart disease mortality rates, and under-1 infant mortality rate across Venezuelan regions, using panel data regression with fixed effects for state and year.

Results: The study identifies a statistically significant correlation between conflict intensity high estimate and higher rates of infant mortality and heart disease mortality. Interestingly, no significant correlation was found between conflict intensity and malaria incidence. These findings suggest the multifaceted impacts of armed conflicts on health outcomes, indicating that while some health indicators deteriorate with rising conflict intensity, others may not exhibit direct correlations.

Conclusion: This study underscores the complex relationship between armed conflict intensity and health outcomes in Venezuela, highlighting significant correlations with infant mortality and heart disease mortality, but not with malaria incidence or the conflict death best estimate. The best estimate from UCDP didn't show correlation, while the high estimate showed significant correlation. The limitations posed by the UCDP database constraints, and the absence of recent health data publication invite further research to explore the nuanced impacts of conflict on health.

处于危险中的社会:委内瑞拉冲突强度与人口健康指标之间的关系。
背景:委内瑞拉面临复杂的政治和人道主义背景,因为该国正遭受内部冲突和社会政治危机,导致卫生服务恶化、恶性通货膨胀和移民危机,这是一个独特的案例,可以探讨冲突强度对卫生结果的影响。本研究调查了2001年至2016年委内瑞拉冲突强度与主要健康指标之间的潜在关系,重点关注疟疾、心脏病死亡率和婴儿死亡率。方法:采用生态面板数据分析方法,本研究分析了乌普萨拉冲突数据计划和委内瑞拉卫生观察站的州级数据。该研究的重点是评估冲突强度是否以及如何影响委内瑞拉各地区的疟疾发病率、心脏病死亡率和1岁以下婴儿死亡率,使用具有州和年份固定效应的面板数据回归。结果:该研究确定了冲突强度高估计值与婴儿死亡率和心脏病死亡率较高之间的统计显著相关性。有趣的是,冲突强度与疟疾发病率之间没有发现显著相关性。这些调查结果表明,武装冲突对健康结果的影响是多方面的,表明虽然一些健康指标随着冲突强度的增加而恶化,但其他指标可能没有直接相关性。结论:本研究强调了委内瑞拉武装冲突强度与健康结果之间的复杂关系,强调了与婴儿死亡率和心脏病死亡率之间的显著相关性,但与疟疾发病率或冲突死亡的最佳估计数无关。UCDP的最佳估计值不存在相关性,而高估计值存在显著相关性。由于UCDP数据库的限制以及缺乏最近的卫生数据出版物,需要进一步研究以探索冲突对健康的细微影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Population Health Metrics
Population Health Metrics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
6.50
自引率
0.00%
发文量
21
审稿时长
29 weeks
期刊介绍: Population Health Metrics aims to advance the science of population health assessment, and welcomes papers relating to concepts, methods, ethics, applications, and summary measures of population health. The journal provides a unique platform for population health researchers to share their findings with the global community. We seek research that addresses the communication of population health measures and policy implications to stakeholders; this includes papers related to burden estimation and risk assessment, and research addressing population health across the full range of development. Population Health Metrics covers a broad range of topics encompassing health state measurement and valuation, summary measures of population health, descriptive epidemiology at the population level, burden of disease and injury analysis, disease and risk factor modeling for populations, and comparative assessment of risks to health at the population level. The journal is also interested in how to use and communicate indicators of population health to reduce disease burden, and the approaches for translating from indicators of population health to health-advancing actions. As a cross-cutting topic of importance, we are particularly interested in inequalities in population health and their measurement.
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