Mortality among populations affected by armed conflict in northeast Nigeria, 2016 to 2019.
Proc Natl Acad Sci U S A
; 120(30): e2217601120, 2023 07 25.
Article
en En
| MEDLINE
| ID: mdl-37467271
ABSTRACT
Armed conflict, displacement and food insecurity have affected Adamawa, Borno, and Yobe states of northeast Nigeria (population ≈ 12 million) since 2009. Insecurity escalated in 2013 to 2015, but the humanitarian response was delayed and the crisis' health impact was unquantified due to incomplete death registration and limited ground access. We estimated mortality attributable to this crisis using a small-area estimation approach that circumvented these challenges. We fitted a mixed effects model to household mortality data collected as part of 70 ground surveys implemented by humanitarian actors. Model predictors, drawn from existing data, included livelihood typology, staple cereal price, vaccination geocoverage, and humanitarian actor presence. To project accurate death tolls, we reconstructed population denominators based on forced displacement. We used the model and population estimates to project mortality under observed conditions and varying assumed counterfactual conditions, had there been no crisis, with the difference providing excess mortality. Death rates were highly elevated across most ground surveys, with net negative household migration. Between April 2016 and December 2019, we projected 490,000 excess deaths (230,000 children under 5 y) in the most likely counterfactual scenario, with a range from 90,000 (best-case) to 550,000 (worst-case). Death rates were two to three times higher than counterfactual levels, double the projected national rate, and highest in 2016 to 2017. Despite limited scope (we could not study the situation before 2016 or in neighboring affected countries), our findings suggest a staggering health impact of this crisis. Further studies to document mortality in this and other crises are needed to guide decision-making and memorialize their human toll.
Palabras clave
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Convulsiones
/
Vacunación
Tipo de estudio:
Prognostic_studies
/
Qualitative_research
Límite:
Child
/
Humans
País como asunto:
Africa
Idioma:
En
Año:
2023
Tipo del documento:
Article