Cost associated with fortification. per Abhishek Kumar (156479)

“…The cost to fortify is 7.6 million USD for oil and 9.8 million USD for milk fortification for children and women. The overall cost effectiveness ratio of the fortification programme is 150.…”

Justification for database selection. per Denis Sereno (233155)

Parameter value justifications. per Pantelis Vafidis (22615310)

Notification for unwanted situation. per Nadim Nawshad (22208986)

Matèries:

Cost and cost-effectiveness of supplementation and fortification programmes. per Abhishek Kumar (156479)

“…<p>Cost and cost-effectiveness of supplementation and fortification programmes.</p>…”

Associated risks reported in the notification form in the Information System for Notifiable Diseases (SINAN) for leptospirosis in Brazil. per Thiago Salomão de Azevedo (16406703)

Matèries: “…urban environmental modifications…”

Selection justification for cocoon shell omics analyses per Panagiota Fragkou (21776827)

“…<p dir="ltr">This .xlxs file describes in two different sheets the 80 Bombyx mori cocoon shell samples that were selected for omics analysis and the justification of exclusion (in the second sheet) of the 68 samples from the collection of 148 cocoon shell samples for the study titled "Multiomics analysis of the Silkworm cocoon shell"</p>…”

Factors influencing the notification of CE cases in Germany. per Elisabeth Schorling (15188192)

“…<p>Factors influencing the notification of CE cases in Germany.</p>…”

Evaluation criteria, justifications, and supporting references for beekeeping suitability. per Çağrı Mercan (22559879)

“…<p>Evaluation criteria, justifications, and supporting references for beekeeping suitability.…”

Justification and tuning of the change-point detection (CPD) method. per Romain Fayat (22404831)

Detailed risk of bias assessment with consensus rating and justification per Nai Ming Lai (21480242)

“…<p dir="ltr">Detailed risk of bias assessment with consensus justification using the Cochrane risk of bias 2 tool</p>…”

2019–2022 TB notification, adherence and treatment outcome. per Arangba S (21656068)

Matèries:

District level cough syrup sales from private sector (mean in litres, per 0.1 million population, quarterly*) and TB notification rates (total notification, private sector notification, missed notification from private sector per 0.1 million population, quarterly*), across 33^ districts of Rajasthan, India, January 2021 – March 2024 per Kalika Gupta (22280926)

“…</p><p dir="ltr">Methods: This was an ecological study to correlate cough syrup sales and that of missed TB notifications from private sector. We calculated missed TB notification rate in private sector as the difference between the estimated people on TB treatment and TB notification in private sector. …”

Engagement, app interactions and notifications over the study period per participant. per Daniel Leightley (6587102)

“…<p>Engagement, app interactions and notifications over the study period per participant.</p>…”

The verification of the output per Paul A. Gagniuc (1818325)

“…<p dir="ltr"><b>The verification of the output</b>. (A) initial transition matrix (T1) of the simulator. …”

Sample verification. per Lauren Lanahan (3165426)

Antibody verification. per Lan Xia (443866)

“…<p>(A) Overexpression verification. HEK293T cells were transfected with CFAP77-, CCDC105-, or TEX43-tagged plasmids; both tag-antibodies and their antibodies recognized a specific band at the same molecular size. …”

Model verification. per Philippos Michaelides (18463232)

Verification of integrity. per Chin-Ling Chen (17542074)

<b>Figure 1.</b>District level trends in cough syrup consumption from private sector (mean in litres, per 0.1 million population, quarterly*) andTB notification rates(total notification, private sector notification, missed notification from private sector per 0.1 million population, quarterly*), across 33^ districts of Rajasthan, India, January 2021 – March 2024 per Kalika Gupta (22262563)

“…District level mean quarterly overall notification rate was 43 per 0.1 million population: lowest in April-June 2021 and highest in April-June 2022) and it was 12 per 0.1 million population in private sector: lowest in January-March 2023 and highest in July-September 2021.District level mean quarterly missed private notification rate was 81 per 0.1 million population: lowest in January-March 2023 and highest in January-March 2022 (<b>Figure 1</b>). …”