Mortality rates adjusted for unobserved deaths and associations with Newcastle disease virus serology among unvaccinated village chickens in Myanmar
Introduction
In Myanmar, village chickens are a source of both income and food for rural households. Village chickens are kept under free-ranging conditions, with confinement only at night (Henning et al., 2007). Newcastle disease (ND) is considered to be the major constraint to raising village chickens in developing countries of Asia and Africa (Aini, 1990, Permin and Bisgaard, 2000) and is the most important poultry disease in Myanmar villages (Henning et al., 2007). However, the antibody seroprevalence to ND has not previously been evaluated longitudinally in this country. Deaths of village chickens can also occur due to predation, exposure to extreme weather conditions (for example, heat stress or drowning in the raining season) and other diseases (Henning et al., 2007). Older birds can be lost due to theft (Henning et al., 2007). Mortality rates (MRs) expressed as incidence rates are rarely reported for village-chicken populations because data from repeated visits, including precise numbers of withdrawals and additions, are seldom collected in rural villages. Because chickens scavenge and move without restriction within villages, it is also likely that some deaths are not observed by farmers, particularly at times of the year when other agricultural activities are of greater importance than chicken keeping (Henning et al., 2007). However, these discrepancies between reported and unobserved mortalities have never been comprehensively quantified. If the number of unobserved mortalities among village chickens could be estimated, the MRs expressed as incidence rates could be adjusted accordingly. We had four objectives: to estimate the antibody seroprevalence of protective titres against ND virus (NDV); to report bird-count discrepancies and the age-group-specific MRs that considered “missing” birds as deaths; to describe cause-specific MRs; and to describe the monthly MRs in relation to the seroprevalence of protective titres in the preceding months.
Section snippets
Study design, sample size calculations and selection of households
We conducted a longitudinal (panel) study in 10 villages located in two townships in the north and the south of Yangon Division, Myanmar. These villages were purposively chosen by staff from the Livestock Breeding and Veterinary Department of Myanmar based on the following criteria: (1) the village had to be in an area with veterinary services capable of conducting the data collection, (2) the village must have had households that were chicken farming using the typical Myanmar village chicken
Distribution of discrepancies
Over the total of 1505 household-months, discrepancies between numbers of birds present and expected at the time of visit occurred in 37% of household-months for adults, 62% for growers and 60% for chicks. The distribution of discrepancies in all age groups included both positive and negative values (Table 1). For adults, 136 positive (9.0% of household-months) and 417 negative (27.7%) household-months with discrepancies were observed. For growers, 187 positive (12.4%) and 743 negative (49.4%)
Discussion
The adjusted MRs are likely to represent a more accurate measure of mortality frequency in a village-chicken environment than observed MRs. Positive discrepancies between observed and expected bird numbers were probably not due to errors in counts of total birds numbers because birds were usually counted at early morning visits, before they had left the household to scavenge within the village. These positive discrepancies are also unlikely to be due to errors in the recall of numbers of
Acknowledgements
We thank the enumerators for conducting the interviews and the farmers who participated, for their cooperation and time. We are grateful to the staff of the Livestock Breeding and Veterinary Department, who conducted the serological testing and the data entry. We thank the Director General of the Livestock Breeding and Veterinary Department, U Maung Maung Nyunt, for his support for this research. The Australian Centre for International Agriculture Research (ACIAR) provided the funding for this
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