Spatial distribution of tuberculosis in a municipality in the interior of São Paulo, 2008-2013.
Alcione Pereira Biffi Fusco, Ricardo Alexandre Arcêncio, Mellina Yamamura and 4 others
PMID 28591296WHAT IT FOUND
Geocoded TB cases in São Carlos clustered in the south and southeast, mostly men with pulmonary TB.
New cases had 77.60% cure and 12.38% dropout, missing WHO targets.
Key findings
01Of 315 reported TB cases, 299 were analysed; 212 were male, and 244 had pulmonary TB.
02Among new cases, 77.60% were cured and 12.38% dropped out, not meeting WHO targets.
03Geocoding showed a non-random spatial distribution, with the highest TB case density in the south and southeast.
STILL TO COME
How it was doneWhat they foundWhat it means for RNs
Read the rest of this summary
You get three full summaries a month, free, and we do not ask for a card. Search, the TL;DRs and your library stay unlimited either way.
What it does not show
This is an ecological study, so its findings describe populations and cannot be inferred to individual patients. The analysis used secondary notification data, which can contain errors in recording or typing. Some notification fields were blank or ignored. People may have been infected away from home, so residence address may not show where transmission occurred. It did not compare interventions, so it cannot show that any treatment or service model works.
The easy way to misread this
Do not read the spatial clusters as proof that living in those neighbourhoods caused TB. This is an ecological study, so the findings describe populations and cannot be inferred to individual patients.