Search alternatives:
large decrease » marked decrease (Expand Search), large increases (Expand Search), large degree (Expand Search)
aui values » auc values (Expand Search), ani values (Expand Search), i values (Expand Search)
ari values » ani values (Expand Search), arl values (Expand Search), i values (Expand Search)
ai large » a large (Expand Search), i large (Expand Search), via large (Expand Search)
c large » _ large (Expand Search), a large (Expand Search), i large (Expand Search)
large decrease » marked decrease (Expand Search), large increases (Expand Search), large degree (Expand Search)
aui values » auc values (Expand Search), ani values (Expand Search), i values (Expand Search)
ari values » ani values (Expand Search), arl values (Expand Search), i values (Expand Search)
ai large » a large (Expand Search), i large (Expand Search), via large (Expand Search)
c large » _ large (Expand Search), a large (Expand Search), i large (Expand Search)
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Study variables.
Published 2025“…We employed a logit model on the geo-linked NDHS datasets to compute the marginal effect of forest cover on ARI, diarrhoea, and fever.</p><p>Results</p><p>From 2011 to 2016, the prevalence of fever increased from 18% to 20%, while the prevalence of diarrhoea decreased from 14% to 7%, and ARI prevalence decreased from 5% to 3%. …”
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Descriptive statistics.
Published 2025“…We employed a logit model on the geo-linked NDHS datasets to compute the marginal effect of forest cover on ARI, diarrhoea, and fever.</p><p>Results</p><p>From 2011 to 2016, the prevalence of fever increased from 18% to 20%, while the prevalence of diarrhoea decreased from 14% to 7%, and ARI prevalence decreased from 5% to 3%. …”
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