Politicized health emergencies and violent resistance against healthcare responders
Dados Bibliográficos
| ID | 3917044 |
|---|---|
| Autores | Molly Sauter (0000-0001-9242-6938, University of Oslo, autor correspondente) |
| Ano | 2024 |
| Volume | 61 |
| Fascículo | 4 |
| Páginas | 513-528 |
| Data de publicação | 2024-07-01 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Journal of Peace Research (JOURNAL) |
| Identificadores do periódico | ISSN: 0022-3433 • E-ISSN: 1460-3578 |
| Editora | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/00223433231158144 |
| OpenAlex | W4377195855 |
| Idioma | EN |
| Citações recebidas | 2 |
| Referências citadas | 42 |
2019 has been the most violent year on record for health workers in the Democratic Republic of the Congo. Attacks on healthcare coincided with the first-ever Ebola outbreak in an active conflict zone. Many of the attacks on the Ebola response were perpetrated by civilians who intended to disrupt the response, which in turn contributed to the spread of the virus. Why would communities attack the very people trying to protect them from disease? This mixed-method study examines the case of violence against Ebola responders during the Democratic Republic of the Congo's tenth Ebola outbreak from 2018 to 2020. First, an 'explaining-outcome' process tracing reconstructs key events that led to the violent resistance of the population. I find that - contrary to popular belief - distrust alone was not the main driver. Rather, I argue that the politicization of the response provoked violent popular resistance. Second, an interrupted time-series model shows that the exclusion of three regions from the presidential election due to Ebola led to a significant increase in attacks on Ebola responders. The analysis demonstrates that the behavior of healthcare responders has limited ability to build trust when other political dynamics are at work. The article illustrates how combining process tracing with quantitative causal inference methods enables the simultaneous inquiry of cause, mechanism, and effect
Computer security · Contact tracing · Coronavirus disease 2019 (COVID-19) · Criminology · Democracy · Disease · Distrust · Ebola virus · Environmental health · Health care · Infectious disease (medical specialty) · Outbreak · Political science · Politics · Population · Presidential election · Resistance (ecology) · Computer Science · Global Security and Public Health · Law · Medicine · Political Conflict and Governance · Psychology · Viral Infections and Outbreaks Research · Virology
Process-Tracing Methods
Do No Harm
Legacies of violence
Lessons from the History of Quarantine, from Plague to Influenza A
From Voting to Violence
Dangerous Sanctuaries
Horizontal Inequalities and Conflict
Aid in Danger
The Deadly Ethnic Riot
Security
Inequality, Grievances, and Civil War
The Trouble with the Congo
Repression and popular collective action
Opportunistic Repression
Theorizing the Mechanisms of Conceptual and Semiotic Space
Is Pandemic Flu a Security Threat
Peeling the onion
Epidemics and Revolutions
The Dynamic Relationship Between Protest and Repression
Case Selection Techniques in Case Study Research
Civil War and the Formation of Social Trust in Kosovo
A Strategic Logic of Attacking Aid Workers
Polarization, Horizontal Inequalities and Violent Civil Conflict
Securitizing infectious disease
What drives violence against civilians in civil war? Evidence from Guatemala's conflict archives
Windows of repression
Introducing Acled
Inequality and Insurgency
Framing Processes and Social Movements
| Obras citantes distintas | 2 |
|---|---|
| Citações por ano | 1 |
| Intervalo de citações | 2024 - 2025 (2) |
| Velocidade de citação | recent |
| Altamente citado | Não |
| Tipos de citação | Neutras: 2 |