The size of a thumb-tip is the critical threshold for a hole in a mosquito net—anything larger allows the Anopheles mosquito to bypass the barrier entirely, turning a life-saving tool into a false sense of security. In high-stakes malaria prevention research, the challenge isn't just distributing Long-Lasting Insecticidal Nets (LLIN); it is the forensic tracking of their physical integrity over months of use in a rural household. A survey that lacks a standardized Net_1_Holes observation or a verified Net_1_Hanged status is a baseline measurement without the data needed to evaluate true epidemiological protection.
The Ritual of Vector Protection Auditing
The "Mac_Household_Survey_Nets_List" is designed for the field researcher or health coordinator who treats malaria prevention as a high-precision logistical challenge. It moves your net monitoring from vague verbal reports to a structured, observation-based digital vault. By standardizing the capture of the Net_1_Colour and specific Net_1_Shape (e.g., rectangular vs. conical), the system ensures that every net in the study has a documented physical identity. It acknowledges that knowing if a net was Observed by the interviewer is the only way to validate household compliance data.
The Blueprint: Multi-Net Logistics Architecture
The structure of this library is built to handle the sequential density of a comprehensive household net audit.
- Physical Integrity Forensics: Dedicated fields for Holes, Colour, and Shape capture the macro profile of the household’s vector defense, allowing for the identification of wear patterns across different net brands.
- Occupancy Mapping: The template tracks the human side of the barrier, documenting Net_1_Sleep_Any_Last_Night and identifying up to four specific individuals (Slept_Who_1 through 4) by their ID numbers.
- Acquisition Lineage: Fields for Net_Get_Months_Ago and Net_1_Buy distinguish between recently distributed LLINs and older, potentially expired nets, providing the temporal data needed for replacement cycle planning.
Usage Scenarios: The Post-Distribution Review
You are conducting a one-year follow-up after a mass net distribution campaign. Instead of re-interviewing the village from scratch, you open Memento. You filter by household_ID and instantly see the four net slots documented in the initial survey. You perform a physical inspection of Net_1 and note that while it is Hanged, it now has Holes and was obtained Net_Get_Months_Ago. You record the IDs of the three children who Slept_Who under it last night. The digital archive has turned a fragmented series of observations into a documented narrative of community protection.
Power Feature: High-Resolution Treatment Classification
By utilizing the Net_1_LLIN_Retreatable_Untreatable field, the template transforms from a simple count into a professional epidemiological tool. You can analyze the efficacy of different net types across your cluster, correlating the Retreatable status with documented illness rates in the associated child surveys. It turns a collection of mesh into a documented sequence of life-saving insights, ensuring that your public health strategy is always supported by forensic-grade evidence of your personal results.