Chance of infection with Schistosoma haematobium.

Chance of infection with Schistosoma haematobium in the north of Pemba (A) and implementation units considered hotspots based on S. haematobium prevalence in school and household-based surveys during the SchistoBreak study (B) in Pemba, Tanzania, from 2...

Full description

Saved in:

Bibliographic Details
Main Author:	Lydia Trippler (10136316) (author)
Other Authors:	Said Mohammed Ali (10136325) (author), Mohammed Nassor Ali (11951653) (author), Ulfat Amour Mohammed (21464210) (author), Khamis Rashid Suleiman (13002039) (author), Naomi Chi Ndum (21464213) (author), Saleh Juma (6577406) (author), Shaali Makame Ame (13002033) (author), Fatma Kabole (3590819) (author), Jan Hattendorf (113923) (author), Stefanie Knopp (108848) (author)
Published:	2025
Subjects:	Biotechnology Ecology Immunology Cancer Science Policy Computational Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified standardized kernel density random effects model mass drug administration living far away global health equity behavior change measures 20 implementation units year intervention study xlink "> schistosomiasis 20 ius changed high prevalence remain achieve complete elimination schistosoma haematobium </ low economic score hotspot ius decreased ci ): 0 hotspot ius resurged hotspots </ p haematobium </ study period schistosomiasis elimination economic factors hotspot ius bulinus </ prevalence ius hotspot areas ): 2 water sanitation water bodies snail control significantly associated sectional surveys recurring moderate past decades odds ratio low prevalence local micro identify drivers hygiene infrastructure confidence interval annual cross 0 %)
Tags:	Add Tag No Tags, Be the first to tag this record!

Chance of infection with <i>Schistosoma haematobium.</i>

Similar Items