Background: VectorWorks is a five-year
(2014-2019) global project to increase access to and use of insecticide-treated
nets (ITNs) and other proven vector control interventions for malaria prevention.
The project is funded by the President’s Malaria Initiative (PMI) under a USAID
cooperative agreement.
VectorWorks Tanzania seeks highly qualified data collectors for an
upcoming activity to monitoring LLIN durability in Zanzibar. The study is
designed to understand the how long LLINs last until they are too torn to be
used for sleeping under. Data collection
will be carried out over 14-day period (including training) in late October and
early November of 2016. Data collectors in both Unguja and in Pemba are needed.
Scope of Work:
·
Carryout community entry activities, including meetings with
community leaders and households
·
Administer survey questionnaire to household members, using tablet
data entry
·
Count holes of various sizes in LLINs and record them using tablet
data entry
·
Ensure quality and completeness of all data collected
·
Interact with participants, study team, and ZAMEP representatives
in a professional and respectful manner
·
Demonstrate a strong work ethic, attention to quality and detail,
and take initiative to identify areas for improvement in the data collection
process to ensure study objectives are met
Qualifications:
·
Experience
and/or training in administration of household surveys
·
Familiarity
with smartphones
·
Experience with
data collection, preferably using mobile phones or tablets
·
Currently living
in Unguja or Pemba
·
Fluency in
Swahili
·
Proficiency
in English
·
High level
of professionalism
·
High level
of respect for research participants and study objectives
To Apply: Please send a cover letter and CV to ccp.vectorworks@gmail.com no later than September29th. Please indicate “Zanzibar Durability
Monitoring Data Collector” in the subject of the email. Qualified applicants
will be contacted for a phone interview. Successful applicants will be invited
to attend training. Final selection of the data collection team will be based on
performance during training.
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