Abstract
Objectives: The aim of this study was to produce Geo Spatial Distribution of Frequencies of MTB/RIF Detected Specimens based on RequestingHealth Facilities in Manicaland Zimbabwe for 2017 and 2018, so as to give insight to TB program managers. Focusing elimination interventions onhot pockets of Tuberculosis (TB) strengthens rationale use of resources in resource limited countries like Zimbabwe. Early detection and earlytreatment is backbone of breaking TB transmission. Drug resistant tuberculosis (DRTB) control interventions like Programmatic Management of Drug Resistant TB or mentoring on Short, all Oral Regimen for Rifampicin resistant Tuberculosis (ShORRT) will be driven by science.
 Materials and Methods: The retrospective study was carried out in Manicaland, Zimbabwe. Manicaland one of the 10 provinces in Zimbabwe, has 7 districts with 308 health facilities. During this retrospective cross sectional study 2221 MTB detected results of 2017 and 2018, downloaded from 14 of the 15 Genexpert sites in Manicaland were employed to generate hotspot maps. Fifteenth Genexpert site lost its electronic records when Genexpert CPU crushed. Geographical Positioning System (GPS) of the health facilities were recorded.The study used MTB detected frequencies at a facility in relation to surrounding facilities inManicaland, then ran optimised hotspot analysis function in Arc Map 10.5 to implement the Gi* statistic. 
 Results: Overall provincial MTB detected positivity was 2221/36055 (6.2%).Overall provincial Rifampicin Resistant (RR) positivity was .111.2221(5.0%).Geo-spatial map of Manicaland showed 10 facilities that are RR hotspots with 7/10 (70%) of the facilities in Buhera district. Chipinge district had facilities that were MTB detected high hotspots.For the whole of Manicaland, Buhera district had100% MTB detected low hotspots facilities. Ninety percent hotspots were clusteredaround 2 of the 15 Genexpert Sites in Manicaland, namely Murambinda Mission Hospital and Chipinge District Hospital.
 Conclusion: Study identified health facilities with high frequencies of RR areas. For the identified health facilities with high frequencies of RR specimens, NTP may focus DRTB control interventions like PMDT, or mentoring on ShORRT. For the health facilities with high frequencies of MTB detected NTP can focus trainings in TB Case Management. Instead of uniformly spreading the limited resources to all 325 facilities, efforts streamlined to manageable number of 20 facilities incommensurate with identified gap( e.g. objective selection of cadres for training, data driven supportive supervision & targeted awarenesscampaigns).
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