Pandemic influenza in Papua New Guinea: a modelling study comparison with pandemic spread in a developed country
Authored by Stephan Karl, George J Milne, Pravin Baskaran, Nilimesh Halder, Joel Kelso
Date Published: 2013
DOI: 10.1136/bmjopen-2012-002518
Sponsors:
Australian National Health and Medical Research Council (NHMRC)
Platforms:
No platforms listed
Model Documentation:
Other Narrative
Flow charts
Model Code URLs:
Model code not found
Abstract
Objectives: The possible occurrence of a highly pathogenic influenza
strain is of concern to health authorities worldwide. It is known that
during past influenza pandemics developing countries have experienced
considerably higher death rates compared with developed countries.
Furthermore, many developing countries lack appropriate pandemic
preparedness plans. Mathematical modelling studies to guide the
development of such plans are largely focused on predicting pandemic
influenza spread in developed nations. However, intervention strategies
shown by modelling studies to be highly effective for developed
countries give limited guidance as to the impact which an influenza
pandemic may have on low-income countries given different demographics
and resource constraints. To address this, an individual-based model of
a Papua New Guinean (PNG) community was created and used to simulate the
spread of a novel influenza strain. The results were compared with those
obtained from a comparable Australian model.
Design: A modelling study.
Setting: The towns of Madang in PNG (population similar to 35 000) and
Albany (population similar to 30 000) in Australia.
Outcome measures: Daily and cumulative illness attack rates in both
models following introduction of a novel influenza strain into a naive
population, for an unmitigated scenario and two social distancing
intervention scenarios.
Results: The unmitigated scenario indicated an approximately 50\% higher
attack rate in PNG compared with the Australian model. The two social
distancing-based interventions strategies were 60-70\% less effective in
a PNG setting compared with an Australian setting.
Conclusions: This study provides further evidence that an influenza
pandemic occurring in a low-income country such as PNG may have a
greater impact than one occurring in a developed country, and that
PNG-feasible interventions may be substantially less effective. The
larger average household size in PNG, the larger proportion of the
population under 18 and greater community-wide contact all contribute to
this feature.
Tags
Africa
transmission
Strategies
United-states
Infectious-diseases
Virus
Impact
School closure
Preparedness
Challenge