Closed bertozzivill closed 3 years ago
RESOLVED: interesting points, not addressed due to word count
dan thoughts:
Was a plateau in coverage a response to a drop in prevalence and could stratification be reducing both the total deliveries as well as the importance of “crop”?
How did the population at risk change over this period and is this important for our assessment of who NEEDs to be covered? Perhaps a drop in prevalence, combined with an increase in urbanization, has reduced the number of those who need nets (coincident with the plateau in ITN distribution). Not sure I believe this, but it's an interesting thought experiment.
RESOLVED suzanne:
Abstract “that nets are discarded more quickly than is presumed by official policy,” Main Text Introduction Potential reference for alternative bed net use if you haven’t got one yet - https://malariajournal.biomedcentral.com/articles/10.1186/s12936-020-03342-1 5th paragraph, ’40 sub-Saharan African countries’ – you have a red dash. Discussion The ITN literature upon which the three-year timeline is founded focuses on the maximum effective lifetime of nets, which remain protective against malaria even with substantial physical degradation [citation needed] This has always really interested me and I did a lot of work on bednets in my masters, apparently all these studies that suggest 3 years are also only based off of nets they found when they went back to check on a net i.e it didn’t include all those nets that had already been disregarded as they were too worn. Potential citation - WHO. Guidelines for laboratory and field testing of long-lasting insecticidal mosquito nets. Geneva: World Health Organization; 2005
RESOLVED Lisa: Congrats on this paper it was a really interesting read and the points about nets being over distributed to some households while others are still lacking access certainly resonates with the WMR 2020 recommendations of locally targeted interventions and a move towards more efficient programming. I only found a couple of typos and the rest looks great to me, thanks for adding me to the paper. If possible could you change me from Lisa Chestnutt to Elisabeth G. Chestnutt just to keep consistency across papers.
RESOLVED Hannah: Hi Amelia – my comments are input (inputted?) in the google doc. I am wondering about the TZ distribution data derived from the PMI MOPs – given TZ started annual school distribution in 2013 in 3 regions, scaled up to 7 then 14 regions in 2016 and 2017, and the mass campaign in the remaining regions of mainland was delayed….maybe there’s a connection to the odd results for western TZ, if the MOP info reflected optimistic/initial timelines for distributions that ended up being delayed? Let me know if more specific distribution timeline data for TZ would be helpful, as I have it.
It was really delightful to read this paper, and surely a large part of that is my own Confirmation Bias, but it’s really really great work. It’s very clearly written and organized and I hope you’re feeling really proud of it!
From HBHI call