What we do not know
Measured against a declared scope of 12 countries, curated by hand, in three sections that do not add up.
These figures have known challenges — see Known challenges
These figures date from August 9, 2026 (85 days ago). They are more than a week old: the aggregate refresh has not been run since. It is not the portal that is behind, it is the data it serves.
The grid declares 12 countries of the 42 the corpus documents, and 28 topics of 3463. An empty cell says there is nothing for that pair WITHIN THIS SCOPE — not that there is nothing.
1. Coverage
measurable today — observation counts, unqualified · Gold-tier counts — the full corpus holds more
Diseases
a condition a person has
37 covered · 36 no recent data · 23 period unknown · 156 no data · 252 cells in this section
+ 10,430 with no national scope — valid evidence whose scope is supra-national or outside the geographic perimeter — "11% of maternal deaths in sub-Saharan Africa" never had a country to lose. Counted separately, never added to the cells.
| Disease | BJ | BF | CM | CD | GA | GH | CI | KE | ML | NG | SN | TG |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Anaemia84 within scope, out of 428 in the corpus | 16 | 1 | · | 1 | 2 | · | · | 16 | 6 | 46 | · | · |
| Cervical cancer335 within scope, out of 787 in the corpus | · | · | · | · | 26 | · | · | 81 | · | 250 | 19 | · |
| Breast cancer333 within scope, out of 566 in the corpus | · | · | · | · | 42 | · | · | 48 | · | 266 | · | · |
| Cholera0 within scope, out of 206 in the corpus | · | · | · | · | · | · | · | · | · | · | · | · |
| COVID-19342 within scope, out of 1,159 in the corpus | · | · | 20 | · | 19 | · | · | 61 | 169 | 135 | · | · |
| Diabetes388 within scope, out of 1,580 in the corpus | 6 | · | 12 | 2 | 13 | · | · | 48 | · | 324 | · | · |
| Sickle cell disease623 within scope, out of 2,618 in the corpus | · | 2 | 2 | · | 94 | · | 5 | 15 | 75 | 451 | 60 | · |
| Yellow fever11 within scope, out of 46 in the corpus | · | 2 | · | · | · | · | · | 5 | · | 4 | · | · |
| Hepatitis B168 within scope, out of 517 in the corpus | · | 25 | 5 | · | 21 | · | 21 | 15 | · | 104 | · | · |
| Hepatitis C73 within scope, out of 223 in the corpus | · | 6 | 5 | · | 13 | · | · | 11 | · | 40 | · | · |
| Hypertension198 within scope, out of 896 in the corpus | 4 | 7 | 13 | · | 2 | · | · | 63 | 1 | 123 | · | · |
| HPV infection168 within scope, out of 378 in the corpus | 3 | · | 2 | · | 10 | · | · | 34 | · | 119 | 4 | · |
| Ebola virus disease1 within scope, out of 188 in the corpus | · | · | · | 1 | · | · | · | · | · | · | · | · |
| Bacterial meningitis0 within scope, out of 30 in the corpus | · | · | · | · | · | · | · | · | · | · | · | · |
| Mpox130 within scope, out of 935 in the corpus | · | · | · | 6 | · | · | · | · | · | 144 | · | · |
| Obesity39 within scope, out of 260 in the corpus | 2 | · | 6 | · | · | 2 | · | 4 | · | 27 | · | · |
| Malaria3,088 within scope, out of 9,001 in the corpus | 201 | 259 | 119 | 20 | 209 | 17 | 174 | 942 | 448 | 1,259 | 149 | · |
| Poliomyelitis5 within scope, out of 10 in the corpus | · | · | · | · | · | · | · | 1 | · | 4 | · | · |
| Measles3 within scope, out of 33 in the corpus | · | · | · | · | · | · | · | 4 | · | · | · | · |
| Tuberculosis433 within scope, out of 913 in the corpus | · | · | · | · | 18 | · | · | 139 | · | 297 | 13 | · |
| HIV/AIDS2,614 within scope, out of 5,535 in the corpus | 3 | 3 | 43 | 36 | 66 | 1 | 27 | 1,389 | · | 1,272 | · | 3 |
Nutritional status
a state measured by anthropometric indices
0 covered · 2 no recent data · 3 period unknown · 19 no data · 24 cells in this section
+ 47 with no national scope — valid evidence whose scope is supra-national or outside the geographic perimeter — "11% of maternal deaths in sub-Saharan Africa" never had a country to lose. Counted separately, never added to the cells.
Tracked indicators
a measure over a population, not an individual
0 covered · 1 no recent data · 1 period unknown · 58 no data · 60 cells in this section
+ 47 with no national scope — valid evidence whose scope is supra-national or outside the geographic perimeter — "11% of maternal deaths in sub-Saharan Africa" never had a country to lose. Counted separately, never added to the cells.
| Indicator | BJ | BF | CM | CD | GA | GH | CI | KE | ML | NG | SN | TG |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Infant mortality0 within scope, out of 1 in the corpus | · | · | · | · | · | · | · | · | · | · | · | · |
| Under-five mortality0 within scope, out of 79 in the corpus | · | · | · | · | · | · | · | · | · | · | · | · |
| Maternal mortality2 within scope, out of 62 in the corpus | · | · | · | · | · | · | · | 2 | · | · | · | · |
| Neonatal mortality1 within scope, out of 9 in the corpus | · | · | · | · | · | · | · | 1 | · | · | · | · |
| All-cause mortality0 within scope, out of 7 in the corpus | · | · | · | · | · | · | · | · | · | · | · | · |
The three sections do not add up: a disease is a condition a person has, an indicator is a measure over a population. No cross-section total is offered — search and filters, however, span everything.
2. Indicators
not measurable today — instrumentation pending
Saying “a prevalence is missing” requires recognising a prevalence when present. The corpus cannot: only 9 % of percentage values are true disease prevalences, the rest mixes test sensitivities, cure rates and genotype frequencies. These rows await the measure_type field.
- PrevalencependingIndétectable aujourd'hui : 9 % seulement des valeurs en numeric_unit='%' sont de vraies prévalences de maladie.
- IncidencependingNécessite de distinguer incidence, prévalence et taux d'attaque — impossible sans measure_type.
- MortalitypendingConfondue avec létalité et mortalité proportionnelle dans le texte des claims.
- Vaccination coveragependingSignal lexical très faible : ~129 claims sur 72 932 mentionnent un terme de couverture vaccinale.
- Treatment accesspendingSignal lexical très faible : ~102 claims. Le corpus documente des états de santé, presque pas l'action publique.
3. Quality
what is there, and how confident we are
| Country | observations | dated | inherited location |
|---|---|---|---|
| Nigeria | 10,461 | 27 % | 82 % |
| Kenya | 7,696 | 34 % | 81 % |
| Gabon | 3,798 | 34 % | 78 % |
| Cameroun | 2,190 | 32 % | 69 % |
| Mali | 1,578 | 30 % | 72 % |
| Burkina Faso | 1,145 | 31 % | 58 % |
| RDC | 931 | 58 % | 18 % |
| Côte d'Ivoire | 905 | 32 % | 81 % |
| Sénégal | 900 | 26 % | 41 % |
| Bénin | 790 | 34 % | 42 % |
| Ouganda | 577 | 71 % | 6 % |
| Afrique du Sud | 571 | 23 % | 65 % |
| Tanzanie | 428 | 35 % | 55 % |
| Sierra Leone | 300 | 38 % | 58 % |
| Togo | 244 | 59 % | 2 % |
| Ghana | 224 | 35 % | 24 % |
| Madagascar | 196 | 23 % | 84 % |
| Tunisie | 143 | 22 % | 43 % |
| Niger | 135 | 69 % | 0 % |
| Malawi | 91 | 59 % | 0 % |
An inherited location means the country comes from the study context, not the claim. These observations count, with lower confidence — knowing it is better than not.