Aconitum senanense Nakai

原著和名: ホソバトリカブト科名: キンポウゲ科 = Ranunculaceae採集地: 山梨県 北岳 (甲斐 北岳)採集日: 1973/8/21採集者: 萩庭丈壽整理番号: JH003964国立科学博物館整理番号: TNS-VS-95396

Wealth distribution of enrolled participants versus state and national populations.

<p>When comparing the wealth distribution between sampled individuals to that of the state and national populations captured by the 2010 MIS, those in the wealthiest quintile are disproportionately represented in the study sample. Based on the composite asset ownership measure, no individuals in the study sample were from the lowest two wealth quintiles of nation. Although the population of Oyo State, and particularly in urban areas, is also comprised of households that are much wealthier than the nation as a whole, the study sample's wealth composition is even more concentrated among the wealthiest. Source: 2010 Nigeria Malaria Indicators Survey.</p

Drugs purchased to treat malaria.

1<p>Pharmacies N = 230; PPMVs N = 193; Total N = 423. Not all participants purchased an anti-malarial drug.</p><p>Drugs purchased to treat malaria.</p

Logistic regression of the likelihood of buying drugs from a PPMV (versus a pharmacy).

1<p>Odds ratios reported.</p>2<p>Pharmacy (n = 212), PPMV (n = 205), Total (n = 417).</p><p>Standard errors are clustered at the shop level;</p><p>***p<0.01,</p><p>**p<0.05,</p><p>*p<0.1.</p><p>Logistic regression of the likelihood of buying drugs from a PPMV (versus a pharmacy).</p

RDT result and self-reported drug administration.

<p>RDT result and self-reported drug administration.</p

Logistic regression of the likelihood of buying an ACT (versus other anti-malarial drugs).

1<p>Odds ratios reported.</p>2<p>Pharmacy (n = 221), PPMV (n = 161), Total (n = 382).</p><p>Standard errors are clustered at the shop level;</p><p>***p<0.01,</p><p>**p<0.05,</p><p>*p<0.1.</p><p>Logistic regression of the likelihood of buying an ACT (versus other anti-malarial drugs).</p

Customer demographic and socioeconomic variables (N = 457).

1<p>Result of within-sample principle components analysis.</p>2<p>N = 424.</p><p>Customer demographic and socioeconomic variables (N = 457).</p